Exemplo n.º 1
0
        static void Main(string[] args)
        {
            // Find where this executable is launched from
            string[] cargs = Environment.GetCommandLineArgs();
            _thisFolder = Path.GetDirectoryName(cargs[0]);
            if (String.IsNullOrEmpty(_thisFolder))
            {
                _thisFolder = Environment.CurrentDirectory;
            }

            string appData = Environment.GetFolderPath(Environment.SpecialFolder.CommonApplicationData);
            _impulsesFolder = Path.GetFullPath(Path.Combine(appData, "InguzEQ" + slash + "Impulses" + slash));

            string[] inFiles = new string[4];
            string inL = "";
            string inR = "";
            if (!DisplayInfo())
            {
                return;
            }

            bool ok = (args.Length > 0);
            bool longUsage = false;

            for (int j = 0; ok && j < args.Length; j++)
            {
                string arg = args[j];
                switch (args[j].ToUpperInvariant())
                {
                    case "/?":
                    case "-?":
                    case "/H":
                    case "/HELP":
                        ok = false;
                        longUsage = true;
                        break;

                    case "/L":
                    case "/0":
                        inFiles[0] = args[++j];
                        _nInFiles = Math.Max(_nInFiles, 1);
                        break;

                    case "/R":
                    case "/1":
                        inFiles[1] = args[++j];
                        _nInFiles = Math.Max(_nInFiles, 2);
                        break;

                    case "/2":
                        inFiles[2] = args[++j];
                        _nInFiles = Math.Max(_nInFiles, 3);
                        break;
                    case "/3":
                        inFiles[3] = args[++j];
                        _nInFiles = Math.Max(_nInFiles, 4);
                        break;

                    case "/LENGTH":
                        _filterLen = int.Parse(args[++j], CultureInfo.InvariantCulture);
                        if (_filterLen < 16)
                        {
                            throw new Exception("Length is too small.");
                        }
                        break;

                    case "/DBL":
                        _dbl = true;
                        break;

                    case "/PCM":
                        _pcm = true;
                        break;

                    case "/NODRC":
                        _noDRC = true;
                        break;

                    case "/NOSKEW":
                        _noSkew = true;
                        break;

                    case "/NONORM":
                        // No normalization of the impulse response (undocumented)
                        _noNorm = true;
                        break;

                    case "/SPLIT":
                        _split = true;
                        break;

                    case "/COPY":
                        _copy = true;
                        break;

                    case "/GAIN":
                        _gain = double.Parse(args[++j], CultureInfo.InvariantCulture);
                        break;

                    case "/ALL":
                        // Returns negative-time components as part of the impulse response
                        // (experimental, to be used for THD measurement)
                        _returnAll = true;
                        break;

                    case "/POWER":
                        // Raises sweep to power n
                        // (experimental, to be used for THD measurement)
                        _power = int.Parse(args[++j], CultureInfo.InvariantCulture);
                        break;

                    case "/FMIN":
                        // (experimental, i.e. broken)
                        _fmin = int.Parse(args[++j], CultureInfo.InvariantCulture);
                        _fminSpecified = true;
                        break;

                    case "/FMAX":
                        // (experimental, i.e. broken)
                        _fmax = int.Parse(args[++j], CultureInfo.InvariantCulture);
                        _fmaxSpecified = true;
                        break;

                    case "/DIRECT":
                        // Create filtered (direct-sound) filters
                        _doDirectFilters = true;
                        break;

                    case "/NOSUB":
                        // Don't apply subsonic filter to the impulse response
                        _noSubsonicFilter = true;
                        break;

                    case "/NOOVER":
                        // Don't override DRC's settings for filter type and length
                        _noOverrideDRC = true;
                        break;

                    case "/KEEPTEMP":
                        // Undocumented
                        _keepTempFiles = true;
                        break;

                    case "/REFCH":
                        // Override the reference-channel detection
                        _refchannel = int.Parse(args[++j], CultureInfo.InvariantCulture);
                        if (_refchannel<0 || _refchannel > _nInFiles - 1)
                        {
                            throw new Exception(String.Format("RefCh can only be from 0 to {0}.", _nInFiles-1));
                        }
                        break;

                    case "/ENV":
                        // Undocumented.  Save the Hilbert envelope
                        _env = true;
                        break;

                    case "-":
                        // ignore
                        break;

                    default:
                        ok = false;
                        break;
                }
            }
            if (!ok)
            {
                DisplayUsage(longUsage);
            }
            else
            {
                try
                {
                    if (!_noDRC)
                    {
                        if (!File.Exists(GetDRCExe()))
                        {
                            stderr.WriteLine("Denis Sbragion's DRC (http://drc-fir.sourceforge.net/) was not found.");
                            stderr.WriteLine("Only the impulse response will be calculated, not correction filters.");
                            stderr.WriteLine("");
                            _noDRC = true;
                        }
                    }
                    if (!_noDRC)
                    {
                        FileInfo[] drcfiles = new DirectoryInfo(_thisFolder).GetFiles("*.drc");
                        if (drcfiles.Length == 0)
                        {
                            stderr.WriteLine("No .drc files were found in the current folder.");
                            stderr.WriteLine("Only the impulse response will be calculated, not correction filters.");
                            stderr.WriteLine("");
                            _noDRC = true;
                        }
                    }

                    for(int i=0; i<_nInFiles; i++)
                    {
                        string inFile = inFiles[i];
                        if (String.IsNullOrEmpty(inFile))
                        {
                            stderr.WriteLine("Error: The {0} input file was not specified.", FileDescription(i));
                            return;
                        }
                        if (!File.Exists(inFile))
                        {
                            stderr.WriteLine("Error: The {0} input file {1} was not found.", FileDescription(i), inFile);
                            return;
                        }

                        for (int j = 0; j < i; j++)
                        {
                            if (inFile.Equals(inFiles[j]))
                            {
                                stderr.WriteLine("Warning: The same input file ({0}) was specified for both {1} and {2}!", inFile, FileDescription(j), FileDescription(i));
                                //stderr.WriteLine();
                            }
                        }
                    }

                    // Temporary
                    if (_nInFiles != 2)
                    {
                        stderr.WriteLine("Error: Two input files must be specified.");
                        return;
                    }
                    inL = inFiles[0];
                    inR = inFiles[1];
                    // end temporary

                    uint sampleRate;
                    List<SoundObj> impulses;
                    List<ISoundObj> filteredImpulses;
                    List<string> impDirects;
                    List<Complex[]> impulseFFTs;
                    List<double> maxs;

                    SoundObj impulseL;
                    SoundObj impulseR;
                    ISoundObj filteredImpulseL = null;
                    ISoundObj filteredImpulseR = null;

                    string impDirectL = null;
                    string impDirectR = null;

                    Complex[] impulseLFFT;
                    Complex[] impulseRFFT;
                    WaveWriter writer;

                    ISoundObj buff;
                    double g;

                    if (!_keepTempFiles)
                    {
                        _tempFiles.Add("rps.pcm");
                        _tempFiles.Add("rtc.pcm");
                    }

                    // Find the left impulse
                    stderr.WriteLine("Processing left measurement ({0})...", inL);
                    impulseL = Deconvolve(inL, out impulseLFFT, out _peakPosL);
                    sampleRate = impulseL.SampleRate;
                    _sampleRate = sampleRate;
                    double peakM = Math.Round(MathUtil.Metres(_peakPosL, sampleRate), 2);
                    double peakFt = Math.Round(MathUtil.Feet(_peakPosL, sampleRate), 2);
                    stderr.WriteLine("  Impulse peak at sample {0} ({1}m, {2}ft)", _peakPosL, peakM, peakFt);

                    // Write to PCM
                    string impFileL = Path.GetFileNameWithoutExtension(inL) + "_imp" + ".pcm";
                    if (!_keepTempFiles)
                    {
                        _tempFiles.Add(impFileL);
                    }
                    writer = new WaveWriter(impFileL);
                    writer.Input = impulseL;
                    writer.Format = WaveFormat.IEEE_FLOAT;
                    writer.BitsPerSample = 32;
                    writer.SampleRate = _sampleRate;
                    writer.Raw = true;
                    writer.Run();
                    writer.Close();

                    // Write the impulseFFT to disk
                    int L = impulseLFFT.Length;
                    string impTempL = Path.GetFileNameWithoutExtension(inL) + "_imp" + ".dat";
                    _tempFiles.Add(impTempL);
                    writer = new WaveWriter(impTempL);
                    writer.Input = new CallbackSource(2, sampleRate, delegate(long j)
                    {
                        if (j >= L / 2)
                        {
                            return null;
                        }
                        Complex si = impulseLFFT[j]; // +impulseLFFT[L - j - 1];
                        ISample s = new Sample2();
                        s[0] = si.Magnitude;
                        s[1] = si.Phase / Math.PI;
                        return s;
                    });
                    writer.Format = WaveFormat.IEEE_FLOAT;
                    writer.BitsPerSample = 32;
                    writer.SampleRate = _sampleRate;
                    writer.Raw = false;
                    writer.Run();
                    writer.Close();
                    writer = null;

                    impulseLFFT = null;
                    GC.Collect();

                    if (_doDirectFilters)
                    {
                        // Sliding low-pass filter over the impulse
                        stderr.WriteLine("  Filtering...");
                        filteredImpulseL = SlidingLowPass(impulseL, _peakPosL);

                        // Write PCM for the filtered impulse
                        impDirectL = Path.GetFileNameWithoutExtension(inL) + "_impfilt" + ".pcm";
                        if (!_keepTempFiles)
                        {
                            _tempFiles.Add(impDirectL);
                        }
                        writer = new WaveWriter(impDirectL);
                        writer.Input = filteredImpulseL;
                        writer.Format = WaveFormat.IEEE_FLOAT;
                        writer.SampleRate = _sampleRate;
                        writer.BitsPerSample = 32;
                        writer.Raw = false;
                        writer.Run();
                        writer.Close();
                        writer = null;
                        filteredImpulseL.Reset();
                    }

                    GC.Collect();
                    stderr.WriteLine("  Deconvolution: left impulse done.");
                    stderr.WriteLine();

                    // Find the right impulse
                    stderr.WriteLine("Processing right measurement ({0})...", inR);
                    impulseR = Deconvolve(inR, out impulseRFFT, out _peakPosR);
                    peakM = Math.Round(MathUtil.Metres(_peakPosR, sampleRate), 2);
                    peakFt = Math.Round(MathUtil.Feet(_peakPosR, sampleRate), 2);
                    stderr.WriteLine("  Impulse peak at sample {0} ({1}m, {2}ft)", _peakPosR, peakM, peakFt);

                    // Write to PCM
                    string impFileR = Path.GetFileNameWithoutExtension(inR) + "_imp" + ".pcm";
                    if (!_keepTempFiles)
                    {
                        _tempFiles.Add(impFileR);
                    }
                    writer = new WaveWriter(impFileR);
                    writer.Input = impulseR;
                    writer.Format = WaveFormat.IEEE_FLOAT;
                    writer.BitsPerSample = 32;
                    writer.SampleRate = _sampleRate;
                    writer.Raw = true;
                    writer.Run();
                    writer.Close();

                    // Write the impulseFFT magnitude to disk
                    L = impulseRFFT.Length;
                    string impTempR = Path.GetFileNameWithoutExtension(inR) + "_imp" + ".dat";
                    _tempFiles.Add(impTempR);
                    writer = new WaveWriter(impTempR);
                    writer.Input = new CallbackSource(2, impulseR.SampleRate, delegate(long j)
                    {
                        if (j >= L / 2)
                        {
                            return null;
                        }
                        Complex si = impulseRFFT[j]; // +impulseRFFT[L - j - 1];
                        ISample s = new Sample2();
                        s[0] = si.Magnitude;
                        s[1] = si.Phase / Math.PI;
                        return s;
                    });
                    writer.Format = WaveFormat.IEEE_FLOAT;
                    writer.BitsPerSample = 32;
                    writer.SampleRate = _sampleRate;
                    writer.Raw = false;
                    writer.Run();
                    writer.Close();
                    writer = null;

                    impulseRFFT = null;
                    GC.Collect();

                    if (_doDirectFilters)
                    {
                        // Sliding low-pass filter over the impulse
                        stderr.WriteLine("  Filtering...");
                        filteredImpulseR = SlidingLowPass(impulseR, _peakPosR);

                        // Write PCM for the filtered impulse
                        impDirectR = Path.GetFileNameWithoutExtension(inR) + "_impfilt" + ".pcm";
                        if (!_keepTempFiles)
                        {
                            _tempFiles.Add(impDirectR);
                        }
                        writer = new WaveWriter(impDirectR);
                        writer.Input = filteredImpulseR;
                        writer.Format = WaveFormat.IEEE_FLOAT;
                        writer.BitsPerSample = 32;
                        writer.SampleRate = _sampleRate;
                        writer.Raw = false;
                        writer.Run();
                        writer.Close();
                        writer = null;
                        filteredImpulseR.Reset();
                    }

                    GC.Collect();

                    stderr.WriteLine("  Deconvolution: right impulse done.");
                    stderr.WriteLine();

                    // Join the left and right impulse files (truncated at 65536) into a WAV
                    // and normalize loudness for each channel
                    stderr.WriteLine("Splicing and normalizing (1)");
                    ChannelSplicer longstereoImpulse = new ChannelSplicer();

                    // (Don't normalize each channel's volume separately if _returnAll, it's just too expensive)
                    if (_returnAll)
                    {
                        buff = impulseL;
                    }
                    else
                    {
                        buff = new SoundBuffer(new SampleBuffer(impulseL).Subset(0, 131071));
                        g = Loudness.WeightedVolume(buff);
                        (buff as SoundBuffer).ApplyGain(1 / g);
                    }
                    longstereoImpulse.Add(buff);

                    if (_returnAll)
                    {
                        buff = impulseR;
                    }
                    else
                    {
                        buff = new SoundBuffer(new SampleBuffer(impulseR).Subset(0, 131071));
                        g = Loudness.WeightedVolume(buff);
                        (buff as SoundBuffer).ApplyGain(1 / g);
                    }
                    longstereoImpulse.Add(buff);

                    ISoundObj stereoImpulse = longstereoImpulse;

                    _impulseFiles.Add("Impulse_Response_Measured.wav: stereo impulse response from measurements");
                    writer = new WaveWriter("Impulse_Response_Measured.wav");
                    writer.Input = longstereoImpulse;
                    writer.Format = WaveFormat.IEEE_FLOAT;
                    writer.BitsPerSample = 32;
                    writer.SampleRate = _sampleRate;
                    writer.Normalization = -1;
                    writer.Raw = false;
                    writer.Run();
                    writer.Close();
                    writer = null;

                    if (_env)
                    {
                        // Also save the Hilbert envelope
                        HilbertEnvelope env = new HilbertEnvelope(8191);
                        env.Input = longstereoImpulse;
                        _impulseFiles.Add("Impulse_Response_Envelope.wav: Hilbert envelope of the impulse response");
                        writer = new WaveWriter("Impulse_Response_Envelope.wav");
                        writer.Input = env;
                        writer.Format = WaveFormat.IEEE_FLOAT;
                        writer.BitsPerSample = 32;
                        writer.SampleRate = _sampleRate;
                        writer.Normalization = -1;
                        writer.Raw = false;
                        writer.Run();
                        writer.Close();
                        writer = null;
                    }

                    if (_dbl)
                    {
                        // Create DBL files for Acourate
                        _impulseFiles.Add("PulseL.dbl: impulse response, raw data (64-bit float), left channel ");
                        _impulseFiles.Add("PulseR.dbl: impulse response, raw data (64-bit float), right channel");
                        _impulseFiles.Add("  (use skew=" + (_peakPosL - _peakPosR) + " for time alignment)");
                        WriteImpulseDBL(stereoImpulse, "PulseL.dbl", "PulseR.dbl");
                    }

                    if (_pcm)
                    {
                        // Create PCM files for Octave (etc)
                        _impulseFiles.Add("LUncorrected.pcm: impulse response, raw data (32-bit float), left channel");
                        _impulseFiles.Add("RUncorrected.pcm: impulse response, raw data (32-bit float), right channel");
                        WriteImpulsePCM(stereoImpulse, "LUncorrected.pcm", "RUncorrected.pcm");
                    }

                    stereoImpulse = null;
                    longstereoImpulse = null;
                    buff = null;
                    GC.Collect();

                    if (_doDirectFilters)
                    {
                        // Same for the filtered impulse response
                        stderr.WriteLine("Splicing and normalizing (2)");
                        ChannelSplicer longstereoImpulseF = new ChannelSplicer();

                        buff = new SoundBuffer(new SampleBuffer(filteredImpulseL).Subset(0, 131071));
                        double gL = Loudness.WeightedVolume(buff);
                        (buff as SoundBuffer).ApplyGain(1 / gL);
                        longstereoImpulseF.Add(buff);
                        FilterProfile lfgDirectL = new FilterProfile(buff, 0.5);

                        buff = new SoundBuffer(new SampleBuffer(filteredImpulseR).Subset(0, 131071));
                        double gR = Loudness.WeightedVolume(buff);
                        (buff as SoundBuffer).ApplyGain(1 / gR);
                        longstereoImpulseF.Add(buff);
                        FilterProfile lfgDirectR = new FilterProfile(buff, 0.5);

                        _impulseFiles.Add("Impulse_Response_Filtered.wav: approximation to direct-sound impulse response");
                        writer = new WaveWriter("Impulse_Response_Filtered.wav");
                        writer.Input = longstereoImpulseF;
                        writer.Format = WaveFormat.IEEE_FLOAT;
                        writer.BitsPerSample = 32;
                        writer.SampleRate = _sampleRate;
                        writer.Normalization = -1;
                        writer.Raw = false;
                        writer.Run();
                        writer.Close();
                        double gg = writer.Gain;
                        writer = null;
                        longstereoImpulseF = null;

                        ChannelSplicer longstereoImpulseD = new ChannelSplicer();

                        Mixer diffuse = new Mixer();
                        diffuse.Add(impulseL, 1.0);
                        diffuse.Add(filteredImpulseL, -1.0);
                        buff = new SoundBuffer(new SampleBuffer(diffuse).Subset(0, 131071));
                        (buff as SoundBuffer).ApplyGain(1 / gL);
                        longstereoImpulseD.Add(buff);
                        FilterProfile lfgDiffuseL = new FilterProfile(buff, 0.5);

                        diffuse = new Mixer();
                        diffuse.Add(impulseR, 1.0);
                        diffuse.Add(filteredImpulseR, -1.0);
                        buff = new SoundBuffer(new SampleBuffer(diffuse).Subset(0, 131071));
                        (buff as SoundBuffer).ApplyGain(1 / gR);
                        longstereoImpulseD.Add(buff);
                        FilterProfile lfgDiffuseR = new FilterProfile(buff, 0.5);

                        _impulseFiles.Add("Impulse_Response_Diffuse.wav: approximation to diffuse-field remnant");
                        writer = new WaveWriter("Impulse_Response_Diffuse.wav");
                        writer.Input = longstereoImpulseD;
                        writer.Format = WaveFormat.IEEE_FLOAT;
                        writer.BitsPerSample = 32;
                        writer.SampleRate = _sampleRate;
                        writer.Gain = gg;
                        writer.Raw = false;
                        writer.Run();
                        writer.Close();
                        writer = null;

                        // Filter the diffuse-field curve against double the diffuse-field curve
                        FilterImpulse fiDiffuse = new FilterImpulse(8192, HRTF.diffuseDiff0() * 2, FilterInterpolation.COSINE, sampleRate);
                        FastConvolver co = new FastConvolver(longstereoImpulseD, fiDiffuse);
                        SoundBuffer buffd = new SoundBuffer(co);
                        _impulseFiles.Add("Impulse_Response_Diffuse_Comp.wav: filtered diffuse-field remnant");
                        writer = new WaveWriter("Impulse_Response_Diffuse_Comp.wav");
                        writer.Input = buffd.Subset(4096);
                        writer.Format = WaveFormat.IEEE_FLOAT;
                        writer.BitsPerSample = 32;
                        writer.SampleRate = _sampleRate;
                        writer.Gain = gg;
                        writer.Raw = false;
                        writer.Run();
                        writer.Close();
                        writer = null;

                        longstereoImpulseD = null;

                        bool any = false;
                        string jsonFile = "Diff.json";
                        FileStream fs = new FileStream(jsonFile, FileMode.Create);
                        StreamWriter sw = new StreamWriter(fs);
                        sw.WriteLine("{");
                        FilterProfile lfgDiffL = lfgDirectL - lfgDiffuseL;
                        if (lfgDiffL != null)
                        {
                            if (any) sw.WriteLine(",");
                            any = true;
                            sw.Write(lfgDiffL.ToJSONString("DiffL", "Diffuse field relative to direct, left channel"));
                        }
                        FilterProfile lfgDiffR = lfgDirectR - lfgDiffuseR;
                        if (lfgDiffR != null)
                        {
                            if (any) sw.WriteLine(",");
                            any = true;
                            sw.Write(lfgDiffR.ToJSONString("DiffR", "Diffuse field relative to direct, right channel"));
                        }
                        sw.WriteLine("}");
                        sw.Close();
                        fs.Close();
                    }
                    buff = null;
                    GC.Collect();

                    System.Console.Error.WriteLine();

                    if (!_noDRC)
                    {
                        // Analyze the freq response
                        // and create targets
                        // target_full.txt and target_half.txt
                        stderr.WriteLine("Analyzing response curves.");
                        Prep(impTempL, impTempR, "Impulse_Response_Measured.wav", "NoCorrection");

                        // Call DRC to create the filters
                        // then splice the DRC left & right output files together
                        stderr.WriteLine("Preparing for DRC.");
                        if (DoDRC(impFileL, impFileR, impDirectL, impDirectR, _peakPosL, _peakPosR, "Impulse_Response_Measured.wav", "Impulse_Response_Filtered.wav"))
                        {
                            stderr.WriteLine("Success!");
                        }
                    }

                    // Report names of the impulse files created
                    if (_impulseFiles.Count == 0)
                    {
                        System.Console.Error.WriteLine("No impulse response files were created.");
                    }
                    if (_impulseFiles.Count > 0)
                    {
                        System.Console.Error.WriteLine("Impulse response files were created:");
                        foreach (string f in _impulseFiles)
                        {
                            string s = "  " + f;
                            System.Console.Error.WriteLine(s);
                        }
                    }

                    // Report names of the filter files created
                    if (_filterFiles.Count == 0 && !_noDRC)
                    {
                        System.Console.Error.WriteLine("No correction filter files were created.");
                    }
                    if (_filterFiles.Count > 0)
                    {
                        System.Console.Error.WriteLine("Correction filter files were created:");
                        foreach (string f in _filterFiles)
                        {
                            string s = "  " + f;
                            if (_copy)
                            {
                                try
                                {
                                    File.Copy(f, Path.Combine(_impulsesFolder, f), true);
                                    s += " (copied)";
                                }
                                catch (Exception e)
                                {
                                    s += " (not copied: " + e.Message + ")";
                                }
                            }
                            System.Console.Error.WriteLine(s);
                        }
                    }
                    if (_peakPosL == _peakPosR)
                    {
                        System.Console.Error.WriteLine();
                        System.Console.Error.WriteLine("Zero time difference between channels.  Are you sure the recordings are correct?");
                    }
                }
                catch (Exception e)
                {
                    stderr.WriteLine();
                    stderr.WriteLine(e.Message);
                    stderr.WriteLine(e.StackTrace);
                }
                finally
                {
                    foreach (string tempFile in _tempFiles)
                    {
                        try
                        {
                            File.Delete(tempFile);
                        }
                        catch (Exception) { /* ignore */ }
                    }
                }
            }
            stderr.Flush();
        }
Exemplo n.º 2
0
        static void FindPeaks(ISoundObj impulse)
        {
            // Input: a single-channel impulse

            // Find the peak positions:
            // - unfiltered
            // - filtered with various bandpass filters

            uint sr = impulse.SampleRate;
            ushort nc = impulse.NumChannels;

            double peakM = Math.Round(MathUtil.Metres(_peakPosL, sr), 2);
            double peakFt = Math.Round(MathUtil.Feet(_peakPosL, sr), 2);
            stderr.WriteLine("  Impulse peak at sample {0} ({1}m, {2}ft)", _peakPosL, peakM, peakFt);

            FilterImpulse fi;
            WaveWriter wri;
            FastConvolver co;

            fi = new FilterImpulse(2048, bandpass(400,sr), FilterInterpolation.COSINE, sr);
            co = new FastConvolver(impulse, fi);
            wri = new WaveWriter("bp_400.wav", nc, sr, 16, DitherType.NONE, WaveFormat.PCM);
            wri.Input = co;
            wri.Normalization = -1;
            wri.Run();
            wri.Close();

            fi = new FilterImpulse(2048, bandpass(6000, sr), FilterInterpolation.COSINE, sr);
            co = new FastConvolver(impulse, fi);
            wri = new WaveWriter("bp_6000.wav", nc, sr, 16, DitherType.NONE, WaveFormat.PCM);
            wri.Input = co;
            wri.Normalization = -1;
            wri.Run();
            wri.Close();

            // and

            fi = new FilterImpulse(2048, bandpass(160, sr), FilterInterpolation.COSINE, sr);
            co = new FastConvolver(impulse, fi);
            wri = new WaveWriter("bp_160.wav", nc, sr, 16, DitherType.NONE, WaveFormat.PCM);
            wri.Input = co;
            wri.Normalization = -1;
            wri.Run();
            wri.Close();

            fi = new FilterImpulse(2048, bandpass(2560, sr), FilterInterpolation.COSINE, sr);
            co = new FastConvolver(impulse, fi);
            wri = new WaveWriter("bp_2560.wav", nc, sr, 16, DitherType.NONE, WaveFormat.PCM);
            wri.Input = co;
            wri.Normalization = -1;
            wri.Run();
            wri.Close();

            fi = new FilterImpulse(2048, bandpass(18000, sr), FilterInterpolation.COSINE, sr);
            co = new FastConvolver(impulse, fi);
            wri = new WaveWriter("bp_18k.wav", nc, sr, 16, DitherType.NONE, WaveFormat.PCM);
            wri.Input = co;
            wri.Normalization = -1;
            wri.Run();
            wri.Close();
        }
Exemplo n.º 3
0
        static void Prep(string infileL, string infileR, string stereoImpulseFile, string outFile)
        {
            // Input files are complex
            // 0=mag, 1=phase/pi (so it looks OK in a wave editor!)
            // FFTs of the room impulse response

            // Take two half-FFT-of-impulse WAV files
            // Average them, into an array

            int n;
            SoundBuffer buff;
            WaveWriter wri;
            //          NoiseGenerator noise;
            FastConvolver conv;

            /*
            // Convolve noise with the in-room impulse
            noise = new NoiseGenerator(NoiseType.WHITE_FLAT, 2, (int)131072, stereoImpulse.SampleRate, 1.0);
            conv = new FastConvolver();
            conv.impulse = stereoImpulse;
            conv.Input = noise;

            wri = new WaveWriter("ImpulseResponse_InRoom.wav");
            wri.Input = conv;
            wri.Format = WaveFormat.IEEE_FLOAT;
            wri.BitsPerSample = 32;
            wri.Normalization = 0;
            wri.Run();
            wri.Close();
            wri = null;
            conv = null;
            */

            WaveReader rdrL = new WaveReader(infileL);
            buff = new SoundBuffer(rdrL);
            n = (int)buff.ReadAll();
            uint sampleRate = buff.SampleRate;
            uint nyquist = sampleRate / 2;

            double binw = (nyquist / (double)n);

            WaveReader rdrR = new WaveReader(infileR);

            IEnumerator<ISample> enumL = buff.Samples;
            IEnumerator<ISample> enumR = rdrR.Samples;

            // For easier processing and visualisation
            // read this in to an ERB-scale (not quite log-scale) array
            // then we can smooth by convolving with a single half-cosine.
            //

            int nn = (int)ERB.f2bin(nyquist, sampleRate) + 1;

            double[] muff = new double[nn];

            int prevbin = 0;
            int nbin = 0;
            double v = 0;
            int j = 0;
            while (true)
            {
                double f = (double)j * binw;    // equiv freq, Hz

                int bin = (int)ERB.f2bin(f, sampleRate); // the bin we drop this sample in
                if (bin > nn)
                {
                    // One of the channels has more, but we're overrun so stop now
                    break;
                }

                j++;
                bool more = false;
                more |= enumL.MoveNext();
                more |= enumR.MoveNext();
                if (!more)
                {
                    muff[prevbin] = v / nbin;
                    break;
                }

                v += enumL.Current[0];  // magnitude
                v += enumR.Current[0];  // magnitude
                nbin++;

                if (bin > prevbin)
                {
                    muff[prevbin] = v / nbin;
                    v = 0;
                    nbin = 0;
                    prevbin = bin;
                }
            }

            double[] smoo = ERB.smooth(muff, 38);

            // Pull out the freq response at ERB centers
            FilterProfile lfg = ERB.profile(smoo, sampleRate);

            // Write this response as a 'target' file
            /*
            FileStream fs = new FileStream("target_full.txt", FileMode.Create);
            StreamWriter sw = new StreamWriter(fs, Encoding.ASCII);
            foreach (FreqGain fg in lfg)
            {
                sw.WriteLine("{0} {1:f4}", Math.Round(fg.Freq), fg.Gain);
            }
            sw.Close();
            */
            /*
            fs = new FileStream("target_half.txt", FileMode.Create);
            sw = new StreamWriter(fs, Encoding.ASCII);
            foreach (FreqGain fg in lfg)
            {
                sw.WriteLine("{0} {1:f4}", Math.Round(fg.Freq), fg.Gain/2);
            }
            sw.Close();
            */

            // Create a filter to invert this response
            FilterProfile ifg = new FilterProfile();
            foreach (FreqGain fg in lfg)
            {
                ifg.Add(new FreqGain(fg.Freq, -fg.Gain));
            }

            ISoundObj filterImpulse = new FilterImpulse(0, ifg, FilterInterpolation.COSINE, sampleRate);
            filterImpulse.SampleRate = sampleRate;

            // Write the filter impulse to disk
            string sNoCorr = outFile + ".wav";
            wri = new WaveWriter(sNoCorr);
            wri.Input = filterImpulse; // invertor;
            wri.Format = WaveFormat.IEEE_FLOAT;
            wri.BitsPerSample = 32;
            wri.SampleRate = _sampleRate;
            wri.Normalization = -1;
            wri.Run();
            wri.Close();
            _filterFiles.Add(sNoCorr);

            /*
            // Convolve noise with the NoCorrection filter
            noise = new NoiseGenerator(NoiseType.WHITE_FLAT, 2, (int)131072, stereoImpulse.SampleRate, 1.0);
            conv = new FastConvolver();
            conv.impulse = invertor;
            conv.Input = noise;

            wri = new WaveWriter("NoCorrection_Test.wav");
            wri.Input = conv;
            wri.Format = WaveFormat.IEEE_FLOAT;
            wri.BitsPerSample = 32;
            wri.SampleRate = _sampleRate;
            wri.Normalization = 0;
            wri.Run();
            wri.Close();
            wri = null;
            conv = null;
            */

            // Convolve this with the in-room impulse response

            WaveReader rea = new WaveReader(outFile + ".wav");
            conv = new FastConvolver();
            conv.impulse = rea;
            conv.Input = new WaveReader(stereoImpulseFile);
            wri = new WaveWriter(outFile + "_TestConvolution.wav");
            wri.Input = conv;
            wri.Format = WaveFormat.PCM;
            wri.Dither = DitherType.TRIANGULAR;
            wri.BitsPerSample = 16;
            wri.SampleRate = _sampleRate;
            wri.Normalization = -1;
            wri.Run();
            wri.Close();
            rea.Close();
            wri = null;
            conv = null;
        }
Exemplo n.º 4
0
        private static ISoundObj GetQuietnessFilter(uint nSampleRate, double nQuietness)
        {
            if (nQuietness == 0)
            {
                return null;
            }
            // Construct an impulse for the quietness setting.
            // nQuietness is value from 0 to 100 (percentage);
            // map this to phon values from 20 to 90 (approx)
            DateTime dtStart = DateTime.Now;
            FilterProfile spl = Loudness.DifferentialSPL(20, 20 + (nQuietness / 2));    // sound
            ISoundObj filterImpulse = new FilterImpulse(4096, spl, FilterInterpolation.COSINE, nSampleRate);
            if (_debug)
            {
                TimeSpan ts = DateTime.Now.Subtract(dtStart);
                Trace.WriteLine("GetQuietnessFilter1  " + ts.TotalMilliseconds);

                // DEBUG: Write the quietness impulse as wav16
                string sPath = Path.Combine(_tempFolder, "QT_" + nQuietness);
                WaveWriter wri = new WaveWriter(sPath + ".wav");
                wri.Input = filterImpulse;
                wri.Format = WaveFormat.PCM;
                wri.BitsPerSample = 16;
                wri.Normalization = -1.0;
                wri.Dither = DitherType.NONE;//.TRIANGULAR;
                wri.Run();
                wri.Close();

                ts = DateTime.Now.Subtract(dtStart);
                Trace.WriteLine("GetQuietnessFilter " + ts.TotalMilliseconds);
            }
            return filterImpulse;
        }
Exemplo n.º 5
0
        static SoundObj GetEQImpulse(ISoundObj mainImpulse, uint sampleRate, out string filterName)
        {
            DateTime dtStart = DateTime.Now;
            SoundObj filterImpulse = null;

            // Construct a string describing the filter
            string filterDescription = "EQ" + _eqBands + "_" + _inputSampleRate + "_" + _eqLoudness + "_" + FlatnessFilterPath(_impulsePath, sampleRate, _eqFlatness);

            bool nothingToDo = (_eqLoudness==0);
            nothingToDo &= (_impulsePath == null) || (_eqFlatness == 100);

            List<string> fgd = new List<string>();
            foreach (FreqGain fg in _eqValues)
            {
                fgd.Add(fg.Freq + "@" + fg.Gain);
                nothingToDo &= (fg.Gain == 0);
            }
            filterDescription = filterDescription + String.Join("_", fgd.ToArray());
            filterDescription = filterDescription + "_IM_" + _impulsePath;

            // Cached filters are named by hash of this string
            filterName = "EQ" + filterDescription.GetHashCode().ToString("x10").ToUpperInvariant();
            if (nothingToDo)
            {
                Trace.WriteLine("EQ flat");
                WriteJSON(_eqValues, null, null);
                return null;
            }
            else
            {
                Trace.WriteLine(filterName);
            }
            string filterFile = Path.Combine(_tempFolder, filterName + ".filter");

            // Does the cached filter exist?
            if (File.Exists(filterFile))
            {
                try
                {
                    // Just read the cached EQ filter from disk
                    filterImpulse = new WaveReader(filterFile);
                }
                catch (Exception e)
                {
                    if (_debug)
                    {
                        Trace.WriteLine("GetEQImpulse1: " + e.Message);
                    }
                }
            }
            if(filterImpulse==null)
            {
                // Construct a filter impulse from the list of EQ values
                SoundObj eqFilter = new FilterImpulse(0, _eqValues, FilterInterpolation.COSINE, _inputSampleRate);
                filterImpulse = eqFilter;

                ISoundObj qtFilter = GetQuietnessFilter(_inputSampleRate, _eqLoudness);
                if (qtFilter != null)
                {
                    // Convolve the two, to create a EQ-and-loudness filter
                    FastConvolver tmpConvolver = new FastConvolver();
                    tmpConvolver.partitions = 0;
                    tmpConvolver.impulse = qtFilter;
                    tmpConvolver.Input = eqFilter;
                    filterImpulse = tmpConvolver;
                }

                ISoundObj ftFilter = GetFlatnessFilter(_impulsePath, mainImpulse, _eqFlatness);
                if (ftFilter != null)
                {
                    // Convolve the two, to create a EQ-and-loudness filter
                    FastConvolver tmpConvolver2 = new FastConvolver();
                    tmpConvolver2.partitions = 0;
                    tmpConvolver2.impulse = filterImpulse;
                    tmpConvolver2.Input = ftFilter;
                    filterImpulse = tmpConvolver2;
                }

                // Blackman window to make the filter smaller?

                try
                {
                    // Write the filter impulse to disk
                    WaveWriter wri = new WaveWriter(filterFile);
                    wri.Input = filterImpulse;
                    wri.Format = WaveFormat.IEEE_FLOAT;
                    wri.BitsPerSample = 64;
                    wri.Run();
                    wri.Close();

                    if (_debug)
                    {
                        // DEBUG: Write the filter impulse as wav16
                        wri = new WaveWriter(filterFile + ".wav");
                        wri.Input = filterImpulse;
                        wri.Format = WaveFormat.PCM;
                        wri.BitsPerSample = 16;
                        wri.Normalization = -1.0;
                        wri.Dither = DitherType.NONE;//.TRIANGULAR;
                        wri.Run();
                        wri.Close();
                    }

                    // Write a JSON description of the filter
                    WriteJSON(_eqValues, filterImpulse, filterName);
                }
                catch (Exception e)
                {
                    if (_debug)
                    {
                        Trace.WriteLine("GetEQImpulse2: " + e.Message);
                    }
                }
            }
            filterImpulse.Reset();
            if (_debug)
            {
                TimeSpan ts = DateTime.Now.Subtract(dtStart);
                Trace.WriteLine("GetEQImpulse " + ts.TotalMilliseconds);
            }

            // Copy the filter's JSON description (if available) into "current.json"
            CopyJSON(filterName);

            return filterImpulse;
        }
Exemplo n.º 6
0
        private static ISoundObj GenerateFlatnessFilter(string impulsePath, ISoundObj impulseObj, double nFlatness)
        {
            // Flatness-filters are single channel
            // nFlatness is from 0 to 100
            // 0: follow the contours of the impulse
            // 100: completely flat

            DateTime dtStart = DateTime.Now;
            ISoundObj filterImpulse = null;
            uint nSR = impulseObj.SampleRate;
            uint nSR2 = nSR / 2;
            string sPath = FlatnessFilterPath(impulsePath, nSR, nFlatness);

            // Low flatness values (to 0) => very un-smooth
            // High flatness values (to 100) => very smooth
            double detail = (nFlatness / 50) + 0.05;

            // Get profile of the impulse
            FilterProfile lfg = new FilterProfile(impulseObj, detail);

            // Scale by the flatness values
            lfg = lfg * ((100 - nFlatness) / 100);

            // Invert
            lfg = lfg.Inverse(20);

            // Zero at HF
            lfg.Add(new FreqGain(nSR2 - 100, 0));

            // Build the flatness filter
            filterImpulse = new FilterImpulse(8192, lfg, FilterInterpolation.COSINE, nSR);

            try
            {
                // Write the filter impulse to disk
                WaveWriter wri = new WaveWriter(sPath);
                wri.Input = filterImpulse;
                wri.Format = WaveFormat.IEEE_FLOAT;
                wri.BitsPerSample = 64;
                wri.Run();
                wri.Close();

                if (_debug)
                {
                    // DEBUG: Write the flatness impulse as wav16
                    wri = new WaveWriter(sPath + ".wav");
                    wri.Input = filterImpulse;
                    wri.Format = WaveFormat.PCM;
                    wri.BitsPerSample = 16;
                    wri.Normalization = -1.0;
                    wri.Dither = DitherType.NONE;//.TRIANGULAR;
                    wri.Run();
                    wri.Close();
                }
            }
            catch (Exception e)
            {
                if (_debug)
                {
                    Trace.WriteLine("GenerateFlatnessFilter: " + e.Message);
                }
            }

            impulseObj.Reset();
            if (_debug)
            {
                TimeSpan ts = DateTime.Now.Subtract(dtStart);
                Trace.WriteLine("GenerateFlatnessFilter " + ts.TotalMilliseconds);
            }
            return filterImpulse;
        }