public Simulated WorkWith(float roomSize, float[] samples)
{
Position = position * roomSize;
Distance = Position.Length();
Samples = FastConvolver.Convolve(this.samples, samples);
return(this);
}
/// <summary>
/// Constructs a benchmark for Cavern's <see cref="FastConvolver"/> filter.
/// </summary>
public Convolution(int length)
{
this.length = length;
filter = new FastConvolver(new float[length]);
}
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();
}
static ISoundObj LowPassFiltered(ISoundObj input, double freqStart, double gainEnd)
{
uint sampleRate = input.SampleRate;
FilterProfile lfg = new FilterProfile();
lfg.Add(new FreqGain(freqStart, 0));
lfg.Add(new FreqGain(0.499*sampleRate, gainEnd));
FastConvolver conv = new FastConvolver();
conv.Input = input;
conv.impulse = new FilterImpulse(8192, lfg, FilterInterpolation.COSINE, sampleRate);
return conv;
}
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();
}
static bool ExecDRC(string drcfile, string target, string outfile, string infileL, string infileR, int peakPosL, int peakPosR, string stereoImpulseFile)
{
GC.Collect();
bool ok = false;
string args;
FastConvolver conv;
WaveWriter wri;
if (!File.Exists(drcfile))
{
stderr.WriteLine();
stderr.WriteLine("{0} not found.", drcfile);
return ok;
}
string tmpL;
string tmpR;
tmpL = Path.GetFileNameWithoutExtension(infileL) + ".tmp";
tmpR = Path.GetFileNameWithoutExtension(infileR) + ".tmp";
_tempFiles.Add(tmpL);
_tempFiles.Add(tmpR);
stderr.WriteLine("Exec DRC for {0}, left channel", drcfile);
stderr.WriteLine();
ok = RunDRC(drcfile, infileL, target, tmpL, peakPosL, out args);
if (ok)
{
stderr.WriteLine();
stderr.WriteLine("Exec DRC for {0}, right channel", drcfile);
stderr.WriteLine();
ok = RunDRC(drcfile, infileR, target, tmpR, peakPosR, out args);
}
if (ok)
{
stderr.WriteLine();
if (_noSkew)
{
stderr.WriteLine("Creating stereo filter {0}", outfile + ".wav" );
}
else
{
stderr.WriteLine("Creating stereo filter {0} (skew {1} samples)", outfile + ".wav", peakPosR - peakPosL);
}
ISoundObj stereoFilter = Splice(tmpL, peakPosL, tmpR, peakPosR, outfile + ".wav");
stderr.WriteLine();
// Convolve noise with the stereo filter
/*
NoiseGenerator noise = new NoiseGenerator(NoiseType.WHITE_FLAT, 2, (int)131072, stereoFilter.SampleRate, 1.0);
conv = new FastConvolver();
conv.impulse = stereoFilter;
conv.Input = noise;
wri = new WaveWriter(drcfile + "_Test.wav");
wri.Input = conv;
wri.Format = WaveFormat.IEEE_FLOAT;
wri.BitsPerSample = 32;
wri.SampleRate = _sampleRate;
wri.Normalization = -1;
wri.Run();
wri.Close();
wri = null;
conv = null;
noise = null;
* */
// Convolve filter with the in-room impulse response
WaveReader rea = new WaveReader(stereoImpulseFile);
conv = new FastConvolver();
conv.impulse = rea;
conv.Input = stereoFilter;
if (_pcm)
{
_impulseFiles.Add("LCorrected_" + outfile + ".pcm: corrected test convolution, raw data (32-bit float), left channel");
_impulseFiles.Add("RCorrected_" + outfile + ".pcm: corrected test convolution, raw data (32-bit float), right channel");
WriteImpulsePCM(conv, "LCorrected_" + outfile + ".pcm", "RCorrected_" + outfile + ".pcm");
}
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;
rea = null;
conv = null;
GC.Collect();
}
return ok;
}
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;
}
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;
}
static ISoundObj DecodeBFormatUHJ(ISoundObj source)
{
ISoundObj input = source;
uint sr = input.SampleRate;
/*
if (_ambiUseShelf)
{
// Shelf-filters
// boost W at high frequencies, and boost X, Y at low frequencies
FilterProfile lfgXY = new FilterProfile();
lfgXY.Add(new FreqGain(_ambiShelfFreq / 2, 0));
lfgXY.Add(new FreqGain(_ambiShelfFreq * 2, -1.25));
FilterImpulse fiXY = new FilterImpulse(0, lfgXY, FilterInterpolation.COSINE, sr);
FilterProfile lfgW = new FilterProfile();
lfgW.Add(new FreqGain(_ambiShelfFreq / 2, 0));
lfgW.Add(new FreqGain(_ambiShelfFreq * 2, 1.76));
FilterImpulse fiW = new FilterImpulse(0, lfgW, FilterInterpolation.COSINE, sr);
}
if (_ambiUseDistance)
{
// Distance compensation filters
// apply phase shift to X, Y at (very) low frequencies
double fc = MathUtil.FcFromMetres(_ambiDistance);
IIR1 discomp = new IIR1LP(sr, fc, 8192); // tbd: chain this
}
*/
// Transformation filters
//
// Primary reference:
// Gerzon 1985 "Ambisonics in Multichannel Broadcasting and Video"
//
// Coefficients from: http://en.wikipedia.org/wiki/Ambisonic_UHJ_format:
// S = 0.9396926*W + 0.1855740*X
// D = j(-0.3420201*W + 0.5098604*X) + 0.6554516*Y
// Left = (S + D)/2.0
// Right = (S - D)/2.0
// which makes
// Left = (0.092787 + 0.2549302j)X + (0.4698463 - 0.17101005j)W + (0.3277258)Y
// Right= (0.092787 - 0.2549302j)X + (0.4698463 + 0.17101005j)W - (0.3277258)Y
//
// Coefficients from: http://www.york.ac.uk/inst/mustech/3d_audio/ambis2.htm
// Left = (0.0928 + 0.255j)X + (0.4699 - 0.171j)W + (0.3277)Y
// Right= (0.0928 - 0.255j)X + (0.4699 + 0.171j)W - (0.3277)Y
// The Mid-Side versions are simpler
// L+R = (0.0928 + 0.255j)X + (0.4699 - 0.171j)W + (0.3277)Y + ((0.0928 - 0.255j)X + (0.4699 + 0.171j)W - (0.3277)Y)
// = (0.1856)X + (0.9398)W
// L-R = (0.0928 + 0.255j)X + (0.4699 - 0.171j)W + (0.3277)Y - ((0.0928 - 0.255j)X + (0.4699 + 0.171j)W - (0.3277)Y)
// = (0.510j)X + (0.342j)W + (0.6554)Y
// but since we're delaying signal via convolution anyway, not *too* much extra processing to do in LR mode...
// Separate the WXY channels
ISoundObj channelW = new SingleChannel(input, 0);
ISoundObj channelX = new SingleChannel(input, 1, true);
ISoundObj channelY = new SingleChannel(input, 2, true);
// Z not used; height is discarded in UHJ conversion.
// Don't assume it's there; horizontal-only .AMB files won't have a fourth channel
// ISoundObj channelZ = new SingleChannel(input, 3);
// Phase shift j is implemented with Hilbert transforms
// so let's load up some filters, multiply by the appropriate coefficients.
int len = 8191;
PhaseMultiplier xl = new PhaseMultiplier(new Complex(0.0927870, 0.25493020), len, sr);
PhaseMultiplier wl = new PhaseMultiplier(new Complex(0.4698463, -0.17101005), len, sr);
PhaseMultiplier yl = new PhaseMultiplier(new Complex(0.3277258, 0.00000000), len, sr);
PhaseMultiplier xr = new PhaseMultiplier(new Complex(0.0927870, -0.25493020), len, sr);
PhaseMultiplier wr = new PhaseMultiplier(new Complex(0.4698463, 0.17101005), len, sr);
PhaseMultiplier yr = new PhaseMultiplier(new Complex(-0.3277258, 0.00000000), len, sr);
// The convolvers to filter
FastConvolver cwl = new FastConvolver(channelW, wl);
FastConvolver cxl = new FastConvolver(channelX, xl);
FastConvolver cyl = new FastConvolver(channelY, yl);
FastConvolver cwr = new FastConvolver(channelW, wr);
FastConvolver cxr = new FastConvolver(channelX, xr);
FastConvolver cyr = new FastConvolver(channelY, yr);
// Sum to get the final output of these things:
Mixer mixerL = new Mixer();
mixerL.Add(cwl, 1.0);
mixerL.Add(cxl, 1.0);
mixerL.Add(cyl, 1.0);
Mixer mixerR = new Mixer();
mixerR.Add(cwr, 1.0);
mixerR.Add(cxr, 1.0);
mixerR.Add(cyr, 1.0);
// output in stereo
ChannelSplicer uhj = new ChannelSplicer();
uhj.Add(mixerL);
uhj.Add(mixerR);
return uhj;
}
static ISoundObj DecodeBFormatBinaural(ISoundObj source)
{
throw new NotImplementedException();
ISoundObj input = source;
uint sr = input.SampleRate;
// Convolve the BFormat data with the matrix filter
if (!String.IsNullOrEmpty(_bformatFilter))
{
string ignore;
WaveReader rdr = GetAppropriateImpulseReader(_bformatFilter, out ignore);
FastConvolver ambiConvolver = new FastConvolver(source, rdr);
input = ambiConvolver;
}
// Cardioid directed at four (or six) virtual loudspeakers
IEnumerator<ISample> src = input.Samples;
CallbackSource bin = new CallbackSource(2, sr, delegate(long j)
{
if (src.MoveNext())
{
ISample s = src.Current;
double w = s[0];
double x = s[1];
double y = s[2];
double z = s[3];
double wFactor = -0.5;
double left = x + y + z + (wFactor * w);
double right = x - y + z + (wFactor * w);
ISample sample = new Sample2(left, right);
return sample;
}
return null;
});
return bin;
}
static void LoadImpulse()
{
DateTime dtStart = DateTime.Now;
string theImpulsePath = null;
string theEQImpulseName = null;
ISoundObj main = GetMainImpulse(out theImpulsePath);
uint sr = (main == null ? _inputSampleRate : main.SampleRate);
if (sr == 0)
{
if (_debug) { Trace.WriteLine("oops: no sample rate!"); }
sr = 44100;
}
ISoundObj eq = GetEQImpulse(main, sr, out theEQImpulseName);
ISoundObj combinedFilter = null;
if (main == null && eq != null)
{
combinedFilter = eq;
}
else if (main != null && eq == null)
{
combinedFilter = main;
}
else if (main != null && eq != null)
{
// Check whether we have (and can load) a cached version of the combined filter
string tempString = theEQImpulseName + "_" + theImpulsePath;
string filterName = "CC" + tempString.GetHashCode().ToString("x10").ToUpperInvariant();
string filterFile = Path.Combine(_tempFolder, filterName + ".filter");
if (_debug)
{
Trace.WriteLine(filterName);
}
if (File.Exists(filterFile))
{
try
{
// Just read the cached EQ filter from disk
combinedFilter = new WaveReader(filterFile);
}
catch (Exception e)
{
if (_debug)
{
Trace.WriteLine("LoadImpulse1: " + e.Message);
}
}
}
if (combinedFilter == null)
{
// Convolve the room-correction impulse with the EQ impulse to make just one.
// (this is quite slow)
FastConvolver temp = new FastConvolver();
temp.partitions = 0;
temp.impulse = eq;
temp.Input = main;
combinedFilter = temp;
try
{
// Write the combined impulse
temp.Reset();
WaveWriter tempWriter = new WaveWriter(filterFile);
tempWriter.Format = WaveFormat.IEEE_FLOAT;
tempWriter.BitsPerSample = 64;
tempWriter.Input = temp;
tempWriter.Run();
tempWriter.Close();
if (_debug)
{
// DEBUG: Write the combined impulse as WAV16
temp.Reset();
tempWriter = new WaveWriter(filterFile + ".wav");
tempWriter.Format = WaveFormat.PCM;
tempWriter.BitsPerSample = 16;
tempWriter.Gain = 0.1;
tempWriter.Dither = DitherType.NONE;//.TRIANGULAR;
tempWriter.Input = temp;
tempWriter.Run();
tempWriter.Close();
}
}
catch (Exception e)
{
if (_debug)
{
Trace.WriteLine("LoadImpulse2: " + e.Message);
}
}
}
}
_MainConvolver.impulse = combinedFilter;
if (combinedFilter != null)
{
// Calculate loudness-adjusted volume of each channel of the impulse
_impulseVolumes.Clear();
for (ushort j = 0; j < combinedFilter.NumChannels; j++)
{
double v = Loudness.WeightedVolume(combinedFilter.Channel(j));
_impulseVolumes.Add(v);
if (_debug)
{
Trace.WriteLine("WV{0}: {1}", j, v);
}
}
}
combinedFilter = null;
if (_debug)
{
TimeSpan ts = DateTime.Now.Subtract(dtStart);
Trace.WriteLine("Loadmpulse " + ts.TotalMilliseconds);
}
}
