static void Main(string[] args)
{
// Write names of the songs you want to visualize
string[] files = new string[] {
"Home.wav",
};
AudioRecognitionLibrary.Recognizer.AudioRecognizer recognizer = new AudioRecognitionLibrary.Recognizer.AudioRecognizer();
foreach (var file in files)
{
// Compute BPM and write result into the console
var audio = Recorder.GetAudio($"Resources/Songs/{file}");
Console.WriteLine($"FILE: {file}");
Console.WriteLine(recognizer.GetBPM(audio, true));
// Run visualisation
AudioProcessor.ConvertToMono(audio);
// Change last parameter to see other visualisations
var window = new global::Visualizer.Visualizer(audio.Data, audio.Channels, audio.SampleRate, VisualisationModes.Frequencies);
window.Run();
}
}
/// <summary>
/// Creates fingerprint of given audio and returns it together with number of valid notes. (needed to compute recognition accuracy). <br></br>
/// </summary>
/// <param name="audio">Audio whos fingerprint we want.</param>
/// <returns>Tuple where Item1 is fingerprint, Item2 is total number of notes. <br></br>fingerprint: [hash; (absolute anchor times)]<br></br>Note: Address is the hash.</returns>
public Tuple <Dictionary <uint, List <uint> >, int> GetAudioFingerprint(IAudioFormat audio)
{
short[] monoData = AudioProcessor.ConvertToMono(audio);
double[] data = Array.ConvertAll(monoData, item => (double)item);
//compute downsample coeficient for resampling to Parameters.TargetSamplingRate
int downsampleCoef = (int)audio.SampleRate / Parameters.TargetSamplingRate;
double[] downsampledData = AudioProcessor.DownSample(data, downsampleCoef, audio.SampleRate);
int bufferSize = Parameters.WindowSize / downsampleCoef; //default: 4096/4 = 1024
var timeFrequencyPoints = CreateTimeFrequencyPoints(bufferSize, downsampledData);
//[hash;(AbsAnchorTimes)]
Dictionary <uint, List <uint> > fingerprint = CreateRecordAddresses(timeFrequencyPoints);
return(new Tuple <Dictionary <uint, List <uint> >, int> (fingerprint, timeFrequencyPoints.Count));
}