// test implementation for the pitch detection pipeline
static void Main(string[] args)
{
// load an ultrastar project (notes & song)
ProjectParser projectParser = new ProjectParser();
projectParser.loadNoteFile("/path/to/notes.txt");
IEnumerable <float[]> audioSegmentsIter = projectParser.readMonoWav16("/path/to/16khz/mono/song.wav");
// init the audio preprocessor
AudioPreprocessor audioPreprocessor = new AudioPreprocessor(
Path.Join("Assets", "Binaries", "Pca", "pcaMeanFp32.npy"),
Path.Join("Assets", "Binaries", "Pca", "pcaCompFp32.npy"));
// init the pitch classifier
PitchClassifier pitchClassifier = new PitchClassifier(
Path.Join("Assets", "Binaries", "Model", "modelWeights1TransposedFp32.npy"),
Path.Join("Assets", "Binaries", "Model", "modelWeights2TransposedFp32.npy"),
Path.Join("Assets", "Binaries", "Model", "modelBias1Fp32.npy"),
Path.Join("Assets", "Binaries", "Model", "modelBias2Fp32.npy"));
// iterate over each audio segment
foreach (float[] segment in audioSegmentsIter)
{
// transform segment to a list of features
float[][] features = audioPreprocessor.transform(segment);
// determine the most likely pitch for the segment
int pitch = pitchClassifier.predictBatch(features);
}
}