public class DynamicWavelet extends java.lang.Object implements PitchDetector
The pitch is the main frequency of the waveform (the 'note' being played or sung). It is expressed as a float in Hz.
Unlike the human ear, pitch detection is difficult to achieve for computers. Many algorithms have been designed and experimented, but there is no 'best' algorithm. They all depend on the context and the tradeoffs acceptable in terms of speed and latency. The context includes the quality and 'cleanness' of the audio : obviously polyphonic sounds (multiple instruments playing different notes at the same time) are extremely difficult to track, percussive or noisy audio has no pitch, most real-life audio have some noisy moments, some instruments have a lot of harmonics, etc...The dywapitchtrack is based on a custom-tailored algorithm which is of very high quality: both very accurate (precision < 0.05 semitones), very low latency (< 23 ms) and very low error rate. It has been thoroughly tested on human voice.
It can best be described as a dynamic wavelet algorithm (dywa):
The heart of the algorithm is a very powerful wavelet algorithm, described in a paper by Eric Larson and Ross Maddox "Real-Time Time-Domain Pitch Tracking Using Wavelets
| Constructor and Description |
|---|
DynamicWavelet(float sampleRate,
int bufferSize) |
| Modifier and Type | Method and Description |
|---|---|
PitchDetectionResult |
getPitch(float[] audioBuffer)
Analyzes a buffer with audio information and estimates a pitch in Hz.
|
public PitchDetectionResult getPitch(float[] audioBuffer)
PitchDetectorgetPitch in interface PitchDetectoraudioBuffer - The buffer with audio information. The information in the
buffer is not modified so it can be (re)used for e.g. FFT
analysis.