There is Antoine Schmitt's Wavelet-based method, implementation available under an MIT license:
https://github.com/antoineschmitt/dywapitchtrack It is optimized for voice, but I have found it generally works well with PNP sounds. Jamie > On Jul 9, 2014, at 1:03 PM, "Rohit Agarwal" <ro...@khitchdee.com> wrote: > > > > > Most of our modern DSP techniques that we use for the analysis of sound > signals are based on the FFT as a first step. This imposes limits on time > resolution since the FFT window has to be wide. For most natural sound > apps this is no hindrance as the rate of events is commonly slow. Speech > recognition is such an example. Even in the music space for the most part > the required time res for most common apps is not that great so FFT > suffices. > What are the alternatives to the FFT? Have wavelets been > used for real world solutions? If an app needs much higher time resolution > and there are limits on sampling frequency, what kind of time domain > techniques are well known? > -- > dupswapdrop -- the music-dsp mailing list and website: > subscription info, FAQ, source code archive, list archive, book reviews, dsp > links > http://music.columbia.edu/cmc/music-dsp > http://music.columbia.edu/mailman/listinfo/music-dsp -- dupswapdrop -- the music-dsp mailing list and website: subscription info, FAQ, source code archive, list archive, book reviews, dsp links http://music.columbia.edu/cmc/music-dsp http://music.columbia.edu/mailman/listinfo/music-dsp
