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Releases: sp-nitech/diffsptk

diffsptk version 1.0.0

23 Jul 16:02
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What's Changed

Major Breaking Changes

  • cascade parameter in MLSA has been changed to mode parameter
  • Minimal PyTorch version has been changed to 1.11.0

diffsptk version 0.6.0

28 Feb 02:23
24f4969
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What's Changed

diffsptk version 0.5.0

22 Nov 08:23
07d25b2
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Fifth release

Additional implemented modules are:

  • cqt
  • entropy
  • excite
  • imglsadf
  • mglsadf
  • train

The recursive computation used in c2mpir, mpir2c, mgc2mgc, and mgc2sp has been changed to the FFT-based one for parallel processing.

diffsptk version 0.4.0

01 Jul 11:55
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Fourth release

Additional implemented modules are:

  • delay
  • lar2par
  • mgcep (updated from mcep)
  • par2lar
  • pca
  • pitch
  • smcep
  • sopr

Note pca requires PyTorch 1.10+. Currently, only 16 kHz is supported in pitch. MLSA filter will be implemented in the next release.

diffsptk version 0.3.0

28 Apr 09:55
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Third release

Some minor bugs were fixed by introducing a coverage test.

Additional implemented modules are:

  • df2
  • dfs
  • grpdelay
  • lpccheck
  • mcpf
  • mpir2c
  • phase

The default floor values of fbank and mfcc were changed.

diffsptk version 0.2.0

09 Apr 19:06
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Second release

Additional implemented modules are:

  • c2ndps
  • delta
  • dequantize
  • gnorm
  • ignorm
  • lpc2par
  • mgc2mgc
  • mgc2sp
  • mlpg
  • ndps2c
  • norm0
  • par2lpc
  • quantize
  • rmse
  • snr
  • zcross

Currently, mlpg assumes a global diagonal unit variance. Note that zcross cannot compute gradient.

diffsptk version 0.1.0

24 Mar 14:44
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Initial release

Implemented modules are:

  • acorr
  • b2mc
  • c2mpir
  • cdist
  • dct
  • decimate
  • fbank
  • fftcep
  • frame
  • freqt
  • idct
  • interpolate
  • ipqmf
  • iulaw
  • levdur
  • linear_intpl
  • lpc
  • mc2b
  • mfcc
  • mcep
  • pqmf
  • spec
  • stft
  • ulaw
  • window
  • zerodf

Currently, levdur and mcep solve their linear system by naive matrix inversion.