GitLab

* compute deltas.
* multichannel, and random test.
* documentation.
* feedback. changing name of window to win_length.
* passing padding mode.

* Add basic low pass filtering
* Add highpass filtering
* More tests of IIR vs FIR
* Implement convolve function, add tests
* Move lfilter and convolve into functional, more tests
* added additional documentation for convolve and lfilter, renamed functional_filtering to functional_sox_convenience
* Follow naming convention for sample rate in functional
* fix failing vctk manifest test to account for adding more test audios into assets
* Adding documentation for lfilter, biquad, highpass_biquad, lowpass_biquad
* added matrix based implementation of lfilter
* adding python lfilter implementation
* factor out biquad, lowpass, highpass to sox compatibility

- Apply __future__ imports uniformly (future division is the biggy, but absolute
  imports mattered too)
- Hotfix use of tempfile.TemporaryDirectory using a BC library (DO NOT
  add this library as a dependency to torchaudio; it's only for testing)
- Replace math.gcd with fractions.gcd
- Fix a weird pytest collection bug involving parametrized tests
- Turn on Python 2 and Python 3.7 in Travis.
Signed-off-by: Edward Z. Yang <ezyang@fb.com>

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

This makes it easier to test against an installed wheel, as the
torchaudio folder is no longer preferentially picked up when
you run a test module.

I had to move all tests in subfolders into the top level test
directory to make this work, since you can't access .. modules
without mucking around with sys.path (which I don't want to do.)

NB: this BREAKS the syntax where you can run a test by
saying `python -m test.test`.  Instead, do `python test/test.py`
or use the pytest runner.
Signed-off-by: Edward Z. Yang <ezyang@fb.com>

Add Kaldi IO as a dependency + put  a wrapper to convert to Tensor + add test to check correct type (#111)

* saving commit

* more fixes

* Update test.py

* flake8 style, tests moved

* typo

* DCT now a method of MFCC class. Changed DCT impelementation to @dhpollack suggestion"

* changes to address pr comments

* ordering

* fix dct docstring

* fix dct docstring

* DCT matrix needs to go on same device

* DCT matrix needs to go on same device

* log mfcc option

Rename classes in line with PyTorch standards. Remove redundent slow librosa-based `MEL`. Add missing docstring params. (#78)

* Bug fix: Use correct device for MEL2 functions so MEL2 works on CUDA tensors

* Rename classes in line with PyTorch standards. Remove redundent
slow librosa-based `MEL`. Add missing docstring params.

* fix param names