shennong-1.0

shennong-1.0

breaking changes

• Deletion of processor.rastaplp.RastaPlpProcessor. Rasta filtering is now an
  option of the standard PlpProcessor, so as to use both Rasta and VTLN.

• Pitch, delta and CMVN are now deactivated by default in pipeline configuration
  generation (concerns both speech-features binary and the shennong.pipeline
  module).

• Features serialization in JSON is no more supported (replaced by CSV)

• Code reorganization (renamed shennong.features.* to shennong.*, new
  shennong.logger, import processors directly from
  shennong.processor, renamed PitchProcessor to KaldiPitchProcessor,
  etc...)

• When defining utterances for use with a pipeline, the format <audio-file>
  is no more supported, it must be superseeded by <utterance-id> <audio-file>.

• processor.process_all() now takes a shennong.Utterances instead of a
  dict(name, audio).

new models

• Vocal Tract Length Normalization (VTLN) implemented using Kaldi:
  shennong.processor.vtln.

• CREPE pitch extraction: shennong.processor.pitch_crepe.

improvments

• new shennong.Utterances class to encapsulate and manage utterances to be
  feeded to a pipeline.

• shennong.Audio can now read/write more than wav files: flac, mp3, etc...
  (anything supported by pydub/ffmpeg).

• Optionnally ignore features properties when saving them.

• New example code in examples.