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ChangeLog

Version numbers follow semantic versioning.

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.

shennong-0.1.1

bugfixes

  • correctly load utterances from a file in speech-features (ignore empty lines)

  • fixed a harmless warning when resampling audio with sox

environment

  • now compatible with (and depends on) pytest>=5.0

  • improved installation instructions for MacOS

  • new releases are automatically deployed on conda

shennong-0.1

First public release