[TTS] MagpieTTS: Implement Frechet Codec Distance metric + some minor inference bugfixes #15223
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nemo/collections/tts/modules/magpietts_inference/evaluate_generated_audio.py
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Signed-off-by: Fejgin, Roy <[email protected]>
Instead of taking a codec instance, accept a codec name: local path or HF/NGC name. This simplifies the metric's integration in calling code. Signed-off-by: Fejgin, Roy <[email protected]>
Signed-off-by: Fejgin, Roy <[email protected]>
Signed-off-by: Fejgin, Roy <[email protected]>
* address some CI linting issues * include a file that was missed in last commit Signed-off-by: Fejgin, Roy <[email protected]>
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Signed-off-by: Fejgin, Roy <[email protected]>
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What does this PR do ?
Adds the Frechet Codec Distance metric and integrates it in MagpieTTS inference scripts. Also fixes some minor MagpieTTS inference bugs.
Collection: TTS
Changelog
The Frechet Distance (FD) is commonly used to evaluate generative models (e.g. Frechet Inception Distance, Frechet Audio Distance). In this PR we implements FD in the embedding space of a neural codec. This is a metric that measures how closely the distributions of real and generated codec frames match, at the single frame level.
Changes:
frechet_codec_distance.py: An implementation of FD in codec embedding space. Builds on TorchMetrics' FID implementation. We provide the audio codec as a custom feature extractor.test_frechet_coec_distance.py: Unit test--disable_fcdcommand line argument tomagpietts_inference.pytitanet_smallspeaker representation model. This was present in earlier versions of the inference scripts and appears to have been accidentally lost in recent refactoringsPR Type: