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@@ -1,6 +1,6 @@
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# UnitY2 forced alignment extractor
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-Please refer to Section 3.3.2 of the paper to read more details about aligner design & training.
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+Please refer to Section 3.3.2 of the "Seamless: Multilingual Expressive and Streaming Speech Translation" paper to read more details about aligner design & training.
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We provide a light-weight wrapper to extract alignments between given text and acoustic unit sequences. Unit extractor is also available from the wrapper itself.
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@@ -60,7 +60,7 @@ En audio example:
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* en_transcription: `the examination and testimony of the experts enabled the commision to conclude that five shots may have been fired.`
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```python
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-alignment_durations, _, tokenized_text_tokens = extractor.extract_alignment("LJ037-0171_sr16k.wav", ru_transcription, plot=True, add_trailing_silence=False)
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+alignment_durations, _, tokenized_text_tokens = extractor.extract_alignment("LJ037-0171_sr16k.wav", en_transcription, plot=True, add_trailing_silence=False)
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```
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* here we set `add_trailing_silence` to False since terminal punctuation exists, but True will also work
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@@ -73,4 +73,4 @@ If you encounter issues with produced alignments, please run integration test wi
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Run from the repo root:
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-`pytest -vv tests/integration/models/test_unity2_aligner.py`
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+`pytest -vv tests/integration/models/test_unity2_aligner.py`
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Ilia Kulikov