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Update README.md
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README.md
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- all mp3 files postprocessing using https://malaya-speech.readthedocs.io/en/latest/load-noise-reduction.html and https://malaya-speech.readthedocs.io/en/latest/load-speech-enhancement.html
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- `wav_data` is directory of the audio, prune the path to proper extracted directory.
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- `asr_model` is predicted using the best model that we have, `conformer-medium`, returned `(text, probability, subwords)
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- `classification_model` is predicted using NEMO TITANET Large speaker verification model, https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/titanet_large, with streaming speaker similarity, https://malaya-speech.readthedocs.io/en/latest/huggingface-repository.html
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3. Group by similar speakers using pagerank method (scipy.sparse.linalg.gmres),
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- all mp3 files postprocessing using https://malaya-speech.readthedocs.io/en/latest/load-noise-reduction.html and https://malaya-speech.readthedocs.io/en/latest/load-speech-enhancement.html
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- `wav_data` is directory of the audio, prune the path to proper extracted directory.
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- `asr_model` is predicted using the best model that we have, `conformer-medium`, returned `(text, probability, subwords)`, https://malaya-speech.readthedocs.io/en/latest/load-stt-transducer-model-pt.html
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- `classification_model` is predicted using NEMO TITANET Large speaker verification model, https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/titanet_large, with streaming speaker similarity, https://malaya-speech.readthedocs.io/en/latest/huggingface-repository.html
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3. Group by similar speakers using pagerank method (scipy.sparse.linalg.gmres),
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