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ASR TalkNet Aligner
Model
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ASR TalkNet Aligner

Text/Audio aligner based on QuartzNet 5x5 for durations extraction

  • Model Overview

    ASR-based text/audio aligner based on CTC-loss algorithm that was used to train TalkNet.

    Usage

    Automatically load the model from NGC

    from nemo.collections.asr.models import EncDecCTCModel
    model = EncDecCTCModel.from_pretrained("asr_talknet_aligner")
    

    For an example, on how to use this model to generate speech, refer to the TTS inference notebook.

    Training Set

    This model is trained on LibriTTS sampled at 22050Hz with input text converted to phonemes, and can be used to extract durations for audio excerpt and corresponding phonemes sequence.

    References

    [2] TalkNet 2 Paper

    Publisher
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    Latest Version1.0.0rc1
    UpdatedApril 4, 2023 UTC
    Compressed Size28.82 MB

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