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Tacotron2 LJSpeech
Model
NVIDIA
Tacotron2 LJSpeech

Model checkpoints for the Tacotron 2 model trained with NeMo.

  • Overview

    This is a checkpoint for the Tacotron 2 model that was trained in NeMo on LJspeech for 1200 epochs. It was trained with Apex/Amp optimization level O0, with 8 * 16GB V100, and with a batch size of 48 per GPU for a total batch size of 384.

    It contains the checkpoints for the Tacotron 2 Neural Modules and the yaml config file:

    • TextEmbedding.pt
    • Tacotron2Encoder.pt
    • Tacotron2Decoder.pt
    • Tacotron2Postnet.pt
    • tacotron2.yaml

    Documentation

    Refer to documentation at https://github.com/NVIDIA/NeMo

    Usage example: Put the checkpoints into the checkpoint dir, and run tts_infer.py (from NeMo's TTS examples).

    python tts_infer.py --model_config=$checkpoint_dir/tacotron2.yaml --eval_dataset=test.json --load_dir=$checkpoint_dir

    Publisher
    NVIDIA
    Latest Version2
    UpdatedApril 4, 2023 UTC
    Compressed Size107.44 MB

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