TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction.

Related tags

Deep Learning text-to-speech speech pytorch tts speech-synthesis
Overview

TalkNet 2 [WIP]

TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction.


Official TalkNet 2 repo here

Citation

@misc{beliaev2021talknet,
      title={TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model Stanislav Beliaev, Boris Ginsburgfor Speech Synthesis with Explicit Pitch and Duration Prediction}, 
      author={Stanislav Beliaev and Boris Ginsburg},
      year={2021},
      eprint={2104.08189},
      archivePrefix={arXiv},
      primaryClass={eess.AS}
}
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Comments
  • Synthesized speech to fast

    Synthesized speech to fast

    Hi there, I must say I’m impressed by the results Talknet is able to achieve with relatively short training. I have been playing around with it but keep running into a problem. The synthesized voice speaks very fast. Way faster than the input training data.

    Is this something you have encountered as well? Do you know of any tricks that might help counter this issue?

    opened by Saartjes 1
  • TalkNet2 original code

    TalkNet2 original code

    Hello!

    You can find original code for TalkNet2 here: https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/tts/models/talknet.py Also take a look here: https://github.com/NVIDIA/NeMo/blob/main/tutorials/tts/3_TTS_TalkNet_Training.ipynb

    Just for simplify re-implementation :)

    opened by Oktai15 4
Owner
Rishikesh (ऋषिकेश)
Deep Learning/ AI Researcher | Open Source enthusiast | Text to Speech | Speech Synthesis | Generative Models | Object detection | Language Understanding
Rishikesh (ऋषिकेश)
GitHub
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