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license: mpl-2.0 |
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datasets: |
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- CommonVoice |
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- LibriSpeech |
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- LibriTTS |
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- VCTK |
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- VoxCeleb |
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tags: |
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- speaker-encoding |
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- speaker-embedding |
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- speaker-verification |
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- speaker |
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- speech |
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library_name: PyTorch |
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--- |
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This repository contains released Mozilla SpeakerEncoder models. |
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Due to original codebase migration and SpeakerEncoder depracation, I decided to extract inference code into my own repository. For ease of integration, I also release relevant models: |
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- `model_mozilla_128.pth.tar` - which is [Speaker-Encoder-iter25k](https://drive.google.com/open?id=1CwXxwm0qKk2lcPL_4EQDirD8XMyvHIqR) that was trained on LibriSpeech, |
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- `model_mozilla_256.pth.tar` - which is [Speaker-Encoder](https://drive.google.com/drive/folders/15oeBYf6Qn1edONkVLXe82MzdIi3O_9m3?usp=sharing) by [@mueller91](https://github.com/mueller91) that was trained on LibriTTS, VCTK, VoxCeleb and CommonVoice. |
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Original SpeakerEncoder implementation is available [here](https://github.com/coqui-ai/TTS/tree/f9001a4bdd8a169da8b4eefd481461f370def8f9/TTS/speaker_encoder) and originally released models are available [here](https://github.com/mozilla/TTS/wiki/Released-Models). If you are interested in the current version of Coqui.ai TTS go [here](https://github.com/coqui-ai/TTS). |
