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- ---
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- license: mpl-2.0
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- ---
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-
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- This repository contains released Mozilla SpeakerEncoder models.
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-
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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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-
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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).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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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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+
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+ This repository contains released Mozilla SpeakerEncoder models.
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+
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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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+
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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).