SES Mobil Piper TTS Models

This repository contains Piper VITS text-to-speech voices packaged for sherpa-onnx mobile usage.

Files

Archive	Language	Voice	Gender	Quality	Flutter archiveRoot	Flutter modelFileName
`vits-piper-en_GB-jenny_dioco-medium.tar.bz2`	English	jenny_dioco	female	medium	`vits-piper-en_GB-jenny_dioco-medium`	`en_GB-jenny_dioco-medium.onnx`
`vits-piper-en_US-bryce-medium.tar.bz2`	English	bryce	male	medium	`vits-piper-en_US-bryce-medium`	`en_US-bryce-medium.onnx`
`vits-piper-fr_FR-siwis-medium.tar.bz2`	French	siwis	female	medium	`vits-piper-fr_FR-siwis-medium`	`fr_FR-siwis-medium.onnx`
`vits-piper-fr_FR-tom-medium.tar.bz2`	French	tom	male	medium	`vits-piper-fr_FR-tom-medium`	`fr_FR-tom-medium.onnx`
`vits-piper-tr_TR-fahrettin-medium.tar.bz2`	Turkish	fahrettin	male	medium	`vits-piper-tr_TR-fahrettin-medium`	`tr_TR-fahrettin-medium.onnx`
`vits-piper-tr_TR-youtube1-training_data_yeni.tar.bz2`	Turkish	youtube1	male	medium	`vits-piper-tr_TR-youtube1-training_data_yeni`	`tr_TR-youtube1-training_data_yeni.onnx`

Each archive contains:

vits-piper-.../
  *.onnx
  tokens.txt
  espeak-ng-data/

The ONNX files include sherpa-onnx metadata:

model_type: vits
comment: piper
has_espeak: 1
n_speakers: 1
sample_rate: 22050 or 44100

Use the Hugging Face direct download URL format:

https://huggingface.co/Muhammed-ai/TTS/resolve/main/<archive-name>.tar.bz2

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