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SPEECHT5
Unified speech-text transformer for ASR, TTS, and translation
MIT
ABOUT
Speech teams often train separate models for recognition, synthesis, translation, and speaker ID. SpeechT5 pretrains a single encoder-decoder on speech and text so you can fine-tune one architecture for ASR, TTS, voice conversion, enhancement, and identification instead of maintaining a stack of unrelated networks.
INTEGRATION GUIDE
1. Fine-tune SpeechT5 for text-to-speech with speaker embeddings on Hugging Face
2. Run automatic speech recognition from a shared speech-text pretrained checkpoint
3. Convert one speaker's voice to another with the voice-conversion head
4. Research unified speech-text pretraining for translation and enhancement
TAGS
speechttsasrvoice-conversiontransformerhuggingfacemicrosoftopen-source