FastSpeech2 and Expressive-FastSpeech2
The Expressive-FastSpeech2 implementation extends the base FastSpeech2 architecture with emotional and conversational capabilities, making them ecosystem siblings where one builds upon the foundational model of the other.
About FastSpeech2
rishikksh20/FastSpeech2
PyTorch Implementation of FastSpeech 2 : Fast and High-Quality End-to-End Text to Speech
This project helps creators and businesses generate natural-sounding spoken audio from written text. You provide text, and it produces high-quality audio files that mimic human speech, useful for voiceovers, audiobooks, or virtual assistants. It's designed for anyone needing to convert written content into lifelike spoken audio quickly.
About Expressive-FastSpeech2
keonlee9420/Expressive-FastSpeech2
PyTorch Implementation of Non-autoregressive Expressive (emotional, conversational) TTS based on FastSpeech2, supporting English, Korean, and your own languages.
This project helps create highly realistic, natural-sounding synthetic speech that conveys emotions or conversational tones. You provide text and, optionally, emotional or conversational cues, and it generates expressive audio speech. This is ideal for voice-over artists, content creators, or developers building AI assistants who need more than just robotic voices.
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