MOSS-TTSD 🪐
Overview
MOSS-TTSD (text to spoken dialogue) is an open-source bilingual spoken dialogue synthesis model that supports both Chinese and English. It can transform dialogue scripts between two speakers into natural, expressive conversational speech. MOSS-TTSD supports voice cloning and single-session speech generation of up to 960 seconds, making it ideal for AI podcast production.
Highlights
- Highly Expressive Dialogue Speech: Built on unified semantic-acoustic neural audio codec, a pre-trained large language model, millions of hours of TTS data, and 400k hours synthetic and real conversational speech, MOSS-TTSD generates highly expressive, human-like dialogue speech with natural conversational prosody.
- Two-Speaker Voice Cloning: MOSS-TTSD supports zero-shot two speakers voice cloning and can generate conversational speech with accurate speaker swithcing based on dialogue scripts.
- Chinese-English Bilingual Support: MOSS-TTSD enables highly expressive speech generation in both Chinese and English.
- Long-Form Speech Generation (up to 960 seconds): Thanks to low-bitrate codec and training framework optimization, MOSS-TTSD has been trained for long speech generation, enabling single-session speech generation of up to 960 seconds.
- Fully Open Source & Commercial-Ready: MOSS-TTSD and its future updates will be fully open-source and support free commercial use.