MOSS-TTSD: Bilingual Dialogue Speech Synthesis
Product Introduction
MOSS-TTSD is an advanced open-source model designed for bilingual (Chinese-English) dialogue speech synthesis. It transforms dialogue scripts into high-quality, expressive audio, making it ideal for podcast production and AI-driven conversational applications. The model leverages large-scale language and speech datasets to ensure naturalness and accuracy in generated speech.
Key Features
- Bilingual Support: Generates speech in both Chinese and English.
- Zero-Shot Voice Cloning: Accurately clones voices without prior training.
- Long-Duration Speech: Suitable for extended audio like podcasts.
- High Expressiveness: Delivers human-like conversational tones.
- Flexible Deployment: Supports local and API-based inference.
- Batch Processing: Handles multiple generation requests simultaneously.
- Podcast Tools: Converts long texts or web content into audio.
- Customization: Includes fine-tuning scripts for model adaptation.
Product Data
- Target Audience: Developers, content creators, and researchers in voice synthesis and podcasting.
- Use Cases: Podcasts, online education, entertainment applications.
- Technical Requirements: Python environment, JSONL input files, XY Tokenizer weights.
Product Link
For more details, visit MOSS-TTSD.
