FireRedTeam/FireRedTTS2

Health v2 · maintenance only

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1428 stars · 128 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

FireRedTTS-2 is a long-form streaming text-to-speech system for multi-speaker dialogue generation, built in PyTorch with a dual-transformer architecture on a 12.5Hz streaming speech tokenizer. It supports zero-shot voice cloning, multilingual synthesis, and low first-packet latency (~140ms on an L20 GPU).

Use cases

• generate podcast audio with multiple speakers from a script
• build a chatbot with natural streaming voice responses
• clone a voice with zero-shot samples for cross-lingual speech
• create synthetic ASR training data with random timbres
• generate long multi-speaker dialogues in Chinese, English, Japanese, Korean, French, German, or Russian

When to choose

• you need low-latency streaming TTS for conversational agents or chatbots
• you want multi-speaker dialogue generation with stable speaker switching
• you need zero-shot voice cloning across multiple languages
• you want to synthesize long-form podcast-style audio

When to avoid

• you need a lightweight CPU-only TTS for embedded devices
• you only need simple single-phrase TTS without conversational context
• you require non-PyTorch deployment runtimes like ONNX or TensorRT out of the box

Facets

library · maturity active

tts speech-recognition machine-learning llm-inference speech-processing artificial-intelligence python voice-cloning podcast-generation streaming-tts multi-speaker-dialogue zero-shot-voice-cloning pytorch audio natural-language-processing gpu linux

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markdown · JSON · MCP: product_card(name="FireRedTeam/FireRedTTS2")