# Chatterbox: State-of-the-Art Open-Source Text-to-Speech by Resemble AI This repository profile is provided by osrepos.com, an open source repository discovery platform. Source: osrepos.com Repository profile: https://osrepos.com/repo/resemble-ai-chatterbox Generated for open source discovery and AI-assisted research. Chatterbox is a powerful family of open-source text-to-speech (TTS) models developed by Resemble AI, designed for high-quality speech generation. It features Chatterbox-Turbo, an efficient model with paralinguistic tags for added realism, alongside multilingual and general-purpose TTS options. These models provide robust solutions for voice agents, narration, and creative workflows, incorporating responsible AI features like built-in watermarking. GitHub: https://github.com/resemble-ai/chatterbox OSRepos URL: https://osrepos.com/repo/resemble-ai-chatterbox ## Summary Chatterbox is a powerful family of open-source text-to-speech (TTS) models developed by Resemble AI, designed for high-quality speech generation. It features Chatterbox-Turbo, an efficient model with paralinguistic tags for added realism, alongside multilingual and general-purpose TTS options. These models provide robust solutions for voice agents, narration, and creative workflows, incorporating responsible AI features like built-in watermarking. ## Topics - Python - Text-to-Speech - TTS - AI - Machine Learning - Open Source - Speech Synthesis - Voice Cloning ## Repository Information Last analyzed by OSRepos: Sun Apr 19 2026 13:56:33 GMT+0100 (Western European Summer Time) Detail views: 8 GitHub clicks: 8 ## Safety Notice OSRepos shares public repositories for knowledge and discovery only. Review source code, dependencies, licenses, and security implications before running or installing anything. ## Content ## Introduction Chatterbox is a collection of state-of-the-art, open-source text-to-speech (TTS) models developed by Resemble AI. This family of models offers high-fidelity speech generation, catering to various applications from real-time voice agents to creative content creation. The latest addition, **Chatterbox-Turbo**, stands out as Resemble AI's most efficient model to date. Built on a streamlined 350M parameter architecture, Turbo delivers high-quality speech with significantly less compute and VRAM compared to its predecessors. A key innovation is the distillation of the speech-token-to-mel decoder, reducing generation from 10 steps to just one, while maintaining exceptional audio fidelity. Chatterbox-Turbo also natively supports paralinguistic tags, allowing users to integrate realistic elements like `[cough]`, `[laugh]`, and `[chuckle]` into generated speech. While optimized for low-latency voice agents, Turbo also excels in narration and diverse creative workflows. The Chatterbox family also includes a Multilingual model supporting over 23 languages for global applications and localization, and the original Chatterbox model offering creative controls like CFG and exaggeration tuning. ## Installation You can easily install Chatterbox using pip: shell pip install chatterbox-tts Alternatively, you can install from source for more control: shell # conda create -yn chatterbox python=3.11 # conda activate chatterbox git clone https://github.com/resemble-ai/chatterbox.git cd chatterbox pip install -e . Chatterbox was developed and tested on Python 3.11 on Debian 11 OS, with dependencies pinned for consistency. ## Examples Here are examples demonstrating how to use the Chatterbox models for speech generation. ### Chatterbox-Turbo python import torchaudio as ta import torch from chatterbox.tts_turbo import ChatterboxTurboTTS # Load the Turbo model model = ChatterboxTurboTTS.from_pretrained(device="cuda") # Generate with Paralinguistic Tags text = "Hi there, Sarah here from MochaFone calling you back [chuckle], have you got one minute to chat about the billing issue?" # Generate audio (requires a reference clip for voice cloning) wav = model.generate(text, audio_prompt_path="your_10s_ref_clip.wav") ta.save("test-turbo.wav", wav, model.sr) ### Chatterbox and Chatterbox-Multilingual python import torchaudio as ta from chatterbox.tts import ChatterboxTTS from chatterbox.mtl_tts import ChatterboxMultilingualTTS # English example model = ChatterboxTTS.from_pretrained(device="cuda") text = "Ezreal and Jinx teamed up with Ahri, Yasuo, and Teemo to take down the enemy's Nexus in an epic late-game pentakill." wav = model.generate(text) ta.save("test-english.wav", wav, model.sr) # Multilingual examples multilingual_model = ChatterboxMultilingualTTS.from_pretrained(device=device) french_text = "Bonjour, comment ça va? Ceci est le modèle de synthèse vocale multilingue Chatterbox, il prend en charge 23 langues." wav_french = multilingual_model.generate(french_text, language_id="fr") ta.save("test-french.wav", wav_french, model.sr) chinese_text = "???????????????????????" wav_chinese = multilingual_model.generate(chinese_text, language_id="zh") ta.save("test-chinese.wav", wav_chinese, model.sr) # If you want to synthesize with a different voice, specify the audio prompt AUDIO_PROMPT_PATH = "YOUR_FILE.wav" wav = model.generate(text, audio_prompt_path=AUDIO_PROMPT_PATH) ta.save("test-2.wav", wav, model.sr) ## Why Use Chatterbox? Chatterbox offers a compelling solution for text-to-speech needs due to several key advantages: * **State-of-the-Art Performance:** Delivers high-quality, natural-sounding speech across its model family. * **Exceptional Efficiency:** Chatterbox-Turbo provides significant performance gains, reducing compute and VRAM requirements while speeding up generation to a single step. * **Realistic Paralinguistic Tags:** Enhance expressiveness and realism in generated audio with built-in tags like laughs and chuckles. * **Broad Multilingual Support:** The Multilingual model supports over 23 languages, making it suitable for global applications and diverse content. * **Voice Cloning Capabilities:** Easily generate speech in different voices by providing an audio prompt. * **Responsible AI:** Integrates Resemble AI's PerTh (Perceptual Threshold) Watermarker, embedding imperceptible neural watermarks for ethical AI use. * **Active Community:** Join the official Discord for support and collaboration. ## Links * **GitHub Repository:** [https://github.com/resemble-ai/chatterbox](https://github.com/resemble-ai/chatterbox) * **Chatterbox-Turbo Demo Samples:** [https://resemble-ai.github.io/chatterbox_turbo_demopage/](https://resemble-ai.github.io/chatterbox_turbo_demopage/) * **Chatterbox-Turbo Hugging Face Space:** [https://huggingface.co/spaces/ResembleAI/chatterbox-turbo-demo](https://huggingface.co/spaces/ResembleAI/chatterbox-turbo-demo) * **Official Discord:** [https://discord.gg/rJq9cRJBJ6](https://discord.gg/rJq9cRJBJ6) * **Resemble AI (for commercial scaling/tuning):** [https://resemble.ai](https://resemble.ai)