myshell-ai/OpenVoiceGitHub
calls FireRedTTS “choose for an LLM-empowered TTS with recent updates and MPL-2.0 license.”
Instant voice cloning by MIT and MyShell. Audio foundation model.
37.2kPythonslowing
FireRedTeam/FireRedTTS Alternatives
FireRedTTS is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
Listed as an alternative to
These projects were analysed and named FireRedTTS among their alternatives. The relationship is not symmetric — how FireRedTTS rates them is a separate judgement, made when FireRedTTS is analysed in its own right.
QwenLM/Qwen3-TTSGitHub
calls FireRedTTS “Choose when you want an LLM-empowered TTS with MPL-2.0 licensing.”
Qwen3-TTS is an open-source series of TTS models developed by the Qwen team at Alibaba Cloud, supporting stable, expressive, and streaming speech generation, free-form voice design, and vivid voice cloning.
13.5kPythonslowing
k2-fsa/OmniVoiceGitHub
calls FireRedTTS “Use for LLM-empowered zero-shot TTS under MPL-2.0 with strong expressiveness.”
High-Quality Voice Cloning TTS for 600+ Languages
9.3kPythonactive
Zyphra/ZonosGitHub
calls FireRedTTS “choose over Zonos if you want an LLM-empowered foundation TTS under MPL-2.0; similar TTS capability with different legal/license obligations.”
Zonos-v0.1 is a leading open-weight text-to-speech model trained on more than 200k hours of varied multilingual speech, delivering expressiveness and quality on par with—or even surpassing—top TTS providers.
7.2kPythondormant
SparkAudio/Spark-TTSGitHub
calls FireRedTTS “choose for an alternative LLM-based TTS design with its own training pipeline.”
Spark-TTS Inference Code
11.0kPythonslowing
jasonppy/VoiceCraftGitHub
calls FireRedTTS “choose for an LLM-empowered foundation TTS, if editing is not a priority.”
Zero-Shot Speech Editing and Text-to-Speech in the Wild
8.6kJupyter Notebookactive
stepfun-ai/Step-Audio-EditXGitHub
calls FireRedTTS “Choose for another LLM-empowered TTS foundation stack if you do not need audio editing.”
A powerful 3B-parameter, LLM-based Reinforcement Learning audio edit model excels at editing emotion, speaking style, and paralinguistics, and features robust zero-shot text-to-speech
977Pythonactive