🎙️ Open-Source Text-to-Speech Model Gallery
🔬 Our Exciting Quest
We’re on a mission to help developers quickly find and compare the best open-source TTS models for their audio projects. In this gallery, you’ll find 12 state-of-the-art TTS models, each evaluated using a consistent test prompt to assess their synthesized speech.
Featured TTS Models:
- 🎭 Dia-1.6B - Expressive conversational voice
- 🎪 Kokoro-82M - Lightweight powerhouse
- 🎨 F5-TTS - Advanced flow-based synthesis
- 🎵 XTTS-v2 - Multi-lingual excellence
- 🎼 MaskGCT - Masked generative modeling
- 🎤 Llasa-3B - Large-scale audio synthesis
- ...and 6 more incredible models!
🔑 Key Findings
- Outstanding Speech Quality
Several models—namely Kokoro-82M, csm-1b, Spark-TTS-0.5B, Orpheus-3b-0.1-ft, F5-TTS, and Llasa-3B delivered exceptionally natural, clear, and realistic synthesized speech. Among these, csm-1b and F5-TTS stood out as the most well-rounded model as they combined good synthesized speech with solid controllability. - Superior Controllability
Zonos-v0.1-transformer emerged as the best in fine-grained control: it offers detailed adjustments for prosody, emotion, and audio quality, making it ideal for use cases that demand precise voice modulation. - Performance vs. Footprint Trade-off
Smaller models (e.g., Kokoro-82M at 82 million parameters) can still excel in many scenarios, especially when efficient inference or low VRAM usage is critical. Larger models (1 billion–3 billion+ parameters) generally offer more versatility—handling multilingual synthesis, zero-shot voice cloning, and multi-speaker generation but require heavier compute resources. - Special Notes on Multilingual & Cloning Capabilities
Spark-TTS-0.5B and XTTS-v2 excel at cross-lingual and zero-shot voice cloning, making them strong candidates for projects that need multi-language support or short-clip cloning. Llama-OuteTTS-1.0-1B and MegaTTS3 also offer multilingual input handling, though they may require careful sampling parameter tuning to achieve optimal results.