ChatTTS vs Noise Eraser

ChatTTS is an open-source text-to-speech model built for dialogue. The 2Noise team trained it on over 100,000 hours of Chinese and English speech so it sounds natural in back-and-forth conversation, not just scripted narration.

What sets it apart is prosody control at a granular level. The model can layer in laughter, pauses, and interjections, and it handles multiple speakers in a single session. That makes it a fit for LLM assistants, conversational audio, and dialogue-heavy multimedia.

Developers install it via pip or clone the GitHub repo. The open-source release on Hugging Face is a 40,000-hour base model under AGPLv3+. The team positions it for research and dialogue use cases, with contact at [email protected] for roadmap questions.

Noise Eraser pulls apart vocals, wind, traffic, music, and air conditioning noise so you can keep the sounds you want and drop the rest. Upload an audio or video file, pick a separation target, and fine-tune the mix with sliders. DeepWave offers it as a browser studio and a mobile app for creators who need cleaner speech without rebuilding the track in a full DAW.

Most denoisers apply one blanket filter across the whole clip. Noise Eraser splits individual sound types so you can keep the voice while dropping wind, or mute traffic without touching the music bed. The free tier handles vocal separation only; paid plans unlock up to five separation models with stereo output on Pro+.

Podcasters, vloggers, and social media editors use it to salvage clips recorded outdoors, in cars, or near HVAC units. The mobile app supports full video files end to end, which matters when you are fixing audio straight from a phone recording rather than exporting stems first.