By next month the competition for TTS will be even more!
Voice models are not winner take all market unlike LLM APIs
Coming here as Developer Relations at AssemblyAI
Show HN: Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost
11–20 of 37 posts
Re: Show HN: Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost
#12> and Qwen3-ASR Is the ASR inference engine open source as well?
Yes, and it is very good one. Leading position on private leaderboard on HF: https://huggingface.co/spaces/hf-audio/open_asr_leaderboard
Re: Show HN: Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost
#13> and Qwen3-ASR Is the ASR inference engine open source as well?
They have a number of demos and examples in their HF space
https://huggingface.co/Qwen/spaces
I saw a local-ai demo (something + gemma), where the person used ASR to get text and gemma to clean it up (like turning "question mark" into a literal "?", bullet points another one). The presenter also showed a gemma only option, that did both in one go, but had a higher WER on average, and even though the formatting statements were handled without a multi-stage pipeline, they preferred the multi-stage overall
Re: Show HN: Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost
#14All TTS generations are too fast. It's almost I'm listening to a podcast on 1.25-1.5x speed.
Re: Show HN: Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost
#15[flagged]
Re: Show HN: Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost
#16> and Qwen3-ASR Is the ASR inference engine open source as well?
Yes, and it is very good one. Leading position on private leaderboard on HF: https://huggingface.co/spaces/hf-audio/open_asr_leaderboard
I meant the Nari inference engine for Qwen3-ASR. I'm aware that Qwen3-ASR is open source, but I don't see a repo under https://github.com/nari-labs for nari-qwen3-asr or similar.
The Huggingface link on https://narilabs.com/product/stt/ links to https://huggingface.co/Qwen/Qwen3-ASR-1.7B , not anything under https://huggingface.co/nari-labs
Re: Show HN: Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost
#17If you're going to announce a TTS model, service, or whatever, you really need demos.
hey sorry about that, you can here a few of our voices here: https://narilabs.com/product/qwen3-tts/
Re: Show HN: Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost
#18All TTS generations are too fast. It's almost I'm listening to a podcast on 1.25-1.5x speed.
thanks for the feedback! will investigate and get it fixed
Re: Show HN: Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost
#19This is really cool work! I'm curious like what do you see as the biggest lever for speeding up TTS models or from a technical perspective that this was a promising direction in the first place to push on. If I were to guess, some distillation but I'm certain there are probably TTS model aware architectural changes that just make inference wayyyy faster?
thanks for the interest! we have a blog post on exactly how we did it: https://narilabs.com/blog/qwen3-tts-speed-cost-frontier/
Re: Show HN: Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost
#20Cool, I’ve released something to the same beat of the dr this weekend as well https://github.com/loudreader/loudkit I think real time natural tts should be possible everywhere soon
very cool. will try for local use!