Nari Qwen3-TTS and Qwen3-ASR

AI

speech models

SHOW HN2026

92points
31comments
#742of 4,366 in 2026
Top 17%of 2026 by points

How HN took it

DebatedReal support and real criticism

5 positive, 4 neutral or asking, 0 mixed, 7 critical, out of 16 comments about the project. Thread score -0.10.

Performance: 2 for, 1 againstExecution: 0 for, 2 againstPricing: 0 for, 2 againstIdea: 1 for, 0 againstDocs: 0 for, 1 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Impressive open-source speech performance and cost

    From 2 comments
    • This is awesome. Thanks for pushing the audio pareto frontier forward. Probably far fetched for now, but I think the next big evolution is building the pareto/much cheaper…
      karimf on HN
    • https://apimade.com/audio-compare.html Added it to my blind TTS model comparison leaderboard. So far Darwin TTS is the open model leading the pack, ElevenLabs is at the lead.
      apimade on HN

Objections

  • Voice switches or speed issues in generated audio

    From 2 comments
    • For some reason it switched voices half way through a 33 second clip. For OP the clip name is nari-nina-01a0a12f-980a-765e-8029-fa56bd23210d.wav
      rahimnathwani on HN
    • All TTS generations are too fast. It's almost I'm listening to a podcast on 1.25-1.5x speed.
      konart on HN
  • Claims need independent evaluation

    From 1 comment
    • You definitely need independent evals by Datapoint AI or someone who can verify your claims about TTS quality
      yoloakki on HN
  • Market is crowded and changing fast

    From 2 comments
    • Question: How do you plan to differentiate, because there are so many TTS and its constantly changing every month who would become better
      recentlypostedj on HN
    • 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
      iharnoor on HN

Requests

  • Demos and independent benchmarks

    From 2 comments
    • If you're going to announce a TTS model, service, or whatever, you really need demos.
      ipsum2 on HN
    • You definitely need independent evals by Datapoint AI or someone who can verify your claims about TTS quality
      yoloakki on HN
  • Open-source Qwen3-ASR inference engine

    From 2 comments
    • > and Qwen3-ASR Is the ASR inference engine open source as well?
      meatmanek on HN
    • 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.…
      meatmanek on HN

Questions

  • How will Nari differentiate in a crowded TTS market

    From 1 comment
    • Question: How do you plan to differentiate, because there are so many TTS and its constantly changing every month who would become better
      recentlypostedj on HN

Alternatives named

  • ElevenLabs

    From 1 comment
    • https://apimade.com/audio-compare.html Added it to my blind TTS model comparison leaderboard. So far Darwin TTS is the open model leading the pack, ElevenLabs is at the lead.
      apimade on HN
  • Darwin TTS

    From 2 comments
    • https://apimade.com/audio-compare.html Added it to my blind TTS model comparison leaderboard. So far Darwin TTS is the open model leading the pack, ElevenLabs is at the lead.
      apimade on HN
    • Darwin TTS is based on Qwen3-TTS https://huggingface.co/zeropointnine/Darwin-TTS-1.7B-Cross-Qwen3Tokenizer
      apimade on HN
  • NVIDIA PersonaPlex

    From 1 comment
    • agreed. we've been doing some work around NVIDIA personaplex 7b, but its quality is quite far from GPT-Live-1, esp in terms of intelligence. Once a good OSS model is out, we'll…
      toebee on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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