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Show HN: Sparrow-1 – Audio-native model for human-level turn-taking without ASR

tavus.io

21–30 of 50 posts

Re: Show HN: Sparrow-1 – Audio-native model for human-level turn-taking without ASR

#21
post #7

The first time I met Tavus, their engineers (incl Brian!) were perfectly willing to sit down and build their own better Infiniband to get more juice out of H100s. There is pretty much nobody working on latency and realtime at the level they are, Sparrow-1 would be an defining achievement for most startups but will just be one of dozens for Tavus :)

> perfectly willing

dreaming

Re: Show HN: Sparrow-1 – Audio-native model for human-level turn-taking without ASR

#22
post #9

I tried talking to Claude today. What a nightmare. It constantly interrupts you. I don’t mind if Claude wants to spend ten seconds thinking about its reply, but at least let ME finish my thought. Without decent turn-taking, the AI seems impolite and it’s just an icky experience. I hope tech like this gets widely distributed soon because there are so many situations in which I would love to talk with a model. If only…

Agreed. English is not my native language. And I do speak it well, it's just that sometimes I need a second to think mid-sentence. None of the live chat models out there handle this well. Claude just starts answering before I've even had the chance to finish a sentence.

English is my native language, and I still have this problem all the time with voice models.

Re: Show HN: Sparrow-1 – Audio-native model for human-level turn-taking without ASR

#24
Btw while I think this is cool and useful for real time voice interfaces for the general populace, I wonder if for professional users (eg a dev coding by dictating all day), a simple push to talk is not always going to be superior, because you can make long pauses while you think about something, this would creep out a human, but the AI would wait patiently for your push to talk.

Re: Show HN: Sparrow-1 – Audio-native model for human-level turn-taking without ASR

#25
post #24

Btw while I think this is cool and useful for real time voice interfaces for the general populace, I wonder if for professional users (eg a dev coding by dictating all day), a simple push to talk is not always going to be superior, because you can make long pauses while you think about something, this would creep out a human, but the AI would wait patiently for your push to talk.

As a dev myself, I see a couple of modes of operation: - push to talk - long form conversation - short form conversation

In both conversational approaches the AI can respond with simple acknowledgements. When prompted by the user the AI could go into longer discussions and explanations.

It might be nice for the AI to quickly confirm it hears me and for it to give me subtle queues that it’s listening: backchannels: “yeah”, and non-verbal: “mhmm”. So I can imagine having a developer assistant that feels more like working with another dev than working with a computer.

That being said, there is room for all modes, all at the same time, and at different times shifting between them. A lot of time I just don’t want to talk at all.

Re: Show HN: Sparrow-1 – Audio-native model for human-level turn-taking without ASR

#26
post #21
post #7

The first time I met Tavus, their engineers (incl Brian!) were perfectly willing to sit down and build their own better Infiniband to get more juice out of H100s. There is pretty much nobody working on latency and realtime at the level they are, Sparrow-1 would be an defining achievement for most startups but will just be one of dozens for Tavus :)

> perfectly willing dreaming

Maybe infiniband is a bit more than we can handle. That technology is incredible! You are right though, we have been willing to build things we needed that didn’t exist yet, or were not fast enough or natural enough. Sparrow-1, Raven-1, and Phoenix-4 are all examples that, and we have more on the way.

Re: Show HN: Sparrow-1 – Audio-native model for human-level turn-taking without ASR

#28

Awesome. We've been using Sparrow-0 in our platform since launch, and I'm excited to move to Sparrow-1 over the next few days. Our training and interview pre-screening products rely heavily on Tavus's AI avatars, and this upgrade (based on the video in your blog post) looks like it addresses some real pain points we've run into. Really nice work.

That’s great! I also built Sparrow-0, and Sparrow-1 was designed to address Sparrow-0’s shortcomings. 1 is a much better model, both in terms of responsiveness and patience.

Re: Show HN: Sparrow-1 – Audio-native model for human-level turn-taking without ASR

#29
post #9

I tried talking to Claude today. What a nightmare. It constantly interrupts you. I don’t mind if Claude wants to spend ten seconds thinking about its reply, but at least let ME finish my thought. Without decent turn-taking, the AI seems impolite and it’s just an icky experience. I hope tech like this gets widely distributed soon because there are so many situations in which I would love to talk with a model. If only…

I love Anthropic's models but their realtime voice is absolutely terrible. Every time I use it there is at least once that I curse at it for interrupting me.

My main use case for OpenAI/ChatGPT at this point is realtime voice chats.

OpenAI has done a pretty great job w/ realtime (their realtime API is pretty fantastic out of the box... not perfect, but pretty fantastic and dead simple setup). I can have what feels like a legitimate conversation with AI and it's downright magical feeling.

That said, the output is created by OpenAI models so it's... not my favorite.

I sometimes use ChatGPT realtime to think through/work through a problem/idea, have it create a detailed summary, then upload that summary to Claude to let 4.5 Opus rewrite/audit and come up with a better final output.

Re: Show HN: Sparrow-1 – Audio-native model for human-level turn-taking without ASR

#30

I am always skeptical of benchmarks that show perfect scores, especially when they come from the company selling the product. It feels like everyone claims to have solved conversational timing these days. I guess we will see if it is actually any good.

You should be skeptical, and try it out. I selected 28 long conversations for our evaluation set, all unseen audio. Every turn taking model makes tradeoffs, and I tried to make the best tradeoffs for each model by adjusting and tuning the implementations. I’m certainly not in a position as the creator of Sparrow to be totally objective. However we did use unaltered real conversational audio to evaluate. I tried to find examples that would challenge Sparrow-1 with lots of variation in speaker style across the conversations.
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