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Lucasoato 5 hours ago [-]
I’ve tested at least 20 STT models in a benchmark I’ve set up with German, Italian and English voices from meetings in my company.
The voices contained very industry specific words, the languages changed from one sentence to another, sometimes words in a language were mentioned while a discussion was in another.
The only local model that satisfies me is Voxtral Mini 3b, the only paid API that is slightly better is eleven labs. Yes, Voxtral might not reach the best score in the benchmarks, but to me, it just solves a problem. It might not be the best in terms of speed... but that’s not a problem for me.
Happy to test this new model from Google but I’m not sure I’d go with that instead of something that can run so easily in my machine.
crossroadsguy 51 minutes ago [-]
Do you use it on a desktop? Mac by any chance? What's your setup?
I've been looking to find a simple and fast dictation app for English but almost everything I've tried (from Handy to many apps, eg some with Whisper in their names, after the model I assume) just don't work well. Apple's offering is worse than those though. I even tried with local enhancement models.
hinnisdael 4 hours ago [-]
Agree about Voxtral being the only model — local or cloud — that handles multilingual conversation really well. I‘m not sure what they do differently, but mixed-language sentences and industry terms don‘t seem to faze it where other model begin to struggle.
kridsdale1 4 hours ago [-]
I use Parakeet 3. How does that fare in your testing?
Lucasoato 4 hours ago [-]
I love it but it misses the business specific words when in different language. Sometimes it stretches them out to fit unrelated words in the language of the rest of the conversation. I miss its speed though.
wahnfrieden 3 hours ago [-]
Try the recent MOSS one? It’s very good
cnxhk 4 hours ago [-]
Any possibility to share some of the eval audio?
Lucasoato 4 hours ago [-]
Of course not, but it’s easily replicable just by mixing different languages conversations together, adding a word here and there of some very specific German jargon.
ameliaquining 25 minutes ago [-]
"Function calling: The model can delegate complex tasks (such as image generation and file analysis) to other Gemini models via function calls. Currently available in the Gemini macOS app."
This confused the heck out of me because it makes it sound like the TTS model can make function calls in order to execute arbitrary tasks, which wouldn't make any sense. The developer docs (https://ai.google.dev/gemini-api/docs/models/gemini-3.5-tran...) confirm that the Gemini 3.5 Transcribe model cannot in fact make function calls. I guess the blog post is just using very confusing wording to describe how their consumer assistant/chatbot app can both take audio input via Gemini 3.5 Transcribe and then call other things as needed. Or maybe that bullet point was meant to be for a different model announcement and somebody made an editing error.
I've been testing it on Pixel 11 Pro and I mostly dislike it. It is convenient when you have something long to say without thinking about it first.
But the main issue is when you want to say something precise with specific wording it might "simplify" it and break the meaning.
Something like "I hesitated to check it, I should have verified" => "I should have verified" (The "I hesitated..." is removed but I said it because I wanted to let the person know that I thought about it earlier)
I tried the sentence few times and it always removed the first part.
It doesn't reach the frontier in either latency or accuracy for ai multilingual conversations.
Kokouane 7 minutes ago [-]
I'm confused, doesn't your leaderboard clearly show it is the most accurate model? It's number one in the leaderboard. Am I missing something?
adamgoodapp 20 minutes ago [-]
Thanks for this, really helpful.
I would also like to see benchmark for translation. I'm looking for live translated subtitles so my Japanese wife can enjoy any show with out waiting months for official VOD streams to release them.
zhivota 2 hours ago [-]
I'd certainly use Gemini API a lot more if I could figure out how to give them money and they give me tokens. The whole tier nonsense is just insane hoop jumping compared to their competition.
satvikpendem 49 minutes ago [-]
Still no real time diarization beyond 3 people (and even then experimental) when others do it very well, like Soniox and Deepgram. For something like meeting notes this is critical. Not sure what the issue is to implement it, maybe that's not Google's use case in mind and rather it's about personal Rambling as the feature on Pixels shows, which uses this model.
selcuka 45 minutes ago [-]
> maybe that's not Google's use case in mind
That would be interesting when they also own Google Meet.
blissofbeing 3 hours ago [-]
I've been using Wispr Flow on my pixel 9 and I like it. It does the things that Rambler says it's supposed to do but it's available on my Pixel 9 unlike rambler that's currently only available for pixel 11.
film42 6 hours ago [-]
Curious if this suffers from the same hallucination problems as Chirp or not. For example, if you pass chirp some audio with noise or even no audio, it will barf text at you like "I don't know. I don't know. I don't know." until a request timeout fires after like 10 minutes. It's... really bad. For this reason, we've moved back to Whisper for timestamp accuracy and then Gemini Flash for transcription correction.
sync 4 hours ago [-]
I eval'd this pretty heavily with no audio or just noise, as for us hallucinating a response is very bad. It works great in this scenario. There are some bugs, e.g. randomly exactly 20 seconds of silence will lead to a 403, but I'm sure these aspects will be improved over time. I didn't get any hallucinations though.
wolvoleo 5 hours ago [-]
I've seen Whisper do this exact thing as well. And also repeating a few words over and over near the end, words that were said but not completely at the end. It seems to overwrite the last few sentences with that so actual content is lost. It's really annoying especially because Whisper is really quite good otherwise. Sometimes a friend sends me audio messages from a noisy car and I can't make it all out but whisper gets it mostly right.
tech234a 1 hours ago [-]
I’ve noticed the some of YouTube’s auto-generated captions will sometimes hallucinate “Heat” during long music segments; probably an older model though.
k9294 6 hours ago [-]
I am using it all day as a main dictation model, and I can say it's the best model in terms of accuracy, latency, and formatting I have ever used.
erulabs 4 hours ago [-]
mind if I ask what dictation tool you are using?
mythz 17 minutes ago [-]
Annoying that they don't include pricing info in new models, here it is [1]:
Gemini 3.5 Transcribe Live (Per 1M tokens in USD):
Input: $3.50 or $0.005/min* (audio)
Output: 21.00 or $0.004/min* (text)
Gemini 3.5 Transcribe:
Input: $2.00 or $0.003/min* (audio)
Output: $12.00 or $0.002/min* (text)
That's really impressive! It says it's available in GBoard on Android but I don't see it yet. I assume like most Google features it will be a rolling release over the course of several months, can't wait to try it some day.
bahmboo 7 hours ago [-]
It is confusing. As far as I can tell "rambler for Android" is a named subfeature of gboard and only on Pixel 10+ and newer Samsung phones. From a user standpoint it "just" seems like the transcription has gotten better - not an app you use or a feature that you enable.
dbbk 4 hours ago [-]
Still more expensive and worse performing than ElevenLabs Scribe, unfortunately. Not sure who's the target audience for this.
jeffbee 7 hours ago [-]
I am not sure if "Word Error Rate" captures what has always been wrong with transcription. My biggest complaint is that it inserts sentence breaks in random places, then fails to evaluate the result, even though it is obviously wrong. Then I have to go fix it which can be harder than having just typed it myself, due to the difficulty of positioning the Android cursor, the fact that it automatically capitalizes if you delete a capital letter, etc. And much of the time I fail to notice the errors until later.
verdverm 6 hours ago [-]
have another model do a pass to clean it up, saw a demo of local STT where someone did this, can fix a lot of things, especially with gotchas for the STT model in a clean-transcript.md
I think the model can even evaluate itself. If it looks afterward at an output like "do you. Want to get lunch?" in the absence of affirmative evidence that the user wanted it that way, it should be able to see that it goofed.
iAMkenough 6 hours ago [-]
Hopefully YouTube automatic captions improve with this
ElijahLynn 5 hours ago [-]
Very impressive, including the ability to hit fn in any text field and say "generate an image ...".
Freedom2 7 hours ago [-]
I'd love to know how this handles proper subtitle formatting. I'm in the process of learning many languages, and being able to cross check my own understanding with film and video would be fantastic.
hypfer 6 hours ago [-]
Where does the compute happen?
I suppose it's a cloud thing?
k9294 5 hours ago [-]
Yep.
HappyPanacea 7 hours ago [-]
Does somebody knows what top locales list is sampled from? their own usage data?
Also when they will use their AI to give better directions in Waze?
hkjhkjhj 3 hours ago [-]
[flagged]
k9294 9 hours ago [-]
[flagged]
_zoltan_ 7 hours ago [-]
this is not a free advertising platform.
senordevnyc 5 hours ago [-]
lol, it absolutely is, just not for all of us.
k9294 6 hours ago [-]
Sorry everyone, I got a little bit too excited about the release. It's quite a big deal for us.
I started Ottex nine months ago with the idea that models will get to the point that they will overcome VC-funded startups, and I think it just happened. So yeah, I got a little bit overexcited...
The voices contained very industry specific words, the languages changed from one sentence to another, sometimes words in a language were mentioned while a discussion was in another.
The only local model that satisfies me is Voxtral Mini 3b, the only paid API that is slightly better is eleven labs. Yes, Voxtral might not reach the best score in the benchmarks, but to me, it just solves a problem. It might not be the best in terms of speed... but that’s not a problem for me.
Happy to test this new model from Google but I’m not sure I’d go with that instead of something that can run so easily in my machine.
I've been looking to find a simple and fast dictation app for English but almost everything I've tried (from Handy to many apps, eg some with Whisper in their names, after the model I assume) just don't work well. Apple's offering is worse than those though. I even tried with local enhancement models.
This confused the heck out of me because it makes it sound like the TTS model can make function calls in order to execute arbitrary tasks, which wouldn't make any sense. The developer docs (https://ai.google.dev/gemini-api/docs/models/gemini-3.5-tran...) confirm that the Gemini 3.5 Transcribe model cannot in fact make function calls. I guess the blog post is just using very confusing wording to describe how their consumer assistant/chatbot app can both take audio input via Gemini 3.5 Transcribe and then call other things as needed. Or maybe that bullet point was meant to be for a different model announcement and somebody made an editing error.
Something like "I hesitated to check it, I should have verified" => "I should have verified" (The "I hesitated..." is removed but I said it because I wanted to let the person know that I thought about it earlier)
I tried the sentence few times and it always removed the first part.
https://ai.google.dev/gemini-api/docs/transcribe#transcripti...
It doesn't reach the frontier in either latency or accuracy for ai multilingual conversations.
I would also like to see benchmark for translation. I'm looking for live translated subtitles so my Japanese wife can enjoy any show with out waiting months for official VOD streams to release them.
That would be interesting when they also own Google Meet.
Gemini 3.5 Transcribe Live (Per 1M tokens in USD):
Gemini 3.5 Transcribe: [1] https://ai.google.dev/gemini-api/docs/pricing#gemini-3.5-tra...I suppose it's a cloud thing?
I started Ottex nine months ago with the idea that models will get to the point that they will overcome VC-funded startups, and I think it just happened. So yeah, I got a little bit overexcited...