Lucasoato4 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.
hinnisdael3 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.
kridsdale13 hours ago
I use Parakeet 3. How does that fare in your testing?
Lucasoato3 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.
cnxhk4 hours ago
Any possibility to share some of the eval audio?
Lucasoato3 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.
wahnfrieden2 hours ago
Try the recent MOSS one? It’s very good
zhivotaan hour 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.
Crystalin4 hours ago
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.
sync4 hours ago
Are you in Smart or Verbatim mode?
https://ai.google.dev/gemini-api/docs/transcribe#transcripti...
skinfaxi2 hours ago
They mentioned the pixel phone so probably using https://blog.google/products-and-platforms/platforms/android...
blissofbeing2 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.
film425 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.
tech234a14 minutes 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.
sync4 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.
wolvoleo4 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.
k9294op5 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.
erulabs4 hours ago
mind if I ask what dictation tool you are using?
gumby2716 hours ago
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.
bahmboo6 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.
dbbk3 hours ago
Still more expensive and worse performing than ElevenLabs Scribe, unfortunately. Not sure who's the target audience for this.
jeffbee6 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.
verdverm5 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
coder5435 hours ago
I haven't tried it, but this looked promising for that exact task: https://huggingface.co/superwhisper/s1-mini
jeffbee5 hours ago
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.
iAMkenough5 hours ago
Hopefully YouTube automatic captions improve with this
ElijahLynn4 hours ago
Very impressive, including the ability to hit fn in any text field and say "generate an image ...".
Freedom26 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.
hypfer5 hours ago
Where does the compute happen?
I suppose it's a cloud thing?
k9294op5 hours ago
Yep.
HappyPanacea6 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?
hkjhkjhj2 hours ago
[flagged]
k9294op8 hours ago
[flagged]
_zoltan_6 hours ago
this is not a free advertising platform.
senordevnyc4 hours ago
lol, it absolutely is, just not for all of us.
k9294op6 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...
ChrisClark6 hours ago
omg, some founders are so tone deaf