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Gemini-3.5-Transcribe

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Re: Gemini-3.5-Transcribe

#71

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 el…

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.

I am biased as a developer on the project but you should give Epilude [1] a go if you want local dictation on a Mac.

We’ve fine-tuned open-weight models to make them better (in our benchmarks) at cleaning up and formatting what you say so you don’t have to edit what you dictate.

https://epilude.com

Re: Gemini-3.5-Transcribe

#72

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 el…

What i want is a model that outputs its predictions and their scores along with the text it choose. So I could flag something it's getting consistently wrong, like mis-predicting a technical term or name, or acronym, and say replace it with my correction, and have the ui be able to smartly replace that in the whole text so far and future parts. even better would be the ability to feed this back into the model for future runs.

Re: Gemini-3.5-Transcribe

#73

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 el…

It's interesting that the results can be so different depending on the person, the use case and even the microphone used. I use dictation a lot, so I try to stay up to date with the latest models as much as I can. So far, for my needs, nothing could beat Whisper Large v3. I keep hearing that Nvidia Parakeet models are better, but they just don't work as well for me, even though they are unquestionably faster.

Things change a lot if you need to speak to the model in multiple languages. There are very few models out there that can automatically detect the language spoken and produce correct output.

I tried the larger Voxtral models, but they didn't work for me at all. When I spoke to them in Polish, they produced output in Russian or Ukrainian.

For now, I settled on creating my own plugin for TypeWhisper, which runs Whisper Large on the GPU and does it much faster than pretty much anything else out there. But I'm still hoping that something better will come along, as Whisper Large is quite old at this point.

Re: Gemini-3.5-Transcribe

#74

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 el…

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.

I used MacWhisper for a long time and then recently switched to the free TypeWhisper. Both work very well on a Mac.

Re: Gemini-3.5-Transcribe

#75
post #58

I personally tested all the STT models for my real-time translator ( https://fliptalk.ai ). From language detection and accuracy in a noisy environment to the most important point: latency. At the moment, Soniox STT v5 is definitely the best, and I'm impressed by its performance. It's good that Google released Gemini-3.5-Transcribe, and it beats every other model on accuracy, but it definitely needs a bit more work o…

  > latency, which is the most important factor for STT apps.
Perhaps latency is more important than accuracy for a real time translation app (I actually disagree with this - imagine e.g. the hilarity when requesting "a new display" being translated as "a nudist play"), but certainly not for all applications. My pet app transcribes personal voice notes to self, it could run all night.

Re: Gemini-3.5-Transcribe

#76
Google is crushing it! They’re going toe to toe against the European giant Mistral with all these small useful models and they have a chance of winning! Never have I been more excited about Google’s capabilities.

Re: Gemini-3.5-Transcribe

#77
post #76

Google is crushing it! They’re going toe to toe against the European giant Mistral with all these small useful models and they have a chance of winning! Never have I been more excited about Google’s capabilities.

Is this sarcasm?

Re: Gemini-3.5-Transcribe

#78
post #76

Google is crushing it! They’re going toe to toe against the European giant Mistral with all these small useful models and they have a chance of winning! Never have I been more excited about Google’s capabilities.

Is this sarcasm?

It can't possibly be anything else.

Re: Gemini-3.5-Transcribe

#79
post #76

Google is crushing it! They’re going toe to toe against the European giant Mistral with all these small useful models and they have a chance of winning! Never have I been more excited about Google’s capabilities.

Is this sarcasm?

Meant as a joke in good spirit. I do appreciate what Google is doing but I am rooting for them to also compete on the frontier.
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