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48 points LorenDB | 12 comments | | HN request time: 0.627s | source | bottom
1. ipsum2 ◴[] No.44380330[source]
I've been using Nvidia's parakeet model, it's been better than Whisper v3 large and smaller. Only supports English.

https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2

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2. nico ◴[] No.44380380[source]
Does it need a newer GPU? Or can it run on just CPU?

Would it run on a raspberry pi?

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3. GaggiX ◴[] No.44380459[source]
Look up for faster whisper or distilled whisper models, smaller models run quite nicely but perform poorly outside of English, if you are interested in a different language it's better to finetune it (HuggingFace has a huge amount of finetuned Whisper models).
4. ◴[] No.44380499[source]
5. ipsum2 ◴[] No.44380936[source]
If you want real-time, it requires a GPU, but can be underpowered. CPU is a little slower but works fine.
6. 100xlong ◴[] No.44381533[source]
are there any linux/mac apps that allow people to use parakeet for daily dictation like SuperWhisper?
replies(1): >>44382712 #
7. lupusreal ◴[] No.44382292[source]
Best CPU TTS that can run on something like a raspberry pi is Piper. It can do real time synthesis on a raspberry pi and on a real computer it runs several times faster with negligible performance cost. I use it for 'reading' ebooks when my eyes get tired. The quality is roughly on par with where Mac OS's TTS was ~10 years ago (the last time I used it.) You can tell it's TTS, but it's good enough that you can become accustomed to it fairly easily.

https://github.com/rhasspy/piper

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8. GaggiX ◴[] No.44382342{3}[source]
They are talking about STT, not TTS, but as a TTS piper is very good and works nicely on a raspberry pi, I agree.
9. dv35z ◴[] No.44382651{3}[source]
What voices do you recommend? The ones I had checked out (about a year ago) - the voices were mostly european-sounding, and flat, and not so natural-sounding. Is Piper the best open-source text-to-speech engine out there?
replies(1): >>44382884 #
10. ipsum2 ◴[] No.44382712[source]
Sort of, check out https://github.com/senstella/parakeet-mlx.
11. haiku2077 ◴[] No.44382884{4}[source]
You can also try Kokoro and Sherpa.

If this is for personal use the best local TTS is to grab a Mac, set the system voice to one of the current Siri voice models, and then use the 'say' command in the terminal. Yes, really. The nonbinary voice #5 in particular does really well at technical terminology.

12. PeterStuer ◴[] No.44384824[source]
In my side by side testing of Whisper and Parakeet in transcribing Euro-English meeting recordings, Whisper produced the better result, but Parakeet was faster.

I'm sticking with Whisper as it is fast enough for my use case.