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DeepSpeech Is Discontinued (2020)

(github.com)
48 points LorenDB | 1 comments | 25 Jun 25 17:15 UTC | HN request time: 0s | source
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ipsum2 ◴[25 Jun 25 18:19 UTC] 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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nico ◴[25 Jun 25 18:23 UTC] 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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lupusreal ◴[25 Jun 25 22:16 UTC] 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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dv35z ◴[25 Jun 25 23:09 UTC] No.44382651[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?
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1. haiku2077 ◴[25 Jun 25 23:50 UTC] No.44382884{3}[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.