3 ms·
Do you have any accuracy benchmarks? I’ve worked in this space. TTS in a small footprint isn’t the hard part —- it’s doing it accurately that’s hard. Although
by jedberg 3mo ago
Do you have any accuracy benchmarks?
I’ve worked in this space. TTS in a small footprint isn’t the hard part —- it’s doing it accurately that’s hard.
Although for the use cases OP is targeting, lower accuracy may be good enough!
- amelius 3mo ago> I’ve worked in this space. TTS in a small footprint isn’t the hard part —- it’s doing it accurately that’s hard. This actually holds for everything in AI.
- jedberg 3mo agoVery true!
- kamranjon 3mo agoIf you look at this chart here it seems the tiny model has a WER of ~12%… not sure about the micro model: https://github.com/moonshine-ai/moonshine#when-should-you-choose-moonshine-over-whisper https://github.com/moonshine-ai/moonshine#when-should-you-ch...
- yorwba 3mo agoThat's the error rate for STT, not TTS. TTS is generally easier than STT because you only need to produce one valid pronunciation and don't need to handle variation within and between individuals.