Click the leaderboard tab here: https://huggingface.co/spaces/TTS-AGI/TTS-Arena
I believe the Edge API supports more models:
https://gist.github.com/BettyJJ/17cbaa1de96235a7f5773b8690a2...
Do you know any commercial licensed TTS that support 50+ languages and are relatively small (e.g. many small models, not 1 big model)? Meta's open models supports like 300 languages, but the license doesn't permit commercial use :-/
Especially the rhythm and timing is often very jarring making words difficult to understand, especially when the pitch is not quite right.
It also doesn't seem to know about pacing, ignoring semicolon and comma.
Combined I often need to think hard about what it just said, or even listen to it again.
I also notice these issues in the various English voice models to varying degrees, so seems to be an inherent problem. Or can it be improved significantly with training it yourself?
I’m sure it’s possible to train new voices.
The English voices are hit or miss, but some voices have up to 900 speakers so it should be able to find a nice voice in the hay stack.
The thing I like about piper is it is so fast. I set it up to stream the output to VLC and it starts speaking in less than a second even on my laptop.
I wish it could have eleven labs quality but right now the speed is the most important factor for what I’m doing with it.
This was also reflected in the voice output of espeak-ng, even though it's overall quality was vastly subpar compared to Piper TTS (as expected).
So it seems that improving this aspect might be one way to get better performance out of Piper for my language. Not sure how easy that'll be tho...
Azure like you say is pretty decent, Google does an ok enough job but not as good.
Acapela, Nuance - but its around 75 languages.
Comparing an API that typically requires a key and a public website is absurd.
But I thought the LinkedIn lawsuit settled that crawlers are ok, as long as you're not republishing the content?