PlayAI's new Dialog model achieves 3:1 preference in human evals
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Re: PlayAI's new Dialog model achieves 3:1 preference in human evals
#12For some reason, most of these (and other narration AIs) sound like someone reading off a teleprompter, rather than natural speaking voices. I'm not sure what exactly it is, but I'm left feeling like the speaker isn't really sure of what the next words are, and the stresses between the words are all over the place. It's like the emphasis over a sentence doesn't really match how humans sound.
I couldn't get half way through.
Re: PlayAI's new Dialog model achieves 3:1 preference in human evals
#13For some reason, most of these (and other narration AIs) sound like someone reading off a teleprompter, rather than natural speaking voices. I'm not sure what exactly it is, but I'm left feeling like the speaker isn't really sure of what the next words are, and the stresses between the words are all over the place. It's like the emphasis over a sentence doesn't really match how humans sound.
I really like "off a teleprompter", it accurately characterizes the subtle dissonances where it sounds like someone who is reading something they haven't read before. 0:14 "infectious (flat) beatsss (drawn out), which is near diametrically opposed to the paired snappy 0:12 "soulful (high / low) vocals (high)."
Re: PlayAI's new Dialog model achieves 3:1 preference in human evals
#14For some reason, most of these (and other narration AIs) sound like someone reading off a teleprompter, rather than natural speaking voices. I'm not sure what exactly it is, but I'm left feeling like the speaker isn't really sure of what the next words are, and the stresses between the words are all over the place. It's like the emphasis over a sentence doesn't really match how humans sound.
In any case, voice is such a thin vertical that I half expect the Chinese to release an open source TTS model that out-performs everything on the market. Tencent probably has one of these cooking right now.
Re: PlayAI's new Dialog model achieves 3:1 preference in human evals
#15But then I tried a paragraph of Japanese text, also from a formal speech, with the language set to Japanese and the narrator set to Yumiko Narrative. The result was a weird mixture of Korean, Chinese, and Japanese readings for the kanji and kana, all with a Korean accent, and numbers read in English with an American accent. I regenerated the output twice, and the results were similar. Completely unusable.
I tried the same paragraph on ElevenLabs. The output was all in Japanese and had natural intonation, but there were two or three misreadings per sentence that would render it unusable for any practical purpose. Examples: 私の生の声 was read as watashi no koe no koe when it should have been watashi no nama no koe. 公開形式 was read as kōkai keiji instead of kōkai keishiki. Neither kanji misreading would be correct in any context. Even weirder, the year 2020 was read as 2021. Such misreadings would confuse and mislead any listeners.
I know that Japanese text-to-speech is especially challenging because kanji can often be read many different ways depending on the context, the specific referent, and other factors. But based on these tests, neither PlayAI nor ElevenLabs should be offering Japanese TTS services commercially yet.
Re: PlayAI's new Dialog model achieves 3:1 preference in human evals
#16Do these services restrict the content that their AIs give voice to? If so, what are the typical restrictions? Like do they seek to prevent their tech being used for scamming, erotica, hate speech, etc? Or is it pretty much anything goes?
Or do you think they should analyze the text's sentiment and raise a flag if the sentiment is obviously breaking the EULA, e.g. some kind of hate speech?
How would you implement that?
Re: PlayAI's new Dialog model achieves 3:1 preference in human evals
#17I tried it with a paragraph of English taken from a formal speech, and it sounded quite good. I would not have been able to distinguish it from a skilled human narrator. But then I tried a paragraph of Japanese text, also from a formal speech, with the language set to Japanese and the narrator set to Yumiko Narrative. The result was a weird mixture of Korean, Chinese, and Japanese readings for the kanji and kana, all…
Re: PlayAI's new Dialog model achieves 3:1 preference in human evals
#18I've been messing with the open source side of audio generation, and expressiveness still takes work but it's getting there. Roughly summarized my findings are: - zero shot voice cloning isn't there yet - gpt-sovits is the best at non-word vocalizations, but the overall quality is bad when just using zero shot, finetuning helps - F5 and fish-speech are both good as well - xtts for me has had the best stability (i can…
Re: PlayAI's new Dialog model achieves 3:1 preference in human evals
#19For some reason, most of these (and other narration AIs) sound like someone reading off a teleprompter, rather than natural speaking voices. I'm not sure what exactly it is, but I'm left feeling like the speaker isn't really sure of what the next words are, and the stresses between the words are all over the place. It's like the emphasis over a sentence doesn't really match how humans sound.
Speech encodes a gigantic amount of emotion via prosody and rhythm -- how the speaker is feeling, how they feel about each noun and verb, what they're trying to communicate with it.
If you try to reproduce all the normal speech prosody, it'll be all over the place and SoUnD bIzArRe and won't make any sense, and be incredibly distracting, because there's no coherent psychology behind it.
So "reading off a teleprompter" is really the best we can do for now -- not necessary affectless, but with a kind of "constant affect", that varies with grammatical structures and other language patterns, but no real human psychology.
It's a gigantic difference from text, which encodes vastly less information.
(And this is one of the reasons I don't see AI replacing actors for a looong time, not even voice actors. You can map a voice onto someone else's voice preserving their prosody, but you still need a skilled human being producing the prosody in the first place.)
Re: PlayAI's new Dialog model achieves 3:1 preference in human evals
#20I've been messing with the open source side of audio generation, and expressiveness still takes work but it's getting there. Roughly summarized my findings are: - zero shot voice cloning isn't there yet - gpt-sovits is the best at non-word vocalizations, but the overall quality is bad when just using zero shot, finetuning helps - F5 and fish-speech are both good as well - xtts for me has had the best stability (i can…
At the very least, wouldn't you have to provide 1 sample? Which would make it "few shot" (if that term really even makes sense in this context).