TADA: Speech generation through text-acoustic synchronization
21–30 of 31 posts
Re: TADA: Speech generation through text-acoustic synchronization
#22Will this run on CPU? (as opposed to GPU)
This is bound to be a question that will be increasingly harder to answer. For instance, Apple processors have at least two different neural accelerators/matrix coprocessors (ANE and AMX) in addition to the integrated GPU. Do these count as "CPU"?
The homes at home, such as by Apple, don't count for serious workflows that must run reliably.
Re: TADA: Speech generation through text-acoustic synchronization
#23To me, the speech sounds impressively expressive, but there is something off about the audio quality that I can't quite put my finger on. The "Anger Speech" has an obvious lisp (Maybe a homage to Elmer Fudd?). But I hear a similar, but more subtle, speech impediment in the "Adoration Speech". The "Fearful Speech" might have a slight warble to it. And the "Long Speech" is difficult to evaluate because the speaker has…
Was it trained on Sam Altman?
Re: TADA: Speech generation through text-acoustic synchronization
#24Will this run on CPU? (as opposed to GPU)
All that said, I think it likely this has been built and trained only on Nvidia
Re: TADA: Speech generation through text-acoustic synchronization
#25"Long speech" is a faithful synthesis of a fairly irritating modern American English speech pattern.
I like me a good rabbit hole that's interesting and also digs into stereotypes.
Turns out, like many memes, it's not just that. It's (also?) a normal speech pattern, used by different genders, ages, and social groups, in many languages.
This doesn't mean that vocal fry isn't used as social signaling. But complaining about it, well, isn't that social signalling too?
Geoff Lindsey - Vocal Fry: what it is, who does it, and why people hate it! - https://www.youtube.com/watch?v=Q0yL2GezneU
Re: TADA: Speech generation through text-acoustic synchronization
#26the 0.09 RTF is wild but i wonder how much of that speed advantage disappears once you need voice cloning or fine grained prosody control. i use cartesia sonic for TTS in a video pipeline and the thing that actually matters for content creation isnt raw speed - its whether you can get consistent emotional delivery across like 50+ scenes without it drifting. the 1:1 text-acoustic alignment should help with hallucinati…
Re: TADA: Speech generation through text-acoustic synchronization
#27"Long speech" is a faithful synthesis of a fairly irritating modern American English speech pattern.
"Vocal fry", aka "creaky voice". It's stereotypically associated with irritating young women. I like me a good rabbit hole that's interesting and also digs into stereotypes. Turns out, like many memes, it's not just that. It's (also?) a normal speech pattern, used by different genders, ages, and social groups, in many languages. This doesn't mean that vocal fry isn't used as social signaling. But complaining about it…
Re: TADA: Speech generation through text-acoustic synchronization
#28To me, the speech sounds impressively expressive, but there is something off about the audio quality that I can't quite put my finger on. The "Anger Speech" has an obvious lisp (Maybe a homage to Elmer Fudd?). But I hear a similar, but more subtle, speech impediment in the "Adoration Speech". The "Fearful Speech" might have a slight warble to it. And the "Long Speech" is difficult to evaluate because the speaker has…
Re: TADA: Speech generation through text-acoustic synchronization
#29Earlier quoted context omitted.
This is bound to be a question that will be increasingly harder to answer. For instance, Apple processors have at least two different neural accelerators/matrix coprocessors (ANE and AMX) in addition to the integrated GPU. Do these count as "CPU"?
I think the answer is rather simple and boring -- only the CPU type commonly used in cheap cloud machines counts. This still is x86 only. The homes at home, such as by Apple, don't count for serious workflows that must run reliably.
Of course, the big interest these days is in cloud based assistants, where synthesizing on server and piggybacking on the rest of the answer is quite reasonable.
Re: TADA: Speech generation through text-acoustic synchronization
#30okay so they say text continuation only without fine tuning. I assume that means that we can't use it as a replacement for TTS in an AI agent chat? Because it will not work without enough context? Could you maybe trick it into thinking it was continuing a sample for an assistant use case if the sample was generic enough? I appreciate them being honest about it though because otherwise I might spend two days trying to…