annasun28
commented
10 months ago @HardikJain02
how to implement seamless expressive in real-time with no latency ?
SeamlessStreaming is the real-time model, and "Seamless" is the unified seamless streaming + expressive model. You can check out https://huggingface.co/spaces/facebook/seamless-streaming/blob/main/README.md for an example implementation of the streaming demo in HF.
You can also check out and run the colab notebook at https://fb.me/mt-neurips for an example of standalone inference (which simulates passing chunks of input audio to the streaming model).
What's the latency and accuracy difference between Direct Speech-to-Speech Translation & Speech-to-Text followed by Text-to-Speech Translation?
We don't directly compare a cascaded S2T + TTS system to a direct S2ST system on latency in the paper, but in earlier experiments, we found that a baseline cascaded system had higher inference delays and worse quality which degraded the streaming S2ST naturalness and overall system latency.
Anyone can help me with how to implement seamless expressive in real-time with no latency ? Also, Suggest me some code references to implement. I am also interested in learning how to make these type of tech real-time with lowest possible latency? How does one know that this is the minimum latency one can achieve?
What's the latency and accuracy difference between Direct Speech-to-Speech Translation & Speech-to-Text followed by Text-to-Speech Translation?
My main agenda is to implement best speech-to-speech translation in real-time. Any other help than seamless expressive will work too.