11–20 of 77 posts
How hard could it be to train other European language(-s)?
Seems to not be to difficult in finding or creating training code. So a pretty decent amount of high quality training data should be many hours. And a few hours in high end data enter GPU compute, and many iterations to get it right.
> Limitations >Timestamps/Speaker diarization. The model does not feature either of these. What a shame. Is whisperx still the best choice if you want timestamps/diarization?
How hard could it be to train other European language(-s)?
> Limitations >Timestamps/Speaker diarization. The model does not feature either of these. What a shame. Is whisperx still the best choice if you want timestamps/diarization?
It doesn't use an extra model (so it supports every language that works with Whisper out of the box and use less memory), it works by applying Dynamic Time Warping to cross-attention weights.
> Limitations >Timestamps/Speaker diarization. The model does not feature either of these. What a shame. Is whisperx still the best choice if you want timestamps/diarization?
My experiences with Google’s Chirp have been horrendous, with it sometimes skipping sections of speech entirely, hallucinating speech where the audio contains noise, and unreliable word level timestamps. And this all is even with using their new audio prefiltering feature.
AWS works slightly better, but also has trouble with keeping word level timestamps in sync.
Whisper is nice but hallucinates regularly.
OpenAI’s new transcription models are delivering accurate output but do not support word level timestamps…
A lot of this could be worked around by sending the resulting transcripts through a few layers of post processing, but… I just want to pay for an API that is reliable and saves me from doing all that work.
My worry is that ASR will end up like OCR. If the multi modal large AI system is good enough (latency wise), the advantage of domain understanding eats the other technlogies alive. In OCR, even when the characters are poorly scanned, the deep domain understanding these large multi modal AIs have allows it to understand what the document actually meant - this is going to be order id because in the million invoices I h…
Dumb question, but if this is "open source" is there source code somewhere? Or does that term mean something different in the world of models that must be trained to be useful?
Dumb question, but if this is "open source" is there source code somewhere? Or does that term mean something different in the world of models that must be trained to be useful?
And someone has already converted it to onnx format: https://huggingface.co/eschmidbauer/cohere-transcribe-03-202... - so it can be run on CPU instead of GPU.
My worry is that ASR will end up like OCR. If the multi modal large AI system is good enough (latency wise), the advantage of domain understanding eats the other technlogies alive. In OCR, even when the characters are poorly scanned, the deep domain understanding these large multi modal AIs have allows it to understand what the document actually meant - this is going to be order id because in the million invoices I h…
Why are you 'worried' about it? Shouldn't we strive for better technology even if it means some will 'lose'?