Robust speech recognition via large-scale weak supervision
We study the capabilities of speech processing systems trained simply to predict large
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
[PDF][PDF] Robust Speech Recognition via Large-Scale Weak Supervision
A Radford, JW Kim, T Xu, G Brockman, C McLeavey… - tecnoveste.com.br
We study the capabilities of speech processing systems trained simply to predict large
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
Robust Speech Recognition via Large-Scale Weak Supervision
A Radford, JW Kim, T Xu, G Brockman, C McLeavey… - openreview.net
We study the capabilities of speech processing systems trained simply to predict large
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
Robust Speech Recognition via Large-Scale Weak Supervision
A Radford, JW Kim, T Xu, G Brockman… - arXiv preprint arXiv …, 2022 - arxiv.org
We study the capabilities of speech processing systems trained simply to predict large
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
[PDF][PDF] Robust Speech Recognition via Large-Scale Weak Supervision
A Radford, JW Kim, T Xu, G Brockman, C McLeavey… - ik.imagekit.io
We study the capabilities of speech processing systems trained simply to predict large
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
[PDF][PDF] Robust Speech Recognition via Large-Scale Weak Supervision
A Radford, JW Kim, T Xu, G Brockman, C McLeavey… - 33wang.com
We study the capabilities of speech processing systems trained simply to predict large
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
[PDF][PDF] Robust Speech Recognition via Large-Scale Weak Supervision
A Radford, JW Kim, T Xu, G Brockman, C McLeavey… - cdn.openai.com
We study the capabilities of speech processing systems trained simply to predict large
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
Robust speech recognition via large-scale weak supervision
A Radford, JW Kim, T Xu, G Brockman… - Proceedings of the 40th …, 2023 - dl.acm.org
We study the capabilities of speech processing systems trained simply to predict large
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
[PDF][PDF] Robust Speech Recognition via Large-Scale Weak Supervision
A Radford, JW Kim, T Xu, G Brockman, C McLeavey… - proceedings.mlr.press
We study the capabilities of speech processing systems trained simply to predict large
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
Robust Speech Recognition via Large-Scale Weak Supervision
A Radford, JW Kim, T Xu, G Brockman… - arXiv e …, 2022 - ui.adsabs.harvard.edu
We study the capabilities of speech processing systems trained simply to predict large
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …