Sign inGet started
Dataset · Hugging Face

speech-seq2seq/ami

GigaSpeech is an evolving, multi-domain English speech recognition corpus with 10,000 hours of high quality labeled audio suitable for supervised training, and 40,000 hours of total audio suitable for semi-supervised and unsupervised training. Around 40,000 hours of transcribed audio is first collected from audiobooks, podcasts and YouTube, covering both read and spontaneous speaking styles, and a variety of topics, such as arts, science, sports, etc. A new forced alignment and segmentation pipeline is proposed to create sentence segments suitable for speech recognition training, and to filter

Author / organizationspeech-seq2seq
Downloads3.4K (as reported by Hugging Face)
Likes0
Created2 September 2022
Last updated at source6 September 2022
Embed this entry
<iframe src="https://silytics.si/embed/item/97211fb9-aa6f-4035-9336-a455a72b8abe" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.