SUST-CSE-Speech/banspeech
Dataset Card for BanSpeech Dataset Summary BanSpeech is a publicly available human-annotated Bangladeshi standard Bangla multi-domain automatic speech recognition (ASR) benchmark. This benchmark contains approximately 6.52 hours of human-annotated broadcast speech, totaling 8085 utterances, across 13 distinct domains and is primarily designed for ASR performance evaluation in challenging conditions e.g. spontaneous, domain-shifting, multi-talker, code-switching.… See the full description on the dataset page: https://huggingface.co/datasets/SUST-CSE-Speech/banspeech.
| Author / organization | SUST-CSE-Speech |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 135 (as reported by Hugging Face) |
| Likes | 8 |
| Created | 3 March 2024 |
| Last updated at source | 9 March 2024 |
Popularity, last 2 days
135 now (+9 since 2026-10-18). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- asif00/orpheus-bangla-ttsModel · used to train
- mradermacher/Orpheus-bangla-GGUFModel · used to train
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