psdn-ai/bangla-10k

Bangla-10K: A Challenging, Metadata-Rich Corpus of Read and Conversational Bengali Speech from India and Bangladesh Bangla-10K is a 10,816-hour Bengali speech corpus with 624,951 recordings from India and Bangladesh: a 10,070.8-hour core corpus (567,323 recordings) and a separately collected 745.1-hour evaluation set (57,628 recordings). It combines scripted single-speaker read speech with natural multi-speaker conversations for Bengali automatic speech recognition (ASR). The… See the full description on the dataset page: https://huggingface.co/datasets/psdn-ai/bangla-10k.

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