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New Bengali Speech Corpus 'Lipi-Ghor' Released with YouTube Data

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Lipi-Ghor, a substantial new corpus of Bengali speech data designed to address the under-resourced nature of the language in spoken language research. This corpus contains 885 hours of audio from YouTube, featuring speaker diarization and long-form annotations across 17 different domains. The project also introduces a replicable pipeline for constructing similar corpora for other languages with sufficient YouTube content, and includes a benchmark of four ASR models, highlighting their degradation on varied content types. AI

IMPACT Addresses a critical data gap for Bengali ASR, potentially accelerating research and development for the language.

RANK_REASON The item describes a new academic paper detailing the creation of a large-scale speech corpus for a low-resource language. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Bengali Speech Corpus 'Lipi-Ghor' Released with YouTube Data

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The item describes a new academic paper detailing the creation of a large-scale speech corpus for a low-resource language. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Lipi-Ghor: A Large-Scale, Diarized, Multi-Domain Bengali Speech Corpus and a Scalable Pipeline for Building It

    Bengali, spoken by over 230 million people, remains severely under-resourced in spoken language research. Existing open Bengali ASR corpora are confined to short, read or crowd-sourced speech and lack speaker diarization and long-form audio. We present Lipi-Ghor, a large-scale we…

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