Pansori: ASR Corpus Generation from Open Online Video Contents
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Abstract (arXiv)
This paper introduces Pansori, a program used to create ASR (automatic speech recognition) corpora from online video contents. It utilizes a cloud-based speech API to easily create a corpus in different languages. Using this program, we semi-automatically generated the Pansori-TEDxKR dataset from Korean TED conference talks with community-transcribed subtitles. It is the first high-quality corpus for the Korean language freely available for independent research. Pansori is released as an open-source software and the generated corpus is released under a permissive public license for community use and participation.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Dec 2018.
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Citing papers per year: 2022: 2; 2023: 0; 2024: 1.
3 papers.
- 2024MSR-86K: An Evolving, Multilingual Corpus with 86,300 Hours of Transcribed Audio for Speech Recognition Researchcited by 9
- 2022Modernizing Open-Set Speech Language Identificationcited by 1
- 2022Wideband Audio Waveform Evaluation Networks: Efficient, Accurate Estimation of Speech Qualitiescited by 1
- 2024MSR-86K: An Evolving, Multilingual Corpus with 86,300 Hours of Transcribed Audio for Speech Recognition Research26 Jun 2024
- 2022Wideband Audio Waveform Evaluation Networks: Efficient, Accurate Estimation of Speech Qualities27 Jun 2022
- 2022Modernizing Open-Set Speech Language Identification20 May 2022