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Whisper ASR tool aids Cantonese oral history transcription in New Zealand

By PulseAugur Editorial · [1 sources] ·

A new paper explores the application of Automatic Speech Recognition (ASR) tools, specifically Whisper, for multilingual oral history research. The study focused on Cantonese revitalization efforts in New Zealand, finding that while Whisper significantly reduces transcription time, its word error rate (WER) for non-English segments can be as high as 12.10%. Despite this, the tool is considered valuable for providing initial transcriptions. AI

IMPACT Demonstrates the utility and limitations of current ASR models for specialized linguistic and historical research.

RANK_REASON Academic paper on applying existing AI technology to a specific research domain. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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

Whisper ASR tool aids Cantonese oral history transcription in New Zealand

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32 / 100
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Academic paper on applying existing AI technology to a specific research domain. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Sidney Wong, Chelsea Wong She, Eda Tang, Tiana Marshall Wong, Debbie Sew Hoy, Chelsea Wong ·

    Automatic Speech Recognition for Multilingual Oral History Research

    arXiv:2609.04232v1 Announce Type: cross Abstract: This paper offers a unique perspective on how speech technologies are being adopted by community-led heritage language preservation and revitalisation initiatives. As a community-led language maintenance strategy, oral histories p…

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