Computational sociophonetics using automatic speech recognition

IF 2.8 0 LANGUAGE & LINGUISTICS

Language and Linguistics Compass Pub Date : 2022-09-14 DOI:10.1111/lnc3.12474

Rolando Coto-Solano

引用次数: 1

Abstract

Recent years have seen numerous advances in natural language processing that can help accelerate sociophonetic work. These include software to align speech recordings with their transcriptions, as well as to transcribe audio automatically. This solves a major bottleneck and will help process larger datasets and test hypotheses more efficiently. This paper will summarise recent progress, highlight relevant examples of sociophonetic research, and comment on the technical and ethical issues at the cutting edge of natural language processing.

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使用自动语音识别的计算社会语音学

近年来，在自然语言处理方面取得了许多进展，有助于加速社会语音工作。其中包括将语音录音与其转录相匹配的软件，以及自动转录音频的软件。这解决了一个主要的瓶颈，将有助于处理更大的数据集和更有效地测试假设。本文将总结最近的进展，重点介绍社会语音学研究的相关例子，并对自然语言处理的前沿技术和伦理问题进行评论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Language and Linguistics Compass LANGUAGE & LINGUISTICS-

CiteScore

5.40

自引率

4.00%

发文量

期刊介绍： Unique in its range, Language and Linguistics Compass is an online-only journal publishing original, peer-reviewed surveys of current research from across the entire discipline. Language and Linguistics Compass publishes state-of-the-art reviews, supported by a comprehensive bibliography and accessible to an international readership. Language and Linguistics Compass is aimed at senior undergraduates, postgraduates and academics, and will provide a unique reference tool for researching essays, preparing lectures, writing a research proposal, or just keeping up with new developments in a specific area of interest.