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Corpus Phonetics Tutorial

arXiv 1811.05553 ↗First posted 13 Nov 2018cs.CLcited by 2

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Abstract (arXiv)

Corpus phonetics has become an increasingly popular method of research in linguistic analysis. With advances in speech technology and computational power, large scale processing of speech data has become a viable technique. This tutorial introduces the speech scientist and engineer to various automatic speech processing tools. These include acoustic model creation and forced alignment using the Kaldi Automatic Speech Recognition Toolkit (Povey et al., 2011), forced alignment using FAVE-align (Rosenfelder et al., 2014), the Montreal Forced Aligner (McAuliffe et al., 2017), and the Penn Phonetics Lab Forced Aligner (Yuan & Liberman, 2008), as well as stop consonant burst alignment using AutoVOT (Keshet et al., 2014). The tutorial provides a general overview of each program, step-by-step instructions for running the program, as well as several tips and tricks.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Nov 2018.

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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 0; 2026: 1.

2 papers.