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1
DeepFry: Identifying Vocal Fry Using Deep Neural Networks ...
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2
Mixer 6 Stop Consonants - Linguistics Vanguard 2018 ...
Chodroff, Eleanor. - : Open Science Framework, 2021
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3
Phonetic Entrainment ...
Chodroff, Eleanor. - : Open Science Framework, 2021
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4
It’s alignment all the way down, but not all the way up: Speakers align on some features but not others within a dialogue
In: J Phon (2021)
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5
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
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6
A Corpus for Large-Scale Phonetic Typology ...
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7
A Corpus for Large-Scale Phonetic Typology ...
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8
Predicting Declension Class from Form and Meaning ...
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9
Acoustic-phonetic and auditory mechanisms of adaptation in the perception of sibilant fricatives
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10
A corpus for large-scale phonetic typology
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11
Predicting declension class from form and meaning
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12
Investigating the forensic applications of global and local temporal representations of speech for dialect discrimination
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13
Predicting Declension Class from Form and Meaning
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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14
A Corpus for Large-Scale Phonetic Typology
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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15
Predicting Declension Class from Form and Meaning ...
Williams, Adina; Pimentel, Tiago; Blix, Hagen. - : ETH Zurich, 2020
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16
The phonological and phonetic encoding of information status in American English nuclear accents
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17
Constraints on variability in the voice onset time of L2 English stop consonants
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18
Corpus Phonetics Tutorial ...
Chodroff, Eleanor. - : arXiv, 2018
Abstract: 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. ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1811.05553
https://arxiv.org/abs/1811.05553
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19
Information structure, affect, and prenuclear prominence in American English
Cole, Jennifer; Chodroff, Eleanor Rosalie. - : International Speech Communication Association, 2018
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