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DeepFry: Identifying Vocal Fry Using Deep Neural Networks ...
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Abstract:
Vocal fry or creaky voice refers to a voice quality characterized by irregular glottal opening and low pitch. It occurs in diverse languages and is prevalent in American English, where it is used not only to mark phrase finality, but also sociolinguistic factors and affect. Due to its irregular periodicity, creaky voice challenges automatic speech processing and recognition systems, particularly for languages where creak is frequently used. This paper proposes a deep learning model to detect creaky voice in fluent speech. The model is composed of an encoder and a classifier trained together. The encoder takes the raw waveform and learns a representation using a convolutional neural network. The classifier is implemented as a multi-headed fully-connected network trained to detect creaky voice, voicing, and pitch, where the last two are used to refine creak prediction. The model is trained and tested on speech of American English speakers, annotated for creak by trained phoneticians. We evaluated the ... : under submission to Interspeech 2022 ...
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Keyword:
Audio and Speech Processing eess.AS; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Machine Learning cs.LG; Sound cs.SD
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URL: https://dx.doi.org/10.48550/arxiv.2203.17019 https://arxiv.org/abs/2203.17019
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It’s alignment all the way down, but not all the way up: Speakers align on some features but not others within a dialogue
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In: J Phon (2021)
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SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
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Acoustic-phonetic and auditory mechanisms of adaptation in the perception of sibilant fricatives
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Investigating the forensic applications of global and local temporal representations of speech for dialect discrimination
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Predicting Declension Class from Form and Meaning
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In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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A Corpus for Large-Scale Phonetic Typology
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In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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The phonological and phonetic encoding of information status in American English nuclear accents
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Constraints on variability in the voice onset time of L2 English stop consonants
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Information structure, affect, and prenuclear prominence in American English
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