首页> IEEE transactions on audio, speech, and language processing (2025)> Estimation of Physiological Vocal Features from Neck Surface Acceleration Signals Using Probabilistic Bayesian Neural Networks.

Estimation of Physiological Vocal Features from Neck Surface Acceleration Signals Using Probabilistic Bayesian Neural Networks.

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第一作者： Joaquín,Sepúlveda

第一单位： Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.

作者： Joaquín,Sepúlveda ^[1] ; Jesús A,Parra ^[2] ; Emiro J,Ibarra ^[2] ; Mauricio,Araya ^[2] ; Patricio,De La Cuadra ^[1] ; Matías,Zañartu ^[2]

作者单位： Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile. ^[1] Department of Electronic Engineering and with the Advanced Center for Electrical and Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso, Chile. ^[2]

关键词 Accelerometers Bayes methods Bayesian networks speech analysis speech processing vocal folds

DOI 10.1109/taslpro.2025.3552938

PMID 40895642

发布时间 2026-04-19

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IEEE transactions on audio, speech, and language processing (2025)

2025年33卷

1576-1589页

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IEEE transactions on audio, speech, and language processing (2025)

2025年33卷

1576-1589页

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Estimation of Physiological Vocal Features from Neck Surface Acceleration Signals Using Probabilistic Bayesian Neural Networks.

IEEE transactions on audio, speech, and language processing (2025)

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IEEE transactions on audio, speech, and language processing (2025)

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Estimation of Physiological Vocal Features from Neck Surface Acceleration Signals Using Probabilistic Bayesian Neural Networks.

IEEE transactions on audio, speech, and language processing (2025)

相似文献

同项目论文

IEEE transactions on audio, speech, and language processing (2025)

相关期刊

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