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Convolutional Neural Networks for Classification of Voice Qualities from Speech and Neck Surface Accelerometer Signals

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Bibliographic Details
Title:	Convolutional Neural Networks for Classification of Voice Qualities from Speech and Neck Surface Accelerometer Signals
Authors:	Javanmardi, Farhad, Alku, Paavo, Kadiri, Sudarsana
Source:	Annual Conference of the International Speech Communication Association. :5253-5257
Publisher Information:	2022.
Publication Year:	2022
Subject Terms:	computational paralinguistics, neck surface accelerometer, ta213, Melspectrogram, CNNs, Voice quality
Document Type:	Conference object
Language:	English
ISSN:	1990-9772
DOI:	10.21437/interspeech.202210513
Access URL:	http://juuli.fi/Record/0394348022
Accession Number:	edsair.CSC...........51a4c5e7922cef3c30f470c7271ff61a
Database:	OpenAIRE

Description
ISSN:	19909772
DOI:	10.21437/interspeech.202210513