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

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Bibliographische Detailangaben
Titel:	Convolutional Neural Networks for Classification of Voice Qualities from Speech and Neck Surface Accelerometer Signals
Autoren:	Javanmardi, Farhad, Alku, Paavo, Kadiri, Sudarsana
Quelle:	Annual Conference of the International Speech Communication Association. :5253-5257
Verlagsinformationen:	2022.
Publikationsjahr:	2022
Schlagwörter:	computational paralinguistics, neck surface accelerometer, ta213, Melspectrogram, CNNs, Voice quality
Publikationsart:	Conference object
Sprache:	English
ISSN:	1990-9772
DOI:	10.21437/interspeech.202210513
Zugangs-URL:	http://juuli.fi/Record/0394348022
Dokumentencode:	edsair.CSC...........51a4c5e7922cef3c30f470c7271ff61a
Datenbank:	OpenAIRE

Beschreibung
ISSN:	19909772
DOI:	10.21437/interspeech.202210513