Conversion of airborne to bone-conducted speech with deep neural networks

Michael Pucher; Thomas Woltron

doi:10.21437/Interspeech.2021-473

Conversion of airborne to bone-conducted speech with deep neural networks

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021
Publisher	International Speech Communication Association
Pages	3296-3300
Number of pages	5
ISBN (Electronic)	9781713836902
DOIs	https://doi.org/10.21437/Interspeech.2021-473
Publication status	Published - 2021
Externally published	Yes
Event	22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021 - Brno, Czech Republic Duration: 30 Aug 2021 → 3 Sept 2021

Publication series

Name	Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Volume	5
ISSN (Print)	2308-457X
ISSN (Electronic)	1990-9772

Conference

Conference	22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021
Country/Territory	Czech Republic
City	Brno
Period	30/08/21 → 3/09/21

Keywords

Bone-conducted speech
Deep neural networks
LSTM
Voice conversion

Access to Document

10.21437/Interspeech.2021-473

Cite this

Pucher, M., & Woltron, T. (2021). Conversion of airborne to bone-conducted speech with deep neural networks. In 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021 (pp. 3296-3300). (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH; Vol. 5). International Speech Communication Association. https://doi.org/10.21437/Interspeech.2021-473

Pucher, Michael ; Woltron, Thomas. / Conversion of airborne to bone-conducted speech with deep neural networks. 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021. International Speech Communication Association, 2021. pp. 3296-3300 (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH).

@inproceedings{83bbecb4666d4adaaf938d5cdb4ff3bf,

title = "Conversion of airborne to bone-conducted speech with deep neural networks",

keywords = "Bone-conducted speech, Deep neural networks, LSTM, Voice conversion",

author = "Michael Pucher and Thomas Woltron",

note = "Publisher Copyright: {\textcopyright} 2021 ISCA; 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021 ; Conference date: 30-08-2021 Through 03-09-2021",

year = "2021",

doi = "10.21437/Interspeech.2021-473",

language = "English",

series = "Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",

publisher = "International Speech Communication Association",

pages = "3296--3300",

booktitle = "22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021",

}

Pucher, M & Woltron, T 2021, Conversion of airborne to bone-conducted speech with deep neural networks. in 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, vol. 5, International Speech Communication Association, pp. 3296-3300, 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021, Brno, Czech Republic, 30/08/21. https://doi.org/10.21437/Interspeech.2021-473

Conversion of airborne to bone-conducted speech with deep neural networks. / Pucher, Michael; Woltron, Thomas.
22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021. International Speech Communication Association, 2021. p. 3296-3300 (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH; Vol. 5).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Conversion of airborne to bone-conducted speech with deep neural networks

AU - Pucher, Michael

AU - Woltron, Thomas

PY - 2021

Y1 - 2021

KW - Bone-conducted speech

KW - Deep neural networks

KW - LSTM

KW - Voice conversion

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U2 - 10.21437/Interspeech.2021-473

DO - 10.21437/Interspeech.2021-473

M3 - Conference contribution

AN - SCOPUS:85119174374

T3 - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

SP - 3296

EP - 3300

BT - 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021

PB - International Speech Communication Association

T2 - 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021

Y2 - 30 August 2021 through 3 September 2021

ER -

Pucher M, Woltron T. Conversion of airborne to bone-conducted speech with deep neural networks. In 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021. International Speech Communication Association. 2021. p. 3296-3300. (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH). doi: 10.21437/Interspeech.2021-473

Conversion of airborne to bone-conducted speech with deep neural networks

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Conference

Keywords

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