Blind Room Volume Estimation from Single-channel Noisy Speech

A. F. Genovese; H. Gamper; V. Pulkki; N. Raghuvanshi; I. J. Tashev

doi:10.1109/ICASSP.2019.8682951

Blind Room Volume Estimation from Single-channel Noisy Speech

A. F. Genovese
, H. Gamper
, V. Pulkki
, N. Raghuvanshi
, I. J. Tashev

Communication Acoustics: Spatial Sound and Psychoacoustics

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

37 Sitaatiot (Scopus)

345 Lataukset (Pure)

Abstrakti

Recent work on acoustic parameter estimation indicates that geometric room volume can be useful for modeling the character of an acoustic environment. However, estimating volume from audio signals remains a challenging problem. Here we propose using a convolutional neural network model to estimate the room volume blindly from reverberant single-channel speech signals in the presence of noise. The model is shown to produce estimates within approximately a factor of two to the true value, for rooms ranging in size from small offices to large concert halls.

Alkuperäiskieli	Englanti
Otsikko	44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings
Kustantaja	IEEE
Sivut	231-235
Sivumäärä	5
ISBN (elektroninen)	978-1-4799-8131-1
ISBN (painettu)	978-1-4799-8132-8
DOI - pysyväislinkit	https://doi.org/10.1109/ICASSP.2019.8682951
Tila	Julkaistu - 1 toukok. 2019
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE International Conference on Acoustics, Speech, and Signal Processing - Brighton, Iso-Britannia Kesto: 12 toukok. 2019 → 17 toukok. 2019 Konferenssinumero: 44

Julkaisusarja

Nimi	Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing
ISSN (painettu)	1520-6149
ISSN (elektroninen)	2379-190X

Conference

Conference	IEEE International Conference on Acoustics, Speech, and Signal Processing
Lyhennettä	ICASSP
Maa/Alue	Iso-Britannia
Kaupunki	Brighton
Ajanjakso	12/05/2019 → 17/05/2019

Pääsy asiakirjaan

10.1109/ICASSP.2019.8682951

ELEC_pulkki_blind_room_volume_estimationAccepted author manuscript, 241 KB

Muut tiedostot ja linkit

Link to publication in Scopus

Siteeraa tätä

Genovese, A. F., Gamper, H., Pulkki, V., Raghuvanshi, N., & Tashev, I. J. (2019). Blind Room Volume Estimation from Single-channel Noisy Speech. teoksessa 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings (Sivut 231-235). Artikkeli 8682951 (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing). IEEE. https://doi.org/10.1109/ICASSP.2019.8682951

Genovese, A. F. ; Gamper, H. ; Pulkki, V. et al. / Blind Room Volume Estimation from Single-channel Noisy Speech. 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings. IEEE, 2019. Sivut 231-235 (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

@inproceedings{39fd37ceaf0a4e6089e30caabdc50842,

title = "Blind Room Volume Estimation from Single-channel Noisy Speech",

abstract = "Recent work on acoustic parameter estimation indicates that geometric room volume can be useful for modeling the character of an acoustic environment. However, estimating volume from audio signals remains a challenging problem. Here we propose using a convolutional neural network model to estimate the room volume blindly from reverberant single-channel speech signals in the presence of noise. The model is shown to produce estimates within approximately a factor of two to the true value, for rooms ranging in size from small offices to large concert halls.",

keywords = "Acoustics, Volume measurement, Training, Solid modeling, Noise measurement, Data models, Acoustic measurements, Room acoustics, room size, non-intrusive parameter estimation, signal processing, convolutional neural network",

author = "Genovese, \{A. F.\} and H. Gamper and V. Pulkki and N. Raghuvanshi and Tashev, \{I. J.\}",

year = "2019",

month = may,

day = "1",

doi = "10.1109/ICASSP.2019.8682951",

language = "English",

isbn = "978-1-4799-8132-8",

series = "Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing",

publisher = "IEEE",

pages = "231--235",

booktitle = "44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings",

address = "United States",

note = "IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP ; Conference date: 12-05-2019 Through 17-05-2019",

}

Genovese, AF, Gamper, H, Pulkki, V, Raghuvanshi, N & Tashev, IJ 2019, Blind Room Volume Estimation from Single-channel Noisy Speech. julkaisussa 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings., 8682951, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Sivut 231-235, IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton, Iso-Britannia, 12/05/2019. https://doi.org/10.1109/ICASSP.2019.8682951

Blind Room Volume Estimation from Single-channel Noisy Speech. / Genovese, A. F.; Gamper, H.; Pulkki, V. et al.
44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings. IEEE, 2019. s. 231-235 8682951 (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

T1 - Blind Room Volume Estimation from Single-channel Noisy Speech

AU - Genovese, A. F.

AU - Gamper, H.

AU - Pulkki, V.

AU - Raghuvanshi, N.

AU - Tashev, I. J.

N1 - Conference code: 44

PY - 2019/5/1

Y1 - 2019/5/1

N2 - Recent work on acoustic parameter estimation indicates that geometric room volume can be useful for modeling the character of an acoustic environment. However, estimating volume from audio signals remains a challenging problem. Here we propose using a convolutional neural network model to estimate the room volume blindly from reverberant single-channel speech signals in the presence of noise. The model is shown to produce estimates within approximately a factor of two to the true value, for rooms ranging in size from small offices to large concert halls.

AB - Recent work on acoustic parameter estimation indicates that geometric room volume can be useful for modeling the character of an acoustic environment. However, estimating volume from audio signals remains a challenging problem. Here we propose using a convolutional neural network model to estimate the room volume blindly from reverberant single-channel speech signals in the presence of noise. The model is shown to produce estimates within approximately a factor of two to the true value, for rooms ranging in size from small offices to large concert halls.

KW - Acoustics

KW - Volume measurement

KW - Training

KW - Solid modeling

KW - Noise measurement

KW - Data models

KW - Acoustic measurements

KW - Room acoustics

KW - room size

KW - non-intrusive parameter estimation

KW - signal processing

KW - convolutional neural network

UR - https://www.scopus.com/pages/publications/85069004621

U2 - 10.1109/ICASSP.2019.8682951

DO - 10.1109/ICASSP.2019.8682951

M3 - Conference article in proceedings

SN - 978-1-4799-8132-8

T3 - Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing

SP - 231

EP - 235

BT - 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings

PB - IEEE

T2 - IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 12 May 2019 through 17 May 2019

ER -

Genovese AF, Gamper H, Pulkki V, Raghuvanshi N, Tashev IJ. Blind Room Volume Estimation from Single-channel Noisy Speech. julkaisussa 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings. IEEE. 2019. s. 231-235. 8682951. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing). doi: 10.1109/ICASSP.2019.8682951

Blind Room Volume Estimation from Single-channel Noisy Speech

Abstrakti

Julkaisusarja

Conference

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