The RedDots data collection for speaker recognition

Kong Aik Lee; Anthony Larcher; Guangsen Wang; Patrick Kenny; Niko Brümmer; David Van Leeuwen; Hagai Aronowitz; Marcel Kockmann; Carlos Vaquero; Bin Ma; Haizhou Li; Themos Stafylakis; Jahangir Alam; Albert Swart; Javier Perez

The RedDots data collection for speaker recognition

Kong Aik Lee, Anthony Larcher, Guangsen Wang, Patrick Kenny, Niko Brümmer, David Van Leeuwen, Hagai Aronowitz, Marcel Kockmann, Carlos Vaquero, Bin Ma, Haizhou Li, Themos Stafylakis, Jahangir Alam, Albert Swart, Javier Perez

Research output: Journal article publication › Conference article › Academic research › peer-review

136 Citations (Scopus)

Abstract

This paper describes data collection efforts conducted as part of the RedDots project which is dedicated to the study of speaker recognition under conditions where test utterances are of short duration and of variable phonetic content. At the current stage, we focus on English speakers, both native and non-native, recruited worldwide. This is made possible through the use of a recording front-end consisting of an application running on mobile devices communicating with a centralized web server at the back-end. Speech recordings are collected by having speakers read text prompts displayed on the screen of the mobile devices. We aim to collect a large number of sessions from each speaker over a long time span, typically one session per week over a one year period. The corpus is expected to include rich inter-speaker and intra-speaker variations, both intrinsic and extrinsic (that is, due to recording channel and acoustic environment).

Original language	English
Pages (from-to)	2996-3000
Number of pages	5
Journal	Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Volume	2015-January
Publication status	Published - Sept 2015
Externally published	Yes
Event	16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015 - Dresden, Germany Duration: 6 Sept 2015 → 10 Sept 2015

Keywords

Corpus collection
Crowd sourcing
Speaker recognition

ASJC Scopus subject areas

Language and Linguistics
Human-Computer Interaction
Signal Processing
Software
Modelling and Simulation

Cite this

Lee, K. A., Larcher, A., Wang, G., Kenny, P., Brümmer, N., Van Leeuwen, D., Aronowitz, H., Kockmann, M., Vaquero, C., Ma, B., Li, H., Stafylakis, T., Alam, J., Swart, A., & Perez, J. (2015). The RedDots data collection for speaker recognition. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2015-January, 2996-3000.

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abstract = "This paper describes data collection efforts conducted as part of the RedDots project which is dedicated to the study of speaker recognition under conditions where test utterances are of short duration and of variable phonetic content. At the current stage, we focus on English speakers, both native and non-native, recruited worldwide. This is made possible through the use of a recording front-end consisting of an application running on mobile devices communicating with a centralized web server at the back-end. Speech recordings are collected by having speakers read text prompts displayed on the screen of the mobile devices. We aim to collect a large number of sessions from each speaker over a long time span, typically one session per week over a one year period. The corpus is expected to include rich inter-speaker and intra-speaker variations, both intrinsic and extrinsic (that is, due to recording channel and acoustic environment).",

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year = "2015",

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language = "English",

volume = "2015-January",

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

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AU - Lee, Kong Aik

AU - Larcher, Anthony

AU - Wang, Guangsen

AU - Kenny, Patrick

AU - Brümmer, Niko

AU - Van Leeuwen, David

AU - Aronowitz, Hagai

AU - Kockmann, Marcel

AU - Vaquero, Carlos

AU - Ma, Bin

AU - Li, Haizhou

AU - Stafylakis, Themos

AU - Alam, Jahangir

AU - Swart, Albert

AU - Perez, Javier

PY - 2015/9

Y1 - 2015/9

N2 - This paper describes data collection efforts conducted as part of the RedDots project which is dedicated to the study of speaker recognition under conditions where test utterances are of short duration and of variable phonetic content. At the current stage, we focus on English speakers, both native and non-native, recruited worldwide. This is made possible through the use of a recording front-end consisting of an application running on mobile devices communicating with a centralized web server at the back-end. Speech recordings are collected by having speakers read text prompts displayed on the screen of the mobile devices. We aim to collect a large number of sessions from each speaker over a long time span, typically one session per week over a one year period. The corpus is expected to include rich inter-speaker and intra-speaker variations, both intrinsic and extrinsic (that is, due to recording channel and acoustic environment).

AB - This paper describes data collection efforts conducted as part of the RedDots project which is dedicated to the study of speaker recognition under conditions where test utterances are of short duration and of variable phonetic content. At the current stage, we focus on English speakers, both native and non-native, recruited worldwide. This is made possible through the use of a recording front-end consisting of an application running on mobile devices communicating with a centralized web server at the back-end. Speech recordings are collected by having speakers read text prompts displayed on the screen of the mobile devices. We aim to collect a large number of sessions from each speaker over a long time span, typically one session per week over a one year period. The corpus is expected to include rich inter-speaker and intra-speaker variations, both intrinsic and extrinsic (that is, due to recording channel and acoustic environment).

KW - Corpus collection

KW - Crowd sourcing

KW - Speaker recognition

UR - https://www.scopus.com/pages/publications/84959153869

M3 - Conference article

AN - SCOPUS:84959153869

SN - 2308-457X

VL - 2015-January

SP - 2996

EP - 3000

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

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

T2 - 16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015

Y2 - 6 September 2015 through 10 September 2015

ER -

The RedDots data collection for speaker recognition

Abstract

Keywords

ASJC Scopus subject areas

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