The RedDots platform for mobile crowd-sourcing of speech data

Kong Aik Lee; Guangsen Wang; Kam Pheng Ng; Hanwu Sun; Trung Hieu Nguyen; Ngoc Thuy Huong Thai; Bin Ma; Haizhou Li

The RedDots platform for mobile crowd-sourcing of speech data

Kong Aik Lee, Guangsen Wang, Kam Pheng Ng, Hanwu Sun, Trung Hieu Nguyen, Ngoc Thuy Huong Thai, Bin Ma, Haizhou Li

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

Abstract

With ever increasing computational power and availability of broadband connectivity to the Internet, mobile devices have become pervasive and gaining more popularity. Capitalizing on the mobile-Internet infrastructure, a speech data collection platform was developed as part of the RedDots project which is dedicated to the study of speaker recognition over mobile devices. The RedDots platform consists of a centralized Web server receiving inputs from the crowd through mobile devices. As of the time of this writing, we have recruited speakers from 17 countries in three-month period, showing the potential of the RedDots platform to collect speech data from the worldwide population.

Original language	English
Pages (from-to)	2603-2604
Number of pages	2
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

Mobile crowd sourcing platform
Speaker recognition
Speech corpus collection

ASJC Scopus subject areas

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

Cite this

@article{90e1ab32ee694bbbaac419b79857cb5b,

title = "The RedDots platform for mobile crowd-sourcing of speech data",

abstract = "With ever increasing computational power and availability of broadband connectivity to the Internet, mobile devices have become pervasive and gaining more popularity. Capitalizing on the mobile-Internet infrastructure, a speech data collection platform was developed as part of the RedDots project which is dedicated to the study of speaker recognition over mobile devices. The RedDots platform consists of a centralized Web server receiving inputs from the crowd through mobile devices. As of the time of this writing, we have recruited speakers from 17 countries in three-month period, showing the potential of the RedDots platform to collect speech data from the worldwide population.",

keywords = "Mobile crowd sourcing platform, Speaker recognition, Speech corpus collection",

author = "Lee, {Kong Aik} and Guangsen Wang and Ng, {Kam Pheng} and Hanwu Sun and Nguyen, {Trung Hieu} and Thai, {Ngoc Thuy Huong} and Bin Ma and Haizhou Li",

note = "Publisher Copyright: Copyright {\textcopyright} 2015 ISCA.; 16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015 ; Conference date: 06-09-2015 Through 10-09-2015",

year = "2015",

month = sep,

language = "English",

volume = "2015-January",

pages = "2603--2604",

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

issn = "2308-457X",

}

The RedDots platform for mobile crowd-sourcing of speech data. / Lee, Kong Aik; Wang, Guangsen; Ng, Kam Pheng et al.
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Vol. 2015-January, 09.2015, p. 2603-2604.

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

TY - JOUR

T1 - The RedDots platform for mobile crowd-sourcing of speech data

AU - Lee, Kong Aik

AU - Wang, Guangsen

AU - Ng, Kam Pheng

AU - Sun, Hanwu

AU - Nguyen, Trung Hieu

AU - Thai, Ngoc Thuy Huong

AU - Ma, Bin

AU - Li, Haizhou

PY - 2015/9

Y1 - 2015/9

N2 - With ever increasing computational power and availability of broadband connectivity to the Internet, mobile devices have become pervasive and gaining more popularity. Capitalizing on the mobile-Internet infrastructure, a speech data collection platform was developed as part of the RedDots project which is dedicated to the study of speaker recognition over mobile devices. The RedDots platform consists of a centralized Web server receiving inputs from the crowd through mobile devices. As of the time of this writing, we have recruited speakers from 17 countries in three-month period, showing the potential of the RedDots platform to collect speech data from the worldwide population.

AB - With ever increasing computational power and availability of broadband connectivity to the Internet, mobile devices have become pervasive and gaining more popularity. Capitalizing on the mobile-Internet infrastructure, a speech data collection platform was developed as part of the RedDots project which is dedicated to the study of speaker recognition over mobile devices. The RedDots platform consists of a centralized Web server receiving inputs from the crowd through mobile devices. As of the time of this writing, we have recruited speakers from 17 countries in three-month period, showing the potential of the RedDots platform to collect speech data from the worldwide population.

KW - Mobile crowd sourcing platform

KW - Speaker recognition

KW - Speech corpus collection

UR - http://www.scopus.com/inward/record.url?scp=84959090326&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84959090326

SN - 2308-457X

VL - 2015-January

SP - 2603

EP - 2604

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 platform for mobile crowd-sourcing of speech data

Abstract

Keywords

ASJC Scopus subject areas

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