Estimating speaking rate in spontaneous discourse

Yishan Jiao; Visar Berisha; Ming Tu; Timothy Huston; Julie Liss

doi:10.1109/ACSSC.2015.7421328

Estimating speaking rate in spontaneous discourse

Yishan Jiao, Visar Berisha, Ming Tu, Timothy Huston, Julie Liss

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

2 Scopus citations

Abstract

In this paper we consider the problem of estimating the speaking rate directly from the speech waveform. We propose an algorithm that poses the speaking rate estimation problem as a convex optimization problem. In contrast to existing methods, we avoid the more difficult task of detecting individual syllables within the speech signal and we avoid heuristics like thresholding a loudness function. The algorithm was evaluated on the ICSI Switchboard spontaneous speech corpus and a speech corpus obtained from publicly-available interviews on Youtube.

Original language	English (US)
Title of host publication	Conference Record - Asilomar Conference on Signals, Systems and Computers
Publisher	IEEE Computer Society
Pages	1189-1192
Number of pages	4
Volume	2016-February
ISBN (Print)	9781467385763
DOIs	https://doi.org/10.1109/ACSSC.2015.7421328
State	Published - Feb 26 2016
Event	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States Duration: Nov 8 2015 → Nov 11 2015

Other

Other	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Country/Territory	United States
City	Pacific Grove
Period	11/8/15 → 11/11/15

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing

Access to Document

10.1109/ACSSC.2015.7421328

Cite this

Jiao, Y, Berisha, V, Tu, M, Huston, T & Liss, J 2016, Estimating speaking rate in spontaneous discourse. in Conference Record - Asilomar Conference on Signals, Systems and Computers. vol. 2016-February, 7421328, IEEE Computer Society, pp. 1189-1192, 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015, Pacific Grove, United States, 11/8/15. https://doi.org/10.1109/ACSSC.2015.7421328

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author = "Yishan Jiao and Visar Berisha and Ming Tu and Timothy Huston and Julie Liss",

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AU - Tu, Ming

AU - Huston, Timothy

AU - Liss, Julie

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N2 - In this paper we consider the problem of estimating the speaking rate directly from the speech waveform. We propose an algorithm that poses the speaking rate estimation problem as a convex optimization problem. In contrast to existing methods, we avoid the more difficult task of detecting individual syllables within the speech signal and we avoid heuristics like thresholding a loudness function. The algorithm was evaluated on the ICSI Switchboard spontaneous speech corpus and a speech corpus obtained from publicly-available interviews on Youtube.

AB - In this paper we consider the problem of estimating the speaking rate directly from the speech waveform. We propose an algorithm that poses the speaking rate estimation problem as a convex optimization problem. In contrast to existing methods, we avoid the more difficult task of detecting individual syllables within the speech signal and we avoid heuristics like thresholding a loudness function. The algorithm was evaluated on the ICSI Switchboard spontaneous speech corpus and a speech corpus obtained from publicly-available interviews on Youtube.

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DO - 10.1109/ACSSC.2015.7421328

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SN - 9781467385763

VL - 2016-February

SP - 1189

EP - 1192

BT - Conference Record - Asilomar Conference on Signals, Systems and Computers

PB - IEEE Computer Society

T2 - 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015

Y2 - 8 November 2015 through 11 November 2015

ER -

Estimating speaking rate in spontaneous discourse

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