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Output details

11 - Computer Science and Informatics

Birmingham City University

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Output 17 of 30 in the submission

Article title

Incorporating the Voicing Information into HMM-based Automatic Speech Recognition in Noisy Environments

Type

D - Journal article

DOI

10.1016/j.specom.2009.01.003

Title of journal

Speech Communication

Article number

Volume number

Issue number

First page of article

438

ISSN of journal

0167-6393

Year of publication

2009

URL

http://www.sciencedirect.com/science/article/pii/S0167639309000053

Number of additional authors

Additional information

<22> All current speech technology research in some way exploits the so-called source-filter model of speech. This paper, in a highly reputable speech science and technology journal, presents an advancement of knowledge on automatic estimation of the source characteristics of speech signals that has been omitted in research so far. For the first time this paper presents a method for estimation of the voicing characteristics of speech for individual frequency regions and its incorporation into automatic speech recognition. This work was one of the outcomes of the £115k EPSRC funding and helped to enable another £356k EPSRC funding.

Interdisciplinary

Cross-referral requested

Research group

2 - Digital Media Technology

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract