You are in : Home » Results & submissions » Select UOA » 13 - Electrical and Electronic Engineering, Metallurgy and Materials » View submission: University of Birmingham : A - Electronic, Electrical and computer engineering » Outputs » Detail

Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Birmingham : A - Electronic, Electrical and computer engineering

Return to search Previous output Next output

Output 0 of 0 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

Number of additional authors

Additional information

All current speech technology research in some way exploits the so-called source-filter model of speech. This paper, in one of the world leading speech science and technology journals, presents a new approach to the automatic estimation of the source characteristics of speech signals and its incorporation into automatic speech recognition. For the first time, the source characteristics of speech can be estimated and modeled for individual frequency regions. This work was one of the outcomes of £115k EPSRC ‘first grant’ funding and helped to enable another £356k EPSRC responsive mode funding.

Interdisciplinary

Cross-referral requested

Research group

B - Human Computer Interaction

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract