Detail publikace

Impact of vocal effort variability on automatic speech recognition

ZELINKA, P. SIGMUND, M. SCHIMMEL, J.

Originální název

Impact of vocal effort variability on automatic speech recognition

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

The impact of changes in a speaker's vocal effort on the performance of automatic speech recognition has largely been overlooked by researchers and virtually no speech resources exist for the development and testing of speech recognizers at all vocal effort levels. This study deals with speech properties in the whole range of vocal modes – whispering, soft speech, normal speech, loud speech, and shouting. Fundamental acoustic and phonetic changes are documented. The impact of vocal effort variability on the performance of an isolated-word recognizer is shown and effective means of improving the system's robustness are tested. The proposed multiple model framework approach reaches a 50% relative reduction of word error rate compared to the baseline system. A new specialized speech database, BUT-VE1, is presented, which contains speech recordings of 13 speakers at 5 vocal effort levels with manual phonetic segmentation and sound pressure level calibration.

Klíčová slova

Vocal effort level, robust speech recognition, machine learning

Autoři

ZELINKA, P.; SIGMUND, M.; SCHIMMEL, J.

Rok RIV

2012

Vydáno

5. 7. 2012

Nakladatel

Elsevier

ISSN

0167-6393

Periodikum

Speech Communication

Ročník

54

Číslo

6

Stát

Nizozemsko

Strany od

732

Strany do

742

Strany počet

11

URL

http://dx.doi.org/10.1016/j.specom.2012.01.002

BibTex

@article{BUT88839,
  author="Petr {Zelinka} and Milan {Sigmund} and Jiří {Schimmel}",
  title="Impact of vocal effort variability on automatic speech recognition",
  journal="Speech Communication",
  year="2012",
  volume="54",
  number="6",
  pages="732--742",
  issn="0167-6393",
  url="http://dx.doi.org/10.1016/j.specom.2012.01.002"
}