Detail publikace

Analysis of Speech under Stress Based on Short-Time Spectrum of Vowel Phonemes

Originální název

Analysis of Speech under Stress Based on Short-Time Spectrum of Vowel Phonemes

Anglický název

Analysis of Speech under Stress Based on Short-Time Spectrum of Vowel Phonemes

Jazyk

en

Originální abstrakt

This paper deals with speech signal spoken by speaker under stress. The investigation of speaker's stress is based on specific changes in short-time spectrum of vowel phonemes. For each selected signal segment, the spectrum was computed by means of two different approaches: Fourier transform and chirp transform. Comparative results between both spectra served for speaker's stress identification. In case of speech under stress, the obtained spectra differ towards the higher frequencies due to enhanced pitch modulation.

Anglický abstrakt

This paper deals with speech signal spoken by speaker under stress. The investigation of speaker's stress is based on specific changes in short-time spectrum of vowel phonemes. For each selected signal segment, the spectrum was computed by means of two different approaches: Fourier transform and chirp transform. Comparative results between both spectra served for speaker's stress identification. In case of speech under stress, the obtained spectra differ towards the higher frequencies due to enhanced pitch modulation.

BibTex


@inproceedings{BUT28984,
  author="Milan {Sigmund} and Zdeněk {Brabec}",
  title="Analysis of Speech under Stress Based on Short-Time Spectrum of Vowel Phonemes",
  annote="This paper deals with speech signal spoken by speaker under stress. The investigation of speaker's stress is based on specific changes in short-time spectrum of vowel phonemes. For each selected signal segment, the spectrum was computed by means of two different approaches: Fourier transform and chirp transform. Comparative results between both spectra served for speaker's stress identification. In case of speech under stress, the obtained spectra differ towards the higher frequencies due to enhanced pitch modulation.",
  address="IASTED",
  booktitle="Proceedings of IASTED International Multi-Conference on Applied Informatics, part Artificial Intelligence and Applications",
  chapter="28984",
  edition="1",
  howpublished="print",
  institution="IASTED",
  year="2009",
  month="december",
  pages="77--81",
  publisher="IASTED",
  type="conference paper"
}