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Analysis of Natural Speech under Stress

100%
Demenko G., Jastrzębska M.
Acta Physica Polonica A
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2012
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vol. 121
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issue 1A
A-92-A-95
EN
This paper presents how voice stress is manifested in the acoustic and phonetic structure of the speech signal. Out of 60000 authentic Police 997 emergency phone calls, 22000 were automatically selected, a few hundred of which were chosen for acoustic evaluation, the basis for selection being a perceptual assessment. In highly stressful conditions (e.g. panic) a systematic dynamic over-one-octave shift in pitch and significant increase in speech tempo was observed. In states of depression a systematic down shift in pitch and significant decrease in speech tempo was observed. Basic statistical measurements for stressed and neutral speech run over the database showed the relevance of the arousal and potency dimension in stress processing. In speech produced under fear an upward shift in pitch register was significant (in comparison to neutral speech), while speech recorded during experiencing anger was characterized by an increase in F_0 range.
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Implementation of Polish speech synthesis for the BOSS system

81%
Demenko G., Möbius B., Klessa K.
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2010
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issue 3
3
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Development of Large Vocabulary Continuous Speech Recognition for Polish

52%
Demenko G., Szymański M., Cecko R., Kuśmierek E., Lange M., Wegner K., Klessa K., Owsianny M.
Acta Physica Polonica A
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2012
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vol. 121
|
issue 1A
A-86-A-91
EN
In this study, the results of acoustic modeling used in a large vocabulary continuous speech recognition system are presented. The acoustic models have been developed with the use of a phonetically controlled large corpus of contemporary spoken Polish. Evaluation experiments showed that relatively good speech recognition results may be obtained with adequate training material, taking into account: (a) the presence of lexical stress; (b) speech styles (a variety of segmental and prosodic structures, various degrees of spontaneity of speech (spontaneous vs. read speech), pronunciation variants and dialects); (c) the influence of the sound level and background noises. The present large vocabulary continuous speech recognition evaluation results were obtained with Sclite assessment software. Moreover, the article delivers information about the speech corpus structure and contents and also a brief outline of the design and architecture of the automatic speech recognition system.
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