Nonlinear feature based classification of speech under stress
نویسندگان
چکیده
منابع مشابه
Nonlinear feature based classification of speech under stress
Studies have shown that variability introduced by stress or emotion can severely reduce speech recognition accuracy. Techniques for detecting or assessing the presence of stress could help improve the robustness of speech recognition systems. Although some acoustic variables derived from linear speech production theory have been investigated as indicators of stress, they are not always consiste...
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This study proposes a new set of feature parameters based on subband analysis of the speech signal for classi cation of speech under stress. The new speech features are Scale Energy (SE), Autocorrelation-Scale-Energy (ACSE), Subband based cepstral parameters (SC), and Autocorrelation-SC (ACSC). The parameters' ability to capture di erent stress types is compared to widely used Mel-scale cepstru...
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There are many stressful environments which deteriorate the performance of speech recognition systems. Examples include aircraft cockpits, 911 emergency telephone response, high workload task stress, or emotional situations. To address this, we investigate a number of linear and nonlinear features and processing methods for stressed speech classi cation. The linear features include properties o...
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It is well known that the variability in speech production due to task induced stress contributes signiicantly to loss in speech processing algorithm performance. If an algorithm could be formulated which detects the presence of stress in speech, then such knowledge could be used to monitor speaker state, improve the naturalness of speech coding algorithms, or increase the robustness of speech ...
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The determination of an emotional state through speech increases the amount of information associated with a speaker. It is therefore important to be able to detect and identify a speaker's emotional state or state of stress. Various techniques are used in the literature to classify emotional/stressed states on the basis of speech, often using di erent speech feature vectors at the same time. T...
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ژورنال
عنوان ژورنال: IEEE Transactions on Speech and Audio Processing
سال: 2001
ISSN: 1063-6676
DOI: 10.1109/89.905995