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The aim of our work is to develop the software for caller identification or to create his characteristic by analysis of his voice. Based on collected speech samples, our system aims to identify emergency callers both on-line and off-line. This homeland security project covers speaker recognition (when speaker's speech sample is known), speaker's gender, age detection and recognition of emotions. Proposed...
The paper presents an approach to automatic recognition of emotions in speech signals. The applied method bases on the composition of two discrete frequency transformations. The wavelet transform was calculated first and next the Fourier transform was applied. The Fourier-wavelet transform representation is used to find the differences between emotions in speech signals. A set of approximately 30...
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