Voice Analysis and Noise Filtering |
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Voice comparison, voice analysis and filtering of background noise |
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This motivated me to develop two computer-aided methods and/or computer programs for an improved evaluation of speech transmissions and for voice analysis and voice comparison. One method makes it possible to filter background noises and thus resulting in much better understanding of speech signals. The other method allows proof of identity or difference of two voices. (voice analysis or voice comparison) |
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The basic principle for both methods is the theory that human speech can be interpreted as a one-dimensional structure, thus making it possible to apply new scientific findings and methods from real structural research, signal analysis and spectral analysis respectively. In both methods the speech signal or speech structure is interpreted as a real structure. In the frequency domain a real structure consists of periodic and diffuse parts. The disturbance through background noise in a speech recording is caused by an overlapping of noise components. Through several fourier deconvolution operations these noise components can be removed from the real structure (noisy speech), without distorting the speech itself. |
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The interpretation of recorded speech as a structure or signal also allows the structure of the human voice to be defined and characterized, for the digitized voice signal or the voice structure respectively contains all characteristics of the human voice. Through physical-mathematical methods, these characteristics can be extracted to calculate a voice profile (voiceprint). In this way, voice comparison can be accomplished. Prerequisite for this is a representative duration (approx. 60-80 seconds) of undisturbed speech recording. |