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A new method for speech denoinsing and speeker recognition applied to cochlear protheses

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TL;DRAbstract

The systems of automatic words recognitions are not stopping to evolve and to present significant performances. In this paper, we present a treatment of speech intended to the cochlear prostheses. The technique used for this approach is the subbands speech recognition, the general principle is to split the whole frequency domain into several subbands on which statistical recognizers are independently applied. We also study which information is really used to recognize speakers. Nevertheless, the extent of the calculations is very important and complex in particular to the classification phase. We are interested to the sturdiness of the parameterisation technique cepstral coding and to the classification by the HMMs models.

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The systems of automatic words recognitions are not stopping to evolve and to present significant performances. In this paper, we present a treatment of speech intended to the cochlear prostheses. The technique used for this approach is the subbands speech recognition, the general principle is to split the whole frequency domain into several subbands on which statistical recognizers are independently applied. We also study which information is really used to recognize speakers. Nevertheless, the extent of the calculations is very important and complex in particular to the classification phase. We are interested to the sturdiness of the parameterisation technique cepstral coding and to the classification by the HMMs models.

Keywords

Speech recognitionComputer scienceCepstrumCoding (social sciences)Artificial intelligenceSpeech processingPattern recognition (psychology)Natural language processing

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