Gender Recognition System Using Speech Signal
نویسندگان
چکیده
منابع مشابه
Gender Recognition System Using Speech Signal
In this paper, a system, developed for speech encoding, analysis, synthesis and gender identification is presented. A typical gender recognition system can be divided into front-end system and back-end system. The task of the front-end system is to extract the gender related information from a speech signal and represents it by a set of vectors called feature. Features like power spectrum densi...
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In this paper an estimator for speech enhancement based on Laplacian Mixture Model has been proposed. The proposed method, estimates the complex DFT coefficients of clean speech from noisy speech using the MMSE estimator, when the clean speech DFT coefficients are supposed mixture of Laplacians and the DFT coefficients of noise are assumed zero-mean Gaussian distribution. Furthermore, the MMS...
متن کاملEffect of Gender on Improving Speech Recognition System
Speech is the output of a time varying excitation excited by a time varying system. It generates pulses with fundamental frequency F0. This time varying impulse trained as one of the features, characterized by fundamental frequencyF0and its formant frequencies. These features vary from one speaker to another speaker and from gender to gender also. In this paper the effect of gender on improving...
متن کاملEffect of Gender on Improving Speech Recognition System
Speech is the output of a time varying excitation excited by a time varying system. It generates pulses with fundamental frequency F0. This time varying impulse trained as one of the features, characterized by fundamental frequencyF0and its formant frequencies. These features vary from one speaker to another speaker and from gender to gender also. In this paper the effect of gender on improving...
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This paper presents and discusses an approach to automatic gender distinction in a short segment of normally spoken continuous speech. In order to see which phonemes are effective for gender recognition, we analyzed individual vowels. Two different simple identifiers based on selected mel-frequency cepstral coefficients were evaluated. Using vowel phonemes, we achieved in short-time analysis (2...
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ژورنال
عنوان ژورنال: International Journal of Computer Science, Engineering and Information Technology
سال: 2012
ISSN: 2231-3605
DOI: 10.5121/ijcseit.2012.2101