Add to ORKGA method based on linear logistic regression was proposed in this paper, which fused the scores for pitch and MFCC feature to discriminate the speaker's gender. The voicebox for this paper included 150 speech signals of male and 190 speech signals of female. Experimental results show that the recognition rate can be as high as 97.65%, higher than that based on the traditional single fundamental frequency or MFCC feature, with better distinguish performance.EI0SUPPL.I184-1874
The paper presents the simple technique of speaker gender recognition that uses MFCC features typica...
-Gender classification is widely used in automatic speech recognition systems to recognize a speaker...
Algorithms for recognition of a speaker’s gender based on the use of the Cauchy distribution in the ...
A speaker gender identification method was presented based on the contribution of MFCC (Mel frequenc...
This paper present a novel speaker gender recognition method under complex scene which effectively c...
Gender discrimination and awareness are essentially practiced in social, education, workplace, and e...
Speech is a communication between humans using variety of language that is translated into word, phr...
Gender is an important demographic attribute of people. With the evolution in modern technologies in...
A novel gender classification system has been proposed based on Gaussian Mixture Models, which apply...
An algorithm involving MFCCs and SVMs is provided to perform speaker gender recognition. For each si...
This paper presents the estimation of accuracy in male, female, and transgender identification using...
Gender voice recognition stands for an imperative research field in acoustics and speech processing ...
An automatic categorization of the speakers according to their sex improves the performance of an au...
This paper designed to predict the gender of a speaker from the voice. It has a variety of applicati...
Speech recognition applications are becoming more and more useful nowadays. Before this technology i...
The paper presents the simple technique of speaker gender recognition that uses MFCC features typica...
-Gender classification is widely used in automatic speech recognition systems to recognize a speaker...
Algorithms for recognition of a speaker’s gender based on the use of the Cauchy distribution in the ...
A speaker gender identification method was presented based on the contribution of MFCC (Mel frequenc...
This paper present a novel speaker gender recognition method under complex scene which effectively c...
Gender discrimination and awareness are essentially practiced in social, education, workplace, and e...
Speech is a communication between humans using variety of language that is translated into word, phr...
Gender is an important demographic attribute of people. With the evolution in modern technologies in...
A novel gender classification system has been proposed based on Gaussian Mixture Models, which apply...
An algorithm involving MFCCs and SVMs is provided to perform speaker gender recognition. For each si...
This paper presents the estimation of accuracy in male, female, and transgender identification using...
Gender voice recognition stands for an imperative research field in acoustics and speech processing ...
An automatic categorization of the speakers according to their sex improves the performance of an au...
This paper designed to predict the gender of a speaker from the voice. It has a variety of applicati...
Speech recognition applications are becoming more and more useful nowadays. Before this technology i...
The paper presents the simple technique of speaker gender recognition that uses MFCC features typica...
-Gender classification is widely used in automatic speech recognition systems to recognize a speaker...
Algorithms for recognition of a speaker’s gender based on the use of the Cauchy distribution in the ...