|
Web
Education
Viewing 1-7 of 7 total results
A Gaussian Clustering Based Voice Activity Detector for ...
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In this paper, a voice activity detector is proposed on the basis of Gaussian modeling of noise in the spectro-temporal space. Spectro-temporal space is obtained from auditory cortical processing. The auditory model that offers a multidimensional picture of the sound includes two stages: the initial stage is a model ......
A Novel Voice Activity Detector for Noisy Environments ...
In this paper, a voice activity detector is proposed on the basis of Gaussian modeling of noise in the spectro-temporal space. Spectro-temporal space is obtained from auditory cortical processing. The auditory model that offers a multi-dimensional picture of the sound includes two stages: the initial stage is a model of inner ear and the second stage is the auditory central cortical modeling ......
A Gaussian Clustering Based Voice Activity Detector for ...
In this paper, a voice activity detector is proposed on the basis of Gaussian modeling of noise in the spectro-temporal space. Spectro-temporal space is obtained from auditory cortical processing. The auditory model that offers a multidimensional picture of the sound includes two stages: the initial stage is a model of inner ear and the second ......
A Gaussian Clustering Based Voice Activity Detector for ...
A Gaussian Clustering Based Voice Activity Detector for Noisy Environments Using Spectro-Temporal Domain . By Sara Valipour, Farbod Razzazi and Azim Fard. Abstract. In this paper, a voice activity detector is proposed on the basis of Gaussian modeling of noise in the spectro-temporal space. Spectro-temporal space is obtained from auditory ......
Speech discrimination based on multiscale spectro-temporal ...
In this paper, a voice activity detector is proposed on the basis of Gaussian modeling of noise in the spectro-temporal space. Spectro-temporal space is obtained from auditory cortical processing.
A clustering based feature selection method in spectro ...
In this paper, a new clustering based method is proposed for secondary feature selection/extraction in the spectro-temporal domain. In the proposed representation, Gaussian mixture models (GMM) and weighted K-means (WKM) clustering techniques are applied to spectro-temporal domain to reduce the dimensions of the features space. The elements of ......
Spectro-temporal modulation energy based mask for robust ...
Spectro-temporal modulations of speech encode speech structures and speaker characteristics. An algorithm which distinguishes speech from non-speech based on spectro-temporal modulation energies is proposed and evaluated in robust text-independent closed-set speaker identification simulations using the TIMIT and GRID corpora. Simulation results show the proposed method produces much higher ......
|
