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130
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ICASSP
2010
IEEE
15 years 3 months ago
Speaker identification by combining MFCC and phase information in noisy environments
In conventional speaker recognition methods based on MFCC, the phase information has been ignored. Recently, we proposed a method that integrated MFCC with the phase information o...
Longbiao Wang, Kazue Minami, Kazumasa Yamamoto, Se...
110
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Parametric dictionary learning using steepest descent
In this paper, we suggest to use a steepest descent algorithm for learning a parametric dictionary in which the structure or atom functions are known in advance. The structure of ...
Mahdi Ataee, Hadi Zayyani, Massoud Babaie-Zadeh, C...
141
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Variational nonparametric Bayesian Hidden Markov Model
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
Nan Ding, Zhijian Ou
135
Voted
AC
2010
Springer
15 years 3 months ago
Features for Content-Based Audio Retrieval
Today, a large number of audio features exists in audio retrieval for different purposes, such as automatic speech recognition, music information retrieval, audio segmentation, an...
Dalibor Mitrovic, Matthias Zeppelzauer, Christian ...
100
Voted
IAJIT
2010
215views more  IAJIT 2010»
15 years 2 months ago
Voice Disorders Identification Using Multilayer Neural Network
: In this paper we present a new method for voice disorders classification based on multilayer neural network. The processing algorithm is based on a hybrid technique which uses th...
Lotfi Salhi, Talbi Mourad, Adnene Cherif