Add to ORKGin this paper, we introduced a text-depend speaker recognition by using wavelet transform under stressed conditions. Here we compare different feature such as ARC, LAR, LPCC, MFCC, CEP and after comparison we found that LPCC provides best feature. For decompose signal at two levels Discrete Wavelet Transform is used here. Discrete Wavelet Transform (DWT) based Linear Predictive Cepstral Coefficients (LPCC) used as a feature for recognized the speaker system. For classification Vector Quantization method is used. Four different stressed data has selected for (SUSAS) i.e. stress speech data base for speaker recognition. Improvement is achieved 93% and 94% in case of Lombard and Neutral case
An important application of speaker recognition is forensics. However, the accuracy of speaker recog...
The study proposes an improved feature extraction method that is called Wavelet Cepstral Coefficient...
Abstract — Wavelet transform multi-stage identification system is presented. This paper intends to i...
Abstract—This paper presents the effective and robust method for the feature extraction of the speak...
Abstract — Continuous and Discrete Wavelet Transform (WT) are used to create text-dependent robust t...
This paper depicts a new speech feature extraction technique for use in automatic speaker recognitio...
Speech recognition has many applications in various fields. One of the most important phase in speec...
Combining Mel Frequency Cepstral Coefficient with wavelet transform for feature extraction is not ne...
The domain area of this topic is Bio-metric. Speaker Recognition is biometric system. This paper dea...
[[abstract]]This paper presents an effective method for speaker identification system. Based on the ...
Speech recognition has many applications in various fields. One of the most important phase in speec...
The study proposes an improved feature extraction method that is called Wavelet Cepstral Coefficient...
The study proposes an improved feature extraction method that is called Wavelet Cepstral Coefficient...
In this paper, wavelet transform technique and neural network is used for development of Speak...
The automatic recognition and classification of speech under stress has applications in behavioural ...
An important application of speaker recognition is forensics. However, the accuracy of speaker recog...
The study proposes an improved feature extraction method that is called Wavelet Cepstral Coefficient...
Abstract — Wavelet transform multi-stage identification system is presented. This paper intends to i...
Abstract—This paper presents the effective and robust method for the feature extraction of the speak...
Abstract — Continuous and Discrete Wavelet Transform (WT) are used to create text-dependent robust t...
This paper depicts a new speech feature extraction technique for use in automatic speaker recognitio...
Speech recognition has many applications in various fields. One of the most important phase in speec...
Combining Mel Frequency Cepstral Coefficient with wavelet transform for feature extraction is not ne...
The domain area of this topic is Bio-metric. Speaker Recognition is biometric system. This paper dea...
[[abstract]]This paper presents an effective method for speaker identification system. Based on the ...
Speech recognition has many applications in various fields. One of the most important phase in speec...
The study proposes an improved feature extraction method that is called Wavelet Cepstral Coefficient...
The study proposes an improved feature extraction method that is called Wavelet Cepstral Coefficient...
In this paper, wavelet transform technique and neural network is used for development of Speak...
The automatic recognition and classification of speech under stress has applications in behavioural ...
An important application of speaker recognition is forensics. However, the accuracy of speaker recog...
The study proposes an improved feature extraction method that is called Wavelet Cepstral Coefficient...
Abstract — Wavelet transform multi-stage identification system is presented. This paper intends to i...