In this paper we present a new wavelet-based algorithm for low-cost computation of the cepstrum. It can be used for real time precise pitch determination in automatic speech and speaker recognition systems. Many wavelet families are examined to determine the one that works best. The results confirm the efficacy and accuracy of the proposed technique for pitch extraction. (C) 2008 Elsevier B.V. All rights reserved
This paper shows the implementation of different algorithms that are used to detect audio patterns. ...
The study proposes an improved feature extraction method that is called Wavelet Cepstral Coefficient...
Speech activated interface between human and autonomous/semi-autonomous systems requires accurate vo...
AbstractIn this paper we present a new wavelet-based algorithm for low-cost computation of the cepst...
In this paper we present a new wavelet-based algorithm for low-cost computation of the cepstrum. It ...
Abstract—In the current paper, we propose a new pitch tracking technique based on a wavelet transfor...
International audienceA new wavelet-based method is presented in this work for estimating and tracki...
International audienceIn the current paper, we propose a new pitch tracking technique based on a wav...
AbstractA computationally efficient model for pitch estimation of mixed audio signals is presented. ...
A computationally efficient model for pitch estimation of mixed audio signals is presented. Pitch es...
Abstract: Pitch frequency is the fundamental frequency of a speech signal. It is one of the most imp...
An event detection pitch detector based on the dyadic wavelet transform is described. The proposed p...
A novel cepstral function, the cepstrum (CEP) of the one-sided autocorrelation sequence (COSA), is p...
Este trabalho apresenta um estudo comparativo entre diferentes famílias de transformada Wavelet apli...
Abstract. This paper presents a simple speaker identication and classi-cation algorithm. The algorit...
This paper shows the implementation of different algorithms that are used to detect audio patterns. ...
The study proposes an improved feature extraction method that is called Wavelet Cepstral Coefficient...
Speech activated interface between human and autonomous/semi-autonomous systems requires accurate vo...
AbstractIn this paper we present a new wavelet-based algorithm for low-cost computation of the cepst...
In this paper we present a new wavelet-based algorithm for low-cost computation of the cepstrum. It ...
Abstract—In the current paper, we propose a new pitch tracking technique based on a wavelet transfor...
International audienceA new wavelet-based method is presented in this work for estimating and tracki...
International audienceIn the current paper, we propose a new pitch tracking technique based on a wav...
AbstractA computationally efficient model for pitch estimation of mixed audio signals is presented. ...
A computationally efficient model for pitch estimation of mixed audio signals is presented. Pitch es...
Abstract: Pitch frequency is the fundamental frequency of a speech signal. It is one of the most imp...
An event detection pitch detector based on the dyadic wavelet transform is described. The proposed p...
A novel cepstral function, the cepstrum (CEP) of the one-sided autocorrelation sequence (COSA), is p...
Este trabalho apresenta um estudo comparativo entre diferentes famílias de transformada Wavelet apli...
Abstract. This paper presents a simple speaker identication and classi-cation algorithm. The algorit...
This paper shows the implementation of different algorithms that are used to detect audio patterns. ...
The study proposes an improved feature extraction method that is called Wavelet Cepstral Coefficient...
Speech activated interface between human and autonomous/semi-autonomous systems requires accurate vo...