Add to ORKGRecently, a new parametrization technique based on the AR modelling of the one-sided autocorrelation sequence (OSALPC) has shown to be attractive for speech recognition because of its simplicity and its high recognition perfomance in noisy conditions. In this paper, that new parametrization technique is proposed to speaker identification in noisy enviroment. Experimental results obtained with a new speaker identification system based on the statistics of the cepstrals vectors show that OSALPC also achieves much better results than standard parametrization techniques.Peer Reviewe
System identification under noisy environment has axiomatic importance in numerous fields, such as c...
In this paper, we investigate on the role of dynamic information on the performances of AR-vector mo...
In this paper, we investigate on the role of dynamic information on the performances of AR-vector mo...
Recently, a new parametrization technique based on the AR modelling of the one-sided autocorrelation...
The OSALPC (One-Sided Autocorrelation Linear Predictive Coding) representation of the speech signal ...
The performance of the existing speech recognition systems degrades rapidly in the presence of backg...
Speech recognition in noisy environments remains an unsolved problem even in the case of isolated wo...
Speech recognition in noisy environments remains an unsolved problem, even in the case of isolated w...
Speech recognition in noisy environments remains an unsolved problem even in the case of isolated wo...
Speech recognition in noisy environments remains an unsolved problem, even in the case of isolated w...
The performance of the existing speech recognition systems degrades rapidly in the presence of backg...
[[abstract]]© 2005 Institute of Electrical and Electronics Engineers - This paper presents a robust ...
The performance of the existing speech recognition systems degrades rapidly in the presence of backg...
The article presents a robust representation of speech based on AR modeling of the causal part of th...
Automatic speech recognition has reached high level performances but it usually fails in coping with...
System identification under noisy environment has axiomatic importance in numerous fields, such as c...
In this paper, we investigate on the role of dynamic information on the performances of AR-vector mo...
In this paper, we investigate on the role of dynamic information on the performances of AR-vector mo...
Recently, a new parametrization technique based on the AR modelling of the one-sided autocorrelation...
The OSALPC (One-Sided Autocorrelation Linear Predictive Coding) representation of the speech signal ...
The performance of the existing speech recognition systems degrades rapidly in the presence of backg...
Speech recognition in noisy environments remains an unsolved problem even in the case of isolated wo...
Speech recognition in noisy environments remains an unsolved problem, even in the case of isolated w...
Speech recognition in noisy environments remains an unsolved problem even in the case of isolated wo...
Speech recognition in noisy environments remains an unsolved problem, even in the case of isolated w...
The performance of the existing speech recognition systems degrades rapidly in the presence of backg...
[[abstract]]© 2005 Institute of Electrical and Electronics Engineers - This paper presents a robust ...
The performance of the existing speech recognition systems degrades rapidly in the presence of backg...
The article presents a robust representation of speech based on AR modeling of the causal part of th...
Automatic speech recognition has reached high level performances but it usually fails in coping with...
System identification under noisy environment has axiomatic importance in numerous fields, such as c...
In this paper, we investigate on the role of dynamic information on the performances of AR-vector mo...
In this paper, we investigate on the role of dynamic information on the performances of AR-vector mo...