Add to ORKGThe article presents a robust representation of speech based on AR modeling of the causal part of the autocorrelation sequence. In noisy speech recognition, this new representation achieves better results than several other related techniques.Peer Reviewe
This paper introduces the Autocorrelation Function Modelling method (AFM) for speech analysis. It ha...
Abstract Autocorrelation domain is a proper domain for clean speech signal and noise separation. In ...
A modified autocorrelation method of linear prediction is proposed for pitch-synchronous analysis of...
The article presents a robust representation of speech based on AR modeling of the causal part of th...
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 wo...
[[abstract]]© 1999 Elsevier - This paper introduces a new representation of speech that is invariant...
One major concern in the design of speech recognition systems is their performance in real environme...
Previous research has found autocorrelation domain as an appropriate domain for signal and noise sep...
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 w...
The OSALPC (One-Sided Autocorrelation Linear Predictive Coding) representation of the speech signal ...
This paper presents a new front-end for robust speech recognition. This new front-end scenario focus...
In this paper, we introduce a new class of noise robust features derived from an alternative measure...
Recently, a new parametrization technique based on the AR modelling of the one-sided autocorrelation...
This paper introduces the Autocorrelation Function Modelling method (AFM) for speech analysis. It ha...
Abstract Autocorrelation domain is a proper domain for clean speech signal and noise separation. In ...
A modified autocorrelation method of linear prediction is proposed for pitch-synchronous analysis of...
The article presents a robust representation of speech based on AR modeling of the causal part of th...
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 wo...
[[abstract]]© 1999 Elsevier - This paper introduces a new representation of speech that is invariant...
One major concern in the design of speech recognition systems is their performance in real environme...
Previous research has found autocorrelation domain as an appropriate domain for signal and noise sep...
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 w...
The OSALPC (One-Sided Autocorrelation Linear Predictive Coding) representation of the speech signal ...
This paper presents a new front-end for robust speech recognition. This new front-end scenario focus...
In this paper, we introduce a new class of noise robust features derived from an alternative measure...
Recently, a new parametrization technique based on the AR modelling of the one-sided autocorrelation...
This paper introduces the Autocorrelation Function Modelling method (AFM) for speech analysis. It ha...
Abstract Autocorrelation domain is a proper domain for clean speech signal and noise separation. In ...
A modified autocorrelation method of linear prediction is proposed for pitch-synchronous analysis of...