Time overlapping of acoustic signals, which so often occurs in real life, is a challenge for current state-of-the-art sound recognition systems. In this work, we propose an approach for detecting, identifying and ...

En esta comunicación se describe el uso de la semisílaba en el reconocimiento de habla continua para una aplicación específica: el reconocimiento de los números enteros castellanos del cero al mil. Tras una breve descripción ...

Speech recognition in noisy environments remains an unsolved problem, even in the case of isolated word recognition with small vocabularies. Recently, several techniques have been proposed to alleviate this problem. ...

Cepstral coefficients obtained by means of a linear predictive analysis (LPC) of either the signal or a related sequence have given remarkable robustness against additive Gaussian white noise. From a comparative study of ...

In this paper, two ways of obtaining more robust spectral parameters are explored. Firstly, an hybridization of both LP and filter-bank approaches is considered, which is capable of improving recognition results for both ...

In this paper we investigate the use of a feature selection step in a isolated word recognition system. The feature selection step tries lo modal the correlalion among dajacent feature vectors and the variabilily of the ...

Acoustic source localization and sound recognition are common acoustic scene analysis tasks that are usually considered separately. In this paper, a new source localization technique is proposed that works jointly with an ...