The effect of recognizing a person by his voice, through a machine, is known as automatic speaker recognition. This technique sets up a complex problem when considering algorithms that demand a fast processing and the ...

In this paper, we carry out a comparative performance analysis of Long Short-term Memory (LSTM) Neural Networks for the task of noise reduction. Recent work in this area has shown the advantages of this kind of network for ...

In this paper, we propose a new front-end for Acoustic Event Classification tasks (AEC). First, we study the spectral contents of different acoustic events by applying Non-Negative Matrix Factorization (NMF) on their ...

Feature extraction methods for sound events have been traditionally based on parametric representations specifically developed for speech signals, such as the well-known Mel Frequency Cepstrum Coefficients (MFCC). However, ...

The speech recognition systems consist of three principal parts: preprocessing, features extraction and vectors classification. This paper considers the voice changes, voluntary and involuntary changes, and how this affects ...

Este trabalho apresenta uma metodologia para identificação de locutores baseada na inserção de um novo atributo de áudio, denominado Média Máxima dos Líderes Wavelet (Maximum Mean Wavelet Leaders – MMWL), extraídos e ...

Consiste en la elaboración de un Sistema de Reconocimiento y Análisis de Voz de palabras aisladas, independiente del locutor y con un procesamiento On Line. La etapa de reconocimiento del sistema esta basado en el uso de ...

Whispering is a common and secondary speech mechanism for communicating, however, in some cases, it can also be the main form to communicate, such as cases of people with pathologies of the larynx or who have suffered some ...