Various models have been proposed with many dimension reduction techniques and
classifiers in the field of pattern recognition by using audio signal processing. In this paper …

Voice activity detection (VAD) used for classifying speech/non-speech sections of a speech
signal still suffers from noisy environments. In this paper, we cooperate the modulation …

Abstract Voice Activity Detection (VAD), also referred as Speech Activity Detection (SAD) is
the process of identifying speech/non-speech region in digital speech recordings. It is used …

This paper proposes a new approach to improve the amount of information extracted from
the speech aiming to increase the accuracy of a system developed for the automatic …

This article presents the implementation of Text Independent Speaker Identification system.
It involves two parts-“Speech Signal Processing” and “Artificial Neural Network”. The speech …

This paper presents a comparative study on the performance of recurrent neural networks
trained in real-time to predict the next sample in a speech signal. The comparison is …

Voice recognition systems are used to distinguish different sorts of voices. However,
recognizing a voice is not always successful due to the presence of different parameters …

One of basic algorithms employed in technologies such as automatic speech recognition
(ASR) systems is voice activity detection (VAD). Speech contains many pauses, whose …

The paper presents a novel approach for voice activity detection. The main idea behind the
presented approach is to use, next to the likelihood ratio of a statistical model-based voice …