We propose a feature extraction method for a speech recognizer that operates in digital
communication networks. The feature parameters are basically extracted by converting the …

The Internet Protocol (IP) environment poses two relevant sources of distortion to the speech
recognition problem: lossy speech coding and packet loss. In this paper, we propose a new …

The Global System for Mobile (GSM) environment encompasses three main problems for
automatic speech recognition (ASR) systems: noisy scenarios, source coding distortion, and …

In this paper, we investigate the use of block quantisers based on Gaussian mixture models
(GMMs) for the coding of Mel frequency-warped cepstral coefficient (MFCC) features in …

In this paper, we propose a feature extraction method for a speech recognizer that operates
in digital communication networks. The feature parameters are basically extracted by …

We have extended our previous research on a new approach to automatic speech
recognition (ASR) in the GSM environment. Instead of recognizing from the decoded speech …

We present a method to reduce the degradation in recognition accuracy introduced by full-
rate GSM RPE-LTP coding by combining sets of acoustic models trained under different …

Abstract Usage of Automatic Speech Recognition (ASR) systems is increasing day-by-day
for voice centric applications in mobile handheld and Voice over Internet Protocol (VoIP) …

In this paper, we propose the use of the multi-frame Gaussian mixture model-based block
quantizer for the coding of Mel frequencywarped cepstral coefficient (MFCC) features in …

Signal coding or compression has played a significant role in the success of digital
communications and multimedia. The use of signal coding pervades many aspects of our …