The past decade has witnessed a growing interest in deploying automatic speech
recognition (ASR) in communication networks. The networks such as wireless networks …

The emergence of distributed speech recognition has generated the need to mitigate the
degradations that the transmission channel introduces in the speech features used for …

This paper presents a framework for efficient HMM-based estimation of unreliable
spectrographic speech data. It discusses the role of hidden Markov models (HMMs) during …

Distributed speech recognition (DSR) has been recently proposed as an efficient way of
translating automatic speech recognition technologies to mobile and IP network application …

ABSTRACT Distributed Speech Recognition involves the development of techniques to
mitigate the degradations that the transmission channel introduces in the speech features …

This paper describes a robust speech recognition technique by reconstructing spectral
components mismatched with a training environment. Although the cluster-based …

This paper describes a robust speech recognition technique by reconstructing spectral
components mismatched with a training environment. Although the cluster-based …

This paper describes a robust speech recognition technique by reconstructing spectral
components mismatched with a training environment. Although the cluster-based …

The emergence of distributed speech recognition has generated the need to mitigate the
degradations that the transmission channel introduces in the speech features used for …

In this paper we propose an entropy-optimized channel error mitigation technique with a low
computational complexity and moderate memory requirements, suitable for transmissions …