This paper presents a brief survey on Automatic Speech Recognition and discusses the
major themes and advances made in the past 60 years of research, so as to provide a …

Human speech is not only a verbose medium of communication but it also conveys
emotions. The past decade has seen a lot of research going on with speech data which …

This paper presents a brief survey of Automatic Speech Recognition (ASR) and discusses
the major themes and advances made in the past 70 years of research, so as to provide a …

In this paper, we present a novel speech feature extraction algorithm based on a
hierarchical combination of auditory similarity and pooling functions. The computationally …

Data transmissions in public communications systems are not secure because of the chance
of their being intercepted, and tampered with by eavesdroppers. The security of acoustic …

Noise reduction algorithms are widely used to mitigate noise effects on speech to improve
the robustness of speech technology applications. However, they inevitably cause speech …

This chapter presents an audio-visual speech recognition (AVSR) for Human Computer
Interaction (HCI) that mainly focuses on 3 modules:(i) the radial basis function neural …

An auditory perception model for noise-robust speech feature extraction is presented. The
model assumes continuous-time filtering and rectification, amenable to real-time, low-power …

The current speech interfaces in many military applications may be adequate for native
speakers. However, the recognition rate drops quite a lot for non-native speakers (people …

As the need to provide access to spoken word audio collections in libraries, archives, and
museums (LAM) increases, so does the need to process them efficiently and consistently …