Over the past decades, a particular focus is given to research on machine learning
techniques for speech processing applications. However, in the past few years, research …

New waves of consumer-centric applications, such as voice search and voice interaction
with mobile devices and home entertainment systems, increasingly require automatic …

The Application of Hidden Markov Models in Speech Recognition Page 1 The Application of
Hidden Markov Models in Speech Recognition Full text available at: http://dx.doi.org/10.1561/2000000004 …

We describe the latest improvements to the IBM English conversational telephone speech
recognition system. Some of the techniques that were found beneficial are: maxout networks …

Speech recognition technology has left the research laboratory and is increasingly coming
into practical use, enabling a wide spectrum of innovative and exciting voice-driven …

A complete overview of distant automatic speech recognition The performance of
conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon …

Recently there has been increased interest in Automatic Speech Recognition (ASR) and
Key Word Spotting (KWS) systems for low resource languages. One of the driving forces for …

We present a modified form of the maximum mutual information (MMI) objective function
which gives improved results for discriminative training. The modification consists of …

To advance research, it is important to identify promising future research directions,
especially those that have not been adequately pursued or funded in the past. The working …

Deep belief networks (DBN) have shown impressive improvements over Gaussian mixture
models for automatic speech recognition. In this work we use DBNs for audio-visual speech …