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Speech analytics

Known as: LVCSR 
Speech analytics is the process of analyzing recorded calls to gather customer information to improve communication and future interaction. The… 
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Papers overview

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2013
2013
In this paper, the comparison of 2,3,4-gram language models with various lexicon sizes is presented. The text data forming the… 
2011
2011
Missing data techniques (MDTs) have been widely employed and shown to improve speech recognition results under noisy conditions… 
2009
2009
This paper describes the ESAT 2008 Broadcast News transcription system for the N-Best 2008 benchmark, developed in part for… 
2009
2009
We propose a new optimization algorithm called Generalized Baum Welch (GBW) algorithm for discriminative training on hidden… 
2007
2007
This thesis describes the investigation of the use of Continuous Density Hidden Markov Model (CDHMM) for Malay Automatic Speech… 
2006
2006
This paper is an empirical study on the performance of different discriminative approaches to reranking the N-best hypotheses… 
2001
2001
In this paper, we present our recently developed time- synchronous speech recognition decoder, which adopts the idea of… 
1999
1999
This paper describes the improvements that resulted in the 1998 Byblos large vocabulary conversational speech recognition (LVCSR… 
1997
1997
. This paper describes our recent effort in developing the Global Phone database for multilingual large vocabulary continuous… 
1997
1997
The article describes two extensions to the "traditional" decision tree methods for clustering allophone HMM states in large…