Th paper describes recent advances in the CU-HTK Broadcast News English (BN-E)
transcription system and its performance in the DARPA/NIST Rich Transcription 2003 …

The paper addresses the use of discriminative training criteria for speaker adaptive training
(SAT), where both the transform generation and model parameter estimation are estimated …

This paper describes the theory and implementation of Bayesian networks in the context of
automatic speech recognition. Bayesian networks provide a succinct and expressive …

This paper presents the comparison of different acoustic adaptation methods in a
multilingual speech recognition environment. Baseline multilingual acoustic models were …

Within the framework of a generalization of Rose's integrated parametric model (IPM) to the
Gaussian mixture hidden Markov model (HMM) formulation to model speech in noisy …

This paper investigates the problem of speaker identification in noisy conditions, assuming
that there is no prior knowledge about the noise. To confine the effect of the noise on …

In this paper, we describe a multichannel method of noisy speech recognition that can adapt
to various in-car noise situations during driving. The method allows us to estimate the log …

The focus of this thesis is to address a number of research issues in developing an effective
large vocabulary continuous speech recognition (LVCSR) based on-line spoken document …

Unsupervised adaptation has evolved as a popular approach for tuning the acoustic models
of speaker-independent speech recognition systems to specific speakers, speaker groups or …

Abstract We describe the Sail Labs Media Mining System (MMS) aimed at the transcription
of Castilian Spanish broadcastnews. In contrast to previous systems, the focus of this system …