In many speech and audio applications, it is first necessary to partition and classify acoustic
events prior to voice coding for communication or speech recognition for spoken document …

In this thesis, research on large vocabulary continuous speech recognition for unknown
audio conditions is presented. For automatic speech recognition systems based on …

It is often important to be able to automatically label 'who spoke when'during some audio
data. This paper describes two systems for audio segmentation developed at CUED and MIT …

This paper describes the Mandarin–English Information (MEI) project, where we
investigated the problem of cross-language spoken document retrieval (CL-SDR), and …

Statistical language modeling (LM), which aims to capture the regularities in human natural
language and quantify the acceptability of a given word sequence, has long been an …

In recent years, statistical modeling approaches have steadily gained in popularity in the
field of information retrieval. This article presents an HMM/N-gram-based retrieval approach …

In this paper, our work in developing a Mandarin broadcast news transcription system is
described. The main focus of this work is a port of the LIMSI American English broadcast …

In this paper, we explored the use of various extra information to improve the performance of
spoken document retrieval (SDR). From the speech recognition perspective, we …

Information retrieval which aims to provide people with easy access to all kinds of
information is now becoming more and more emphasized. However, most approaches to …

MEI (Mandarin-English Information) is an English-Chinese crosslingual spoken document
retrieval (CL-SDR) system developed during the Johns Hopkins University Summer …