In this paper we discuss our research activities in the area of spoken lecture processing. Our
goal is to improve the access to on-line audio/visual recordings of academic lectures by …

In this paper, we present an unsupervised learning framework to address the problem of
detecting spoken keywords. Without any transcription information, a Gaussian Mixture Model …

In the last decade e-lecturing has become more and more popular. The amount of lecture
video data on the World Wide Web (WWW) is growing rapidly. Therefore, a more efficient …

We present a novel approach to speech processing based on the principle of pattern
discovery. Our work represents a departure from traditional models of speech recognition …

(*) Notice: Subject to any disclaimer, the term of this 2005. O197843 A1* 9, 2005 Faisman et
al. TO4, 276 patent is extended or adjusted under 35 2005/0203738 A1* 9/2005 …

We investigate different approaches for dialect identification in Arabic broadcast speech,
using phonetic, lexical features obtained from a speech recognition system, and acoustic …

We present a model of unsupervised phonological lexicon discovery—the problem of
simultaneously learning phoneme-like and word-like units from acoustic input. Our model …

A speech segment is indexed by identifying at least two alternative word sequences for the
speech segment. For each word in the alternative sequences, information is placed in an …

In this study we developed an automated system that evaluates speech and language
features from audio recordings of neuropsychological examinations of 92 subjects in the …

This paper describes our initial progress towards developing a system for automatically
transcribing and indexing audio-visual academic lectures for audio information retrieval. We …