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MM
2005
ACM
146views Multimedia» more  MM 2005»
15 years 5 months ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic
JASIS
1998
172views more  JASIS 1998»
14 years 11 months ago
Speech Recognition for a Digital Video Library
The standard method for making the full content of audio and video material searchable and is to annotate it with humangenerated meta-data that describes the content in a way that...
Michael J. Witbrock, Alexander G. Hauptmann
TASLP
2008
141views more  TASLP 2008»
14 years 11 months ago
Unsupervised Pattern Discovery in Speech
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, where t...
A. S. Park, J. R. Glass
MM
2004
ACM
174views Multimedia» more  MM 2004»
15 years 5 months ago
Speech, ink, and slides: the interaction of content channels
In this paper, we report on an empirical exploration of digital ink and speech usage in lecture presentation. We studied the video archives of five Master’s level Computer Scien...
Richard J. Anderson, Crystal Hoyer, Craig Prince, ...
ICASSP
2011
IEEE
14 years 3 months ago
Cross-language bootstrapping based on completely unsupervised training using multilingual A-stabil
This paper presents our work on rapid language adaptation of acoustic models based on multilingual cross-language bootstrapping and unsupervised training. We used Automatic Speech...
Ngoc Thang Vu, Franziska Kraus, Tanja Schultz