Speech Retrieval Papers and Project Descriptions
Descriptions of experimental or proprietary systems for which the software
may not be available.
- AT&T
Research
- Papers by Julia Hirschberg and others on the SCAN speech-based
retrieval and browsing system.
- BBN
- A brief description of the Rough and Ready speech-based
retrieval system.
- Cambridge
- A description of projects using speech retrieval for video
mail and broadcast news by Steve Young
and others of the Speech Vision,
and Robotics Group in Information Engineering at Cambridge
University. Related information and papers from the Olivetti and Oracle
Research Lab at Cambridge can be found here. There
is a wealth of speech retrieval material on the personal Web
pages of the researchers that are reachable from the above links, so
it is worth it to spend some time poking around here.
- Chinese
University of Hong Kong
- Work on Spoken Document Retrieval by Helen Meng.
- CMU
- An extensive set of papers by Alex
Hauptmann and others of the Informedia digital
library project at Carnegie-Mellon University, several of which
describe the use of speech retrieval to select video clips.
- Dublin City
University
- Brief mention of the Taiscéalaí system, which Alan
Smeaton completed in 1998.
- Johns Hopkins
University
- Reports from a 6-week workshop on cross-language speech
retrieval from the summer of 2000. Johns Hopkins is also a
part of the multi-site MALACH project.
- LIMSI
- Research at the LIMSI spoken language research group in France.
- MIT
- Kenny Ng's Ph.D. thesis from the MIT Spoken
Language Systems
Group on speech-based information retrieval using subword
indexing. Papers
and a Ph.D. dissertation
on auditory display for speech retrieval by Barry Arons
of the MIT Media Lab
are also available.
- Michigan State University
- The National Gallery of the Spoken Word, a Digital Library
Initiative Phase 2 project that plans to apply speech-based
retrieval to historical audio collections. There is also a
paper on this project available from John
Hansen of the University of Colorado.
- NIST
- A description of the Spoken Interactive Document Retrieval
System (SPIDRES) project that was developed at the U.S. National
Institute of Standards and Technology. (As prrof that nothing
really ever disappears, this page is no longer available at NIST, but
it survives from a mirror in Chine.) Several papers on
spoken document retrieval are also available from the TREC Web site (see TREC 6-9,
and sort by track) and in the DARPA Speech
Recognition Workshop and TDT Workshop proceedings, all of
which are hosted at NIST.
- Royal
Melbourne Institute of Technology
- Some tutorial information prepared by Corinna Ng.
- Ryukoku
University
- Papers on the retrieval of news video using a combination of
speech recognition,
speaker identification and face recognition from the lab of Yasuo
Ariki and Masahito Kumano at Ryukoku University in
Japan (scroll down for English).
- University of
Maryland
- The MALACH project which is developing systems for retrieval
from large oral history collections. The project
spans 7 organizations, and the main project Web
site
provides inforamtion about the activites at each location.
Some additional
papers on Speech Retrieval by Doug Oard are also available.
- University of
Massachusetts
- The keynote address by James Allen from
the SIGIR 2001 Workshop
on Information Retrieval Techniques for Speech
Applications. The full proceedings of that workshop are
available online (for a
subscription fee) from Springer in Lecture
Notes in Computer Science
Workshop on Information
Retrieval Techniques for Speech Applications.
- University of
Waterloo
- Papers on a system called Jabber that performs speech-based
retrieval of recorded meetings by Rick Kazman and
others.
Doug Oard
Last modified: Thu Feb 6 00:27:14 2003