Affordable Access

Isolated Word Verification Using Cohort Word-Level Verification

Authors
Publisher
ISCA - Bonn University
Publication Date
Disciplines
  • Computer Science

Abstract

Speech and Audio Research Laboratory of the SAIVT program Centre for Built Environment and Engineering Research ACOUSTIC KEYWORD SPOTTING IN SPEECH WITH APPLICATIONS TO DATA MINING A. J. Kishan Thambiratnam BE(Electronics)/BInfTech SUBMITTED AS A REQUIREMENT OF THE DEGREE OF DOCTOR OF PHILOSOPHY AT QUEENSLAND UNIVERSITY OF TECHNOLOGY BRISBANE, QUEENSLAND 9 MARCH 2005 Keywords Keyword Spotting, Wordspotting, Data Mining, Audio Indexing, Keyword Veri- fication, Confidence Scoring, Speech Recognition, Utterance Verification i ii Abstract Keyword Spotting is the task of detecting keywords of interest within continu- ous speech. The applications of this technology range from call centre dialogue systems to covert speech surveillance devices. Keyword spotting is particularly well suited to data mining tasks such as real-time keyword monitoring and unre- stricted vocabulary audio document indexing. However, to date, many keyword spotting approaches have suffered from poor detection rates, high false alarm rates, or slow execution times, thus reducing their commercial viability. This work investigates the application of keyword spotting to data mining tasks. The thesis makes a number of major contributions to the field of keyword spotting. The first major contribution is the development of a novel keyword verification method named Cohort Word Verification. This method combines high level lin- guistic information with cohort-based verification techniques to obtain dramatic improvements in verification performance, in particular for the problematic short duration target word class. The second major contribution is the development of a novel audio document indexing technique named Dynamic Match Lattice Spotting. This technique aug- ments lattice-based audio indexing principles with dynamic sequence matching techniques to provide robustness to erroneous lattice realisations. The resulting algorithm obtains significant improv

There are no comments yet on this publication. Be the first to share your thoughts.

Statistics

Seen <100 times
0 Comments

More articles like this

On using words.

on The New Zealand medical journa... December 1972

On using words.

on The New Zealand nursing journa... April 1977
More articles like this..