Modelling Care for Articulation with HMMs is Dangerous

Matthew Aylett P.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Changes in care of articulation (COA) affect both the spectral and durational characteristics of speech. This can have severe repercussions on both the success of speech recognition, and the quality of speech synthesis. Although auto-segmentation has proven useful for measuring the durational effects of COA, an automatic spectral measurement has proven more problematic. In this paper, we will explore the use of the acoustic log likelihoods generated by HMM auto-segmentation as a measure of these changes in comparison with two phonetically motivated modeling systems based on vocalic F1/F2 values. When duration variation is controlled, the HMM output does not correlate with the human perception of vowel goodness, whereas, the phonetically motivated models do.
Original languageEnglish
Title of host publicationProceedings of the 7th European Conference on Speech Communication and Technology
Subtitle of host publicationEurospeech 2001 Scandinavia
EditorsPaul Dalsgaard, Børge Lindberg, Henrik Benner, Zheng-Hua Tan
Place of PublicationAalborg, Denmark
Publisher Kommunik Grafiske Løsninger
Pages1491-1494
Number of pages4
ISBN (Print)87-90834-10-0
Publication statusPublished - 2001
Event7th European Conference on Speech Communication and Technology (Eurospeech 2001 Scandinavia) - Aalborg Congress and Culture Centre, Aalborg, Denmark
Duration: 3 Sep 20017 Sep 2001

Conference

Conference7th European Conference on Speech Communication and Technology (Eurospeech 2001 Scandinavia)
Country/TerritoryDenmark
CityAalborg
Period3/09/017/09/01

Fingerprint

Dive into the research topics of 'Modelling Care for Articulation with HMMs is Dangerous'. Together they form a unique fingerprint.

Cite this