scholarly journals A new statistical approach for the automatic segmentation of continuous speech signals

1988 ◽  
Vol 36 (1) ◽  
pp. 29-40 ◽  
Author(s):  
R. Andre-Obrecht
Keyword(s):  
Statistical Approach ◽  
Automatic Segmentation ◽  
Speech Signals ◽  
Continuous Speech

Interpolation of Data With Continuous Speech Signals

1967 ◽  
Vol 46 (8) ◽  
pp. 1931-1933 ◽  
Author(s):  
M. R. Schroeder ◽  
S. L. Hanauer
Keyword(s):  
Speech Signals ◽  
Continuous Speech

Phonetic Analysis and the Automatic Segmentation and Labeling of Speech Sounds

1990 ◽  
Vol 20 (1) ◽  
pp. 15-21 ◽  
Author(s):  
Peter Roach ◽  
Helen Roach ◽  
Andrea Dew ◽  
Paul Rowlands
Keyword(s):  
Speech Processing ◽  
Acoustic Analysis ◽  
Automatic Segmentation ◽  
Research Work ◽  
Speech Sounds ◽  
Computer Algorithms ◽  
Continuous Speech ◽  
Considerable Debate ◽  
Theoretical Issues

A fundamentally important practice in phonetics is the analysis of continuous speech into a sequence of discrete segments. There has been considerable debate about the theoretical validity of this practice within classical auditory/kinaesthetic phonetics and in phonology as well as in the context of the acoustic analysis of speech; in recent years the issue has become more widely important as research work in automatic speech processing has resulted in computer algorithms for segmenting speech and assigning phonetic labels to the segments. Work on the automatic segmentation and labeling of speech sounds has been carried on in our department since 1980. This paper begins by examining the theoretical issues involved in segmentation and labeling, then describes our own work.

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