scholarly journals Automatic segmentation and alignment of continuous speech based on the temporal decomposition model

1990 ◽  
Vol 87 (S1) ◽  
pp. S106-S106 ◽  
Author(s):  
H. D. Wang ◽  
G. Bailly ◽  
D. Tuffelli
Keyword(s):  
Automatic Segmentation ◽  
Continuous Speech ◽  
Decomposition Model ◽  
Temporal Decomposition

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.

Time separation technique: Accurate solution for 4D C-Arm-CT perfusion imaging using a temporal decomposition model

2018 ◽  
Vol 45 (3) ◽  
pp. 1080-1092
Author(s):  
Sebastian Bannasch ◽  
Robert Frysch ◽  
Tim Pfeiffer ◽  
Gerald Warnecke ◽  
Georg Rose
Keyword(s):  
Perfusion Imaging ◽  
Ct Perfusion ◽  
Accurate Solution ◽  
Separation Technique ◽  
Time Separation ◽  
Decomposition Model ◽  
Ct Perfusion Imaging ◽  
Temporal Decomposition
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