Latent phonetic analysis: Use of singular value decomposition to determine features for CRF phone recognition
Heintz, I.B.
Fosler-Lussier, E.
Brew, C.
Dept. of Linguistics, Ohio State Univ., Columbus, OH;
This paper appears in: Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Publication Date: March 31 2008-April 4 2008
On page(s): 4541-4544
Location: Las Vegas, NV,
ISSN: 1520-6149
ISBN: 978-1-4244-1483-3
INSPEC Accession Number: 9974008
Digital Object Identifier: 10.1109/ICASSP.2008.4518666
Current Version Published: 2008-05-12
Abstract
We exploit an analogy between document retrieval and phone recognition, and adapt the method of latent semantic analysis for the latter task. By mapping into a space of reduced dimensionality, we hope to uncover previously unexploited relationships between posterior estimates of phonetic events and the parts of phones represented by HMM states. We find that features defined over the reduced space complement those previously known, such as, for example, phonological features. We are able to effectively combine all of these features in a phone recognition task by using the constraint-based framework of conditional random fields (CRFs), which allows the use of large and highly redundant feature spaces.
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
