Referenced Items are not available for this document.
In recent years, Conditional Random Fields (CRFs) have been examined as a statistical model for speech recognition. In this paper, we explore the use of features derived via CRFs as inputs to a Tandem- style HMM ASR system (that is, a Crandem system). We present a model for deriving frame-level posterior features via CRFs to use in Crandem modeling and additionally provide experimental results that show the Crandem system can slightly significantly outperform both a comparable Tandem system and a comparable CRF system on the task of phone recognition.
Published in:
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Date of Conference: March 31 2008-April 4 2008
- Page(s):
- 4049 - 4052
- ISSN :
- 1520-6149
- E-ISBN :
- 978-1-4244-1484-0
- Print ISBN:
- 978-1-4244-1483-3
- INSPEC Accession Number:
- 9973885
- Conference Location :
- Las Vegas, NV
- Digital Object Identifier :
- 10.1109/ICASSP.2008.4518543
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