A number of decoding strategies for large vocabulary continuous speech recognition (LVCSR) are examined from the viewpoint of their search space representation. Different design solutions are compared with respect to the integration of linguistic and acoustic constraints, as implied by m-gram langua
โฆ LIBER โฆ
The use of virtual hypothesis copies in decoding of large-vocabulary continuous speech
โ Scribed by Seide, F.
- Book ID
- 117935964
- Publisher
- IEEE
- Year
- 2005
- Tongue
- English
- Weight
- 690 KB
- Volume
- 13
- Category
- Article
- ISSN
- 1063-6676
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
An overview of decoding techniques for l
โ
Xavier L. Aubert
๐
Article
๐
2002
๐
Elsevier Science
๐
English
โ 351 KB
Efficient WFST-Based One-Pass Decoding W
โ
Hori, T.; Hori, C.; Minami, Y.; Nakamura, A.
๐
Article
๐
2007
๐
Institute of Electrical and Electronics Engineers
๐
English
โ 760 KB
An improved two-stage mixed language mod
โ
Rรฉveil, Bert; Demuynck, Kris; Martens, Jean-Pierre
๐
Article
๐
2014
๐
Elsevier Science
๐
English
โ 404 KB
The use of tree-trellis search for large
โ
Eng-Fong Huang; Frank K. Soong; Hsiao-Chuan Wang
๐
Article
๐
1994
๐
Elsevier Science
๐
English
โ 483 KB
In this paper, we propose the use of a tree-trellis search scheme for the task of large vocabulary Mandarin polysyllabic word recognition. Usually, the task of large vocabulary word recognition is computationally intractable by whole-word based approach. We convert this task into a tree network sear
Continuous Mandarin speech recognition f
โ
Shen, J.-L.
๐
Article
๐
1998
๐
The Institution of Electrical Engineers
๐
English
โ 915 KB
Decoding the distributed neural substrat
โ
Abrams, DA; Bhatara, A; Ryali, S; Balaban, E; Levitin, D; Menon, V
๐
Article
๐
2009
๐
Elsevier Science
๐
English
โ 119 KB