For hidden Markov model (HMM) based speech recognition where the basic speech unit is smaller than the recognizer's output unit, the standard full Baum-Welch re-estimation procedure for the HMM training is very costly in computation. This is hecause it requires evaluation of the HMM output densities
β¦ LIBER β¦
Parallel algorithms for hidden markov models on the orthogonal multiprocessor
β Scribed by Shin-Wen Lee; Wen-Hsing Hsu
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 858 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
The semi-relaxed algorithm for estimatin
β
Li Deng
π
Article
π
1991
π
Elsevier Science
π
English
β 489 KB
Parallel adaptive wavefront algorithms s
β
Claver, Jose M.; Hernandez, Vicente
π
Article
π
1999
π
John Wiley and Sons
π
English
β 123 KB
π 2 views
The order of the matrices involved in several algebraic problems decreases during the solution process. In these cases, parallel algorithms which use adaptive solving block sizes offer better performance results than the ones obtained on parallel algorithms using traditional constant block sizes. Re
A biomedical system based on hidden Mark
β
Harun UΔuz; Ahmet Arslan; Δ°brahim TΓΌrkoΔlu
π
Article
π
2007
π
Elsevier Science
π
English
β 867 KB
Parallel algorithms for the quasi-triang
π
Article
π
1993
π
Elsevier Science
π
English
β 130 KB
On the use of two QMR algorithms for sol
β
Roland W. Freund; Marlis Hochbruck
π
Article
π
1994
π
John Wiley and Sons
π
English
β 883 KB
An optimal parallel algorithm for the do
β
Ming-Shing Yu; Cheng-Hsing Yang
π
Article
π
1992
π
Elsevier Science
π
English
β 646 KB