| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A fast and memory-efficient N-gram language model lookup method for large vocabulary continuous speech recognition
|
Li, Xiaolong
|
|
2007
|
21 |
1 |
p. 1-25
25 p.
|
artikel
|
| 2 |
A two-pass approach for handling out-of-vocabulary words in a large vocabulary recognition task
|
Scharenborg, Odette
|
|
2007
|
21 |
1 |
p. 206-218
13 p.
|
artikel
|
| 3 |
Automatic pronunciation evaluation of foreign speakers using unknown text
|
Moustroufas, N.
|
|
2007
|
21 |
1 |
p. 219-230
12 p.
|
artikel
|
| 4 |
Backoff hierarchical class n-gram language models: effectiveness to model unseen events in speech recognition
|
Zitouni, Imed
|
|
2007
|
21 |
1 |
p. 88-104
17 p.
|
artikel
|
| 5 |
‘Early recognition’ of polysyllabic words in continuous speech
|
Scharenborg, Odette
|
|
2007
|
21 |
1 |
p. 54-71
18 p.
|
artikel
|
| 6 |
Evaluating spoken dialogue systems according to de-facto standards: A case study
|
Möller, Sebastian
|
|
2007
|
21 |
1 |
p. 26-53
28 p.
|
artikel
|
| 7 |
Features based on filtering and spectral peaks in autocorrelation domain for robust speech recognition
|
Farahani, G.
|
|
2007
|
21 |
1 |
p. 187-205
19 p.
|
artikel
|
| 8 |
Iterative reconstruction of speech from short-time Fourier transform phase and magnitude spectra
|
Alsteris, Leigh D.
|
|
2007
|
21 |
1 |
p. 174-186
13 p.
|
artikel
|
| 9 |
Random forests and the data sparseness problem in language modeling
|
Xu, Peng
|
|
2007
|
21 |
1 |
p. 105-152
48 p.
|
artikel
|
| 10 |
Reformulating the HMM as a trajectory model by imposing explicit relationships between static and dynamic feature vector sequences
|
Zen, Heiga
|
|
2007
|
21 |
1 |
p. 153-173
21 p.
|
artikel
|
| 11 |
Speaker-adaptive learning of resonance targets in a hidden trajectory model of speech coarticulation
|
Yu, Dong
|
|
2007
|
21 |
1 |
p. 72-87
16 p.
|
artikel
|
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