nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A Bidirectional LSTM Approach with Word Embeddings for Sentence Boundary Detection
|
Xu, Chenglin |
|
2017 |
90 |
7 |
p. 1063-1075 |
artikel |
2 |
A Speaker-Dependent Approach to Single-Channel Joint Speech Separation and Acoustic Modeling Based on Deep Neural Networks for Robust Recognition of Multi-Talker Speech
|
Tu, Yan-Hui |
|
2017 |
90 |
7 |
p. 963-973 |
artikel |
3 |
Auxiliary Features from Laser-Doppler Vibrometer Sensor for Deep Neural Network Based Robust Speech Recognition
|
Sun, Lei |
|
2017 |
90 |
7 |
p. 975-983 |
artikel |
4 |
CTC Regularized Model Adaptation for Improving LSTM RNN Based Multi-Accent Mandarin Speech Recognition
|
Yi, Jiangyan |
|
2017 |
90 |
7 |
p. 985-997 |
artikel |
5 |
Guest Editorial: Advances in Deep Learning for Speech Processing
|
Xie, Lei |
|
2018 |
90 |
7 |
p. 959-961 |
artikel |
6 |
Improving Deep Neural Network Based Speech Synthesis through Contextual Feature Parametrization and Multi-Task Learning
|
Wen, Zhengqi |
|
2017 |
90 |
7 |
p. 1025-1037 |
artikel |
7 |
Improving Mandarin Tone Recognition Based on DNN by Combining Acoustic and Articulatory Features Using Extended Recognition Networks
|
Lin, Ju |
|
2018 |
90 |
7 |
p. 1077-1087 |
artikel |
8 |
Improving the Decoding Efficiency of Deep Neural Network Acoustic Models by Cluster-Based Senone Selection
|
Liu, Jun-Hua |
|
2017 |
90 |
7 |
p. 999-1011 |
artikel |
9 |
Investigating Deep Neural Network Adaptation for Generating Exclamatory and Interrogative Speech in Mandarin
|
Zheng, Yibin |
|
2017 |
90 |
7 |
p. 1039-1052 |
artikel |
10 |
Lattice Based Transcription Loss for End-to-End Speech Recognition
|
Kang, Jian |
|
2017 |
90 |
7 |
p. 1013-1023 |
artikel |
11 |
Unit Selection Speech Synthesis Using Frame-Sized Speech Segments and Neural Network Based Acoustic Models
|
Ling, Zhen-Hua |
|
2018 |
90 |
7 |
p. 1053-1062 |
artikel |