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ORCIDSpeech Communication, Volume 110
Volume 110, July 2019
- Xingfeng Li
, Masato Akagi:
Improving multilingual speech emotion recognition by combining acoustic features in a three-layer model. 1-12 - Jing Wang, Yahui Shan, Xiang Xie, Jingming Kuang:
Output-based speech quality assessment using autoencoder and support vector regression. 13-20 - Ki-Seung Lee:
Speech enhancement using ultrasonic doppler sonar. 21-32 - Ahmed Isam Ahmed, John P. Chiverton, David L. Ndzi, Victor M. Becerra:
Speaker recognition using PCA-based feature transformation. 33-46 - N. P. Narendra, Paavo Alku:
Dysarthric speech classification from coded telephone speech using glottal features. 47-55 - Muhammad Ali Tahir, Heyun Huang, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Training of reduced-rank linear transformations for multi-layer polynomial acoustic features for speech recognition. 56-63 - Bajibabu Bollepalli, Lauri Juvela, Manu Airaksinen, Cassia Valentini-Botinhao, Paavo Alku:
Normal-to-Lombard adaptation of speech synthesis using long short-term memory recurrent neural networks. 64-75 - Ganji Sreeram, Kunal Dhawan, Rohit Sinha:
IITG-HingCoS corpus: A Hinglish code-switching database for automatic speech recognition. 76-89 - Najmeh Sadoughi, Carlos Busso:
Speech-driven animation with meaningful behaviors. 90-100 - Michael Jessen, Gur Meir, Yosef A. Solewicz:
Evaluation of Nuance Forensics 9.2 and 11.1 under conditions reflecting those of a real forensic voice comparison case (forensic_eval_01). 101-107 - Peter Birkholz, Daniel Pape:
How modeling entrance loss and flow separation in a two-mass model affects the oscillation and synthesis quality. 108-116
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