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sabato marco siniscalchi
sabato marco siniscalchi
University of Palermo / Georgia Institute of Technology / Norwegian University of Science and
Email verificata su unipa.it - Home page
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Citata da
Citata da
Anno
On mean absolute error for deep neural network based vector-to-vector regression
J Qi, J Du, SM Siniscalchi, X Ma, CH Lee
IEEE Signal Processing Letters 27, 1485-1489, 2020
2452020
A novel architecture of parking management for smart cities
T Giuffrè, SM Siniscalchi, G Tesoriere
Procedia-Social and Behavioral Sciences 53, 16-28, 2012
1842012
Architecture for parking management in smart cities
RE Barone, T Giuffrè, SM Siniscalchi, MA Morgano, G Tesoriere
IET Intelligent Transport Systems 8 (5), 445-452, 2014
1832014
Exploiting deep neural networks for detection-based speech recognition
SM Siniscalchi, D Yu, L Deng, CH Lee
Neurocomputing 106, 148-157, 2013
1492013
Decentralizing feature extraction with quantum convolutional neural network for automatic speech recognition
CHH Yang, J Qi, SYC Chen, PY Chen, SM Siniscalchi, X Ma, CH Lee
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
1442021
Improving non-native mispronunciation detection and enriching diagnostic feedback with DNN-based speech attribute modeling
W Li, SM Siniscalchi, NF Chen, CH Lee
2016 IEEE international conference on acoustics, speech and signal …, 2016
1032016
Experiments on Cross-Language Attribute Detection and Phone Recognition With Minimal Target-Specific Training Data
S MARCO SINISCALCHI, DC LYU, T SVENDSEN, CH LEE
IEEE transactions on audio, speech, and language processing 20 (3), 875-887, 2012
94*2012
An artificial neural network approach to automatic speech processing
SM Siniscalchi, T Svendsen, CH Lee
Neurocomputing 140, 326-338, 2014
932014
Hermitian polynomial for speaker adaptation of connectionist speech recognition systems
SM Siniscalchi, J Li, CH Lee
IEEE Transactions on Audio, Speech, and Language Processing 21 (10), 2152-2161, 2013
902013
Rapid adaptation for deep neural networks through multi-task learning.
Z Huang, J Li, SM Siniscalchi, IF Chen, J Wu, CH Lee
Interspeech, 3625-3629, 2015
882015
An end-to-end deep learning approach to simultaneous speech dereverberation and acoustic modeling for robust speech recognition
B Wu, K Li, F Ge, Z Huang, M Yang, SM Siniscalchi, CH Lee
IEEE Journal of Selected Topics in Signal Processing 11 (8), 1289-1300, 2017
872017
Boosting attribute and phone estimation accuracies with deep neural networks for detection-based speech recognition
D Yu, SM Siniscalchi, L Deng, CH Lee
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
822012
A study on integrating acoustic-phonetic information into lattice rescoring for automatic speech recognition
SM Siniscalchi, CH Lee
Speech communication 51 (11), 1139-1153, 2009
762009
Toward a detector-based universal phone recognizer
SM Siniscalchi, T Svendsen, CH Lee
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
752008
Device-robust acoustic scene classification based on two-stage categorization and data augmentation
H Hu, CHH Yang, X Xia, X Bai, X Tang, Y Wang, S Niu, L Chai, J Li, H Zhu, ...
arXiv preprint arXiv:2007.08389, 2020
742020
An information-extraction approach to speech processing: Analysis, detection, verification, and recognition
CH Lee, SM Siniscalchi
Proceedings of the IEEE 101 (5), 1089-1115, 2013
712013
Universal attribute characterization of spoken languages for automatic spoken language recognition
SM Siniscalchi, J Reed, T Svendsen, CH Lee
Computer Speech & Language 27 (1), 209-227, 2013
682013
A unified approach to transfer learning of deep neural networks with applications to speaker adaptation in automatic speech recognition
Z Huang, SM Siniscalchi, CH Lee
Neurocomputing 218, 448-459, 2016
652016
Maximum a posteriori adaptation of network parameters in deep models
Z Huang, SM Siniscalchi, IF Chen, J Wu, CH Lee
arXiv preprint arXiv:1503.02108, 2015
642015
Experimental study on extreme learning machine applications for speech enhancement
T Hussain, SM Siniscalchi, CC Lee, SS Wang, Y Tsao, WH Liao
IEEE Access 5, 25542-25554, 2017
592017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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