Artikel dengan mandat akses publik - sabato marco siniscalchiPelajari lebih lanjut
Tidak tersedia di mana pun: 2
Improving mandarin tone recognition based on dnn by combining acoustic and articulatory features using extended recognition networks
J Lin, W Li, Y Gao, Y Xie, NF Chen, SM Siniscalchi, J Zhang, CH Lee
Journal of Signal Processing Systems 90, 1077-1087, 2018
Mandat: US National Institutes of Health, US Office of the Director of National …
Summary on the Multimodal Information Based Speech Processing (MISP) 2022 Challenge
H Chen, S Wu, Y Dai, Z Wang, J Du, CH Lee, J Chen, S Watanabe, ...
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Mandat: National Natural Science Foundation of China
Tersedia di suatu tempat: 21
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
Mandat: National Natural Science Foundation of China
Analyzing upper bounds on mean absolute errors for deep neural network-based vector-to-vector regression
J Qi, J Du, SM Siniscalchi, X Ma, CH Lee
IEEE Transactions on Signal Processing 68, 3411-3422, 2020
Mandat: National Natural Science Foundation of China
The first multimodal information based speech processing (misp) challenge: Data, tasks, baselines and results
H Chen, H Zhou, J Du, CH Lee, J Chen, S Watanabe, SM Siniscalchi, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Mandat: National Natural Science Foundation of China
Hyporadise: An open baseline for generative speech recognition with large language models
C Chen, Y Hu, CHH Yang, SM Siniscalchi, PY Chen, ES Chng
Advances in Neural Information Processing Systems 36, 2024
Mandat: National Research Foundation, Singapore
I-vector modeling of speech attributes for automatic foreign accent recognition
H Behravan, V Hautamäki, SM Siniscalchi, T Kinnunen, CH Lee
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (1), 29-41, 2015
Mandat: Academy of Finland
A theory on deep neural network based vector-to-vector regression with an illustration of its expressive power in speech enhancement
J Qi, J Du, SM Siniscalchi, CH Lee
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (12 …, 2019
Mandat: National Natural Science Foundation of China
Audio-visual speech recognition in misp2021 challenge: Dataset release and deep analysis
H Chen, J Du, Y Dai, CH Lee, SM Siniscalchi, S Watanabe, ...
Proceedings of the Annual Conference of the International Speech …, 2022
Mandat: Chinese Academy of Sciences, National Natural Science Foundation of China
The multimodal information based speech processing (misp) 2022 challenge: Audio-visual diarization and recognition
Z Wang, S Wu, H Chen, MK He, J Du, CH Lee, J Chen, S Watanabe, ...
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Mandat: National Natural Science Foundation of China
Sequence-to-sequence articulatory inversion through time convolution of sub-band frequency signals
AS Shahrebabaki, SM Siniscalchi, G Salvi, T Svendsen
database 1, 5, 2020
Mandat: Research Council of Norway, Government of Italy
Acoustic-to-articulatory mapping with joint optimization of deep speech enhancement and articulatory inversion models
AS Shahrebabaki, G Salvi, T Svendsen, SM Siniscalchi
IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 135-147, 2021
Mandat: Research Council of Norway, Government of Italy
Maximal figure-of-merit framework to detect multi-label phonetic features for spoken language recognition
I Kukanov, TN Trong, V Hautamäki, SM Siniscalchi, VM Salerno, KA Lee
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 682-695, 2020
Mandat: Academy of Finland, A*Star, Singapore
A Phonetic-Level Analysis of Different Input Features for Articulatory Inversion.
AS Shahrebabaki, N Olfati, AS Imran, SM Siniscalchi, T Svendsen
Interspeech, 3775-3779, 2019
Mandat: Research Council of Norway
Audio-visual wake word spotting in misp2021 challenge: Dataset release and deep analysis
H Zhou, J Du, G Zou, Z Nian, CH Lee, SM Siniscalchi, S Watanabe, ...
Proceedings of the Annual Conference of the International Speech …, 2022
Mandat: Chinese Academy of Sciences, National Natural Science Foundation of China
A reverberation-time-aware DNN approach leveraging spatial information for microphone array dereverberation
B Wu, M Yang, K Li, Z Huang, SM Siniscalchi, T Wang, CH Lee
EURASIP Journal on Advances in Signal Processing 2017, 1-13, 2017
Mandat: National Natural Science Foundation of China
Raw Speech-to-Articulatory Inversion by Temporal Filtering and Decimation.
AS Shahrebabaki, SM Siniscalchi, T Svendsen
Interspeech, 1184-1188, 2021
Mandat: Government of Italy
Transfer Learning of Articulatory Information Through Phone Information.
AS Shahrebabaki, N Olfati, SM Siniscalchi, G Salvi, T Svendsen
Interspeech, 2877-2881, 2020
Mandat: Research Council of Norway, Government of Italy
Joint Training of Multi-Channel-Condition Dereverberation and Acoustic Modeling of Microphone Array Speech for Robust Distant Speech Recognition.
F Ge, K Li, B Wu, SM Siniscalchi, Y Yan, CH Lee
Interspeech, 3847-3851, 2017
Mandat: National Natural Science Foundation of China
A two-stage deep modeling approach to articulatory inversion
AS Shahrebabaki, N Olfati, AS Imran, MH Johnsen, SM Siniscalchi, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Mandat: Research Council of Norway, Government of Italy
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