| Voice Conversion Based on Feature Combination with Limited Training Data Mostafa Ghorbandoost, Abolghasem Sayadiyan, Mohsen Ahangar, Hamid ... Speech Communication, 2014 | 20* | 2014 |
| 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 | 7 | 2019 |
| 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 | 6 | 2020 |
| A comparative study of deep learning techniques on frame-level speech data classification A Sabzi Shahrebabaki, AS Imran, N Olfati, T Svendsen Circuits, Systems, and Signal Processing 38 (8), 3501-3520, 2019 | 5 | 2019 |
| Voice conversion based on State Space Model and considering global variance M Ahangar, M Ghorbandoost, H Sheikhzadeh, K Raahemifar, ... Signal Processing and Information Technology(ISSPIT), 2013 IEEE …, 2013 | 5 | 2013 |
| Speech analysis/synthesis by Gaussian mixture approximation of the speech spectrum for voice conversion J Amini, AS Shahrebabaki, N Shokouhi, H Sheikhzadeh, K Raahemifar, ... Signal Processing and Information Technology(ISSPIT), 2013 IEEE …, 2013 | 5 | 2013 |
| Acoustic feature comparison for different speaking rates AS Shahrebabaki, AS Imran, N Olfati, T Svendsen International Conference on Human-Computer Interaction, 176-189, 2018 | 4 | 2018 |
| Transfer Learning of Articulatory Information Through Phone Information. AS Shahrebabaki, N Olfati, SM Siniscalchi, G Salvi, T Svendsen INTERSPEECH, 2877-2881, 2020 | 2 | 2020 |
| A Study on the Performance Evaluation of Machine Learning Models for Phoneme Classification AS Imran, AS Shahrebabaki, N Olfati, T Svendsen Proceedings of the 2019 11th International Conference on Machine Learning …, 2019 | 2 | 2019 |
| Reduced Search Space Frame Alignment Based on Kullback-Leibler Divergence for Voice Conversion A Sabzi Shahrebabaki, J Amini, H Sheikhzadeh, M Ghorbandoost, ... NOLISP 2013, 83-88, 2013 | 2* | 2013 |
| Evaluating Acoustic Feature Maps in 2D-CNN for Speaker Identification AS Imran, V Haflan, AS Shahrebabaki, N Olfati, TK Svendsen Proceedings of the 2019 11th International Conference on Machine Learning …, 2019 | 1 | 2019 |
| Autoencoder-based generation of subsurface models AS Shahrebabaki, SH Fouladi, E Holtar, L Vynnytska Second EAGE Digitalization Conference and Exhibition 2022 (1), 1-5, 2022 | | 2022 |
| 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 | | 2021 |
| Raw Speech-to-Articulatory Inversion by Temporal Filtering and Decimation. T Shahrebabaki, A.S., Siniscalchi, S.M., Svendsen Proc. Interspeech 2021, 1184-1188, 2021 | | 2021 |
| A DNN Based Speech Enhancement Approach to Noise Robust Acoustic-to-Articulatory Inversion AS Shahrebabaki, SM Siniscalchi, G Salvi, T Svendsen 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | | 2021 |
| A Two-Stage Deep Modeling Approach to Articulatory Inversion AS Shahrebabaki, N Olfati, AS Imran, MH Johnsen, SM Siniscalchi, ... 2021 IEEE International Conference on Acoustics, Speech and Signal …, 2021 | | 2021 |
Torbjørn SvendsenProfessor, NTNUAdresse e-mail validée de iet.ntnu.no
