Abdolreza Sabzi Shahrebabaki

PhD thesis, 2022

Acoustic-to-Articulatory Mapping With Joint Optimization of Deep Speech Enhancement and Articulatory Inversion Models.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2022

2021

A DNN Based Speech Enhancement Approach to Noise Robust Acoustic-to-Articulatory Inversion.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Raw Speech-to-Articulatory Inversion by Temporal Filtering and Decimation.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

A Two-Stage Deep Modeling Approach to Articulatory Inversion.

[BibT_eX]

[DOI]

Magne Hallstein Johnsen

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Sequence-to-Sequence Articulatory Inversion Through Time Convolution of Sub-Band Frequency Signals.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

Transfer Learning of Articulatory Information Through Phone Information.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

2019

A Comparative Study of Deep Learning Techniques on Frame-Level Speech Data Classification.

[BibT_eX]

[DOI]

Circuits Syst. Signal Process., 2019

A Phonetic-Level Analysis of Different Input Features for Articulatory Inversion.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2019, 2019

A Study on the Performance Evaluation of Machine Learning Models for Phoneme Classification.

[BibT_eX]

[DOI]

Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

Evaluating Acoustic Feature Maps in 2D-CNN for Speaker Identification.

[BibT_eX]

[DOI]

Vetle Haflan

Torbjørn Karl Svendsen

Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

2018

Acoustic Feature Comparison for Different Speaking Rates.

[BibT_eX]

[DOI]