Hamid Behravan

According to our database, Hamid Behravan authored at least 10 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

A Multi-View Deep Evidential Learning Approach for Mammogram Density Classification.

Naga Raju Gudhe, Mazen Sudah, Reijo Sund, Veli-Matti Kosma, Hamid Behravan, Arto Mannermaa

IEEE Access, 2024

2022

Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning.

Naga Raju Gudhe, Veli-Matti Kosma, Hamid Behravan, Arto Mannermaa

BMC Bioinform., December, 2022

2016

i-Vector Modeling of Speech Attributes for Automatic Foreign Accent Recognition.

Hamid Behravan, Ville Hautamäki, Sabato Marco Siniscalchi, Tomi Kinnunen, Chin-Hui Lee

IEEE ACM Trans. Audio Speech Lang. Process., 2016

Out-of-Set i-Vector Selection for Open-set Language Identification.

Hamid Behravan, Tomi Kinnunen, Ville Hautamäki

Proceedings of the Odyssey 2016: The Speaker and Language Recognition Workshop, 2016

2015

Factors affecting i-vector based foreign accent recognition: A case study in spoken Finnish.

Hamid Behravan, Ville Hautamäki, Tomi Kinnunen

Speech Commun., 2015

Boosting universal speech attributes classification with deep neural network for foreign accent characterization.

Ville Hautamäki, Sabato Marco Siniscalchi, Hamid Behravan, Valerio Mario Salerno, Ivan Kukanov

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

2014

Dialect levelling in Finnish: a universal speech attribute approach.

Hamid Behravan, Ville Hautamäki, Sabato Marco Siniscalchi, Elie Khoury, Tommi Kurki, Tomi Kinnunen, Chin-Hui Lee

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Introducing attribute features to foreign accent recognition.

Hamid Behravan, Ville Hautamäki, Sabato Marco Siniscalchi, Tomi Kinnunen, Chin-Hui Lee

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Foreign accent detection from spoken Finnish using i-vectors.

Hamid Behravan, Ville Hautamäki, Tomi Kinnunen

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

2010

Gender Classification Using Single Frontal Image Per Person: Combination of Appearance and Geometric Based Features.

Saeed Mozaffari, Hamid Behravan, Rohollah Akbari

Proceedings of the 20th International Conference on Pattern Recognition, 2010