Amir Hossein Poorjam

According to our database, Amir Hossein Poorjam authored at least 18 papers between 2015 and 2024.

Collaborative distances:

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

2024

Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach.

Debarpan Bhattacharya, Amir H. Poorjam, Deepak Mittal, Sriram Ganapathy

CoRR, 2024

2022

Interpretable Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection.

Debottam Dutta, Debarpan Bhattacharya, Sriram Ganapathy, Amir H. Poorjam, Deepak Mittal, Maneesh Kumar Singh

CoRR, 2022

Svadhyaya system for the Second Diagnosing COVID-19 using Acoustics Challenge 2021.

Deepak Mittal, Amir H. Poorjam, Debottam Dutta, Debarpan Bhattacharya, Zemin Yu, Sriram Ganapathy, Maneesh Kumar Singh

CoRR, 2022

Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection.

Debottam Dutta, Debarpan Bhattacharya, Sriram Ganapathy, Amir Hossein Poorjam, Deepak Mittal, Maneesh Singh

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Automatic quality control and enhancement for voice-based remote Parkinson's disease detection.

Amir Hossein Poorjam, Mathew Shaji Kavalekalam, Liming Shi, Yordan P. Raykov, Jesper Rindom Jensen, Max A. Little, Mads Græsbøll Christensen

Speech Commun., 2021

A CNN-based approach to identification of degradations in speech signals.

Yuki Saishu, Amir Hossein Poorjam, Mads Græsbøll Christensen

EURASIP J. Audio Speech Music. Process., 2021

Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds.

Flávio Ávila, Amir H. Poorjam, Deepak Mittal, Charles Dognin, Ananya Muguli, Rohit Kumar, Srikanth Raj Chetupalli, Sriram Ganapathy, Maneesh Singh

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

2019

Quality Control in Remote Speech Data Collection.

Amir Hossein Poorjam, Max A. Little, Jesper Rindom Jensen, Mads Græsbøll Christensen

IEEE J. Sel. Top. Signal Process., 2019

Quality Control of Voice Recordings in Remote Parkinson's Disease Monitoring Using the Infinite Hidden Markov Model.

Amir Hossein Poorjam, Yordan P. Raykov, Reham Badawy, Jesper Rindom Jensen, Mads Græsbøll Christensen, Max A. Little

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

A Supervised Approach to Global Signal-to-Noise Ratio Estimation for Whispered and Pathological Voices.

Amir Hossein Poorjam, Max A. Little, Jesper Rindom Jensen, Mads Græsbøll Christensen

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Parametric Approach for Classification of Distortions in Pathological Voices.

Amir Hossein Poorjam, Max A. Little, Jesper Rindom Jensen, Mads Græsbøll Christensen

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Speech Enhancement by Classification of Noisy Signals Decomposed Using NMF and Wiener Filtering.

Mahmoud Fakhry, Amir Hossein Poorjam, Mads Græsbøll Christensen

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Automatic Smoker Detection from Telephone Speech Signals.

Amir Hossein Poorjam, Soheila Hesaraki, Saeid Safavi, Hugo Van hamme, Mohamad Hasan Bahari

Proceedings of the Speech and Computer - 19th International Conference, 2017

Dominant Distortion Classification for Pre-Processing of Vowels in Remote Biomedical Voice Analysis.

Amir Hossein Poorjam, Jesper Rindom Jensen, Max A. Little, Mads Græsbøll Christensen

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2016

Fantastic 4 system for NIST 2015 Language Recognition Evaluation.

Kong-Aik Lee, Ville Hautamäki, Anthony Larcher, Wei Rao, Hanwu Sun, Trung Hieu Nguyen, Guangsen Wang, Aleksandr Sizov, Ivan Kukanov, Amir Hossein Poorjam, Trung Ngo Trong, Xiong Xiao, Chenglin Xu, Haihua Xu, Bin Ma, Haizhou Li, Sylvain Meignier

CoRR, 2016

Incorporating uncertainty as a Quality Measure in I-Vector Based Language Recognition.

Amir Hossein Poorjam, Rahim Saeidi, Tomi Kinnunen, Ville Hautamäki

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

The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS.

Kong-Aik Lee, Haizhou Li, Li Deng, Ville Hautamäki, Wei Rao, Xiong Xiao, Anthony Larcher, Hanwu Sun, Trung Hieu Nguyen, Guangsen Wang, Aleksandr Sizov, Jianshu Chen, Ivan Kukanov, Amir Hossein Poorjam, Trung Ngo Trong, Chenglin Xu, Haihua Xu, Bin Ma, Eng Siong Chng, Sylvain Meignier

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2015

Height estimation from speech signals using i-vectors and least-squares support vector regression.

Amir Hossein Poorjam, Mohamad Hasan Bahari, Vasileios Vasilakakis, Hugo Van hamme

Proceedings of the 38th International Conference on Telecommunications and Signal Processing, 2015