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 (TSP, 2015)

The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS. - Kong-Aik Lee; Haizhou Li 001; Li Deng 001; Ville Hautamäki; Wei Rao 002; Xiong Xiao; Anthony Larcher; Hanwu Sun; Trung Hieu Nguyen 001; Guangsen Wang; Aleksandr Sizov; Jianshu Chen; et al. (INTERSPEECH, 2016)

Incorporating uncertainty as a Quality Measure in I-Vector Based Language Recognition. - Amir Hossein Poorjam; Rahim Saeidi; Tomi Kinnunen; Ville Hautamäki (Odyssey, 2016)

Fantastic 4 system for NIST 2015 Language Recognition Evaluation. - Kong-Aik Lee; Ville Hautamäki; Anthony Larcher; Wei Rao 002; Hanwu Sun; Trung Hieu Nguyen 001; Guangsen Wang; Aleksandr Sizov; Ivan Kukanov; Amir Hossein Poorjam; Trung Ngo Trong; Xiong Xiao; et al. (CoRR, 2016)

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 (INTERSPEECH, 2017)

Automatic Smoker Detection from Telephone Speech Signals. - Amir Hossein Poorjam; Soheila Hesaraki; Saeid Safavi 001; Hugo Van hamme; Mohamad Hasan Bahari (SPECOM, 2017)

Speech Enhancement by Classification of Noisy Signals Decomposed Using NMF and Wiener Filtering. - Mahmoud Fakhry; Amir Hossein Poorjam; Mads Græsbøll Christensen (EUSIPCO, 2018)

A Parametric Approach for Classification of Distortions in Pathological Voices. - Amir Hossein Poorjam; Max A. Little; Jesper Rindom Jensen; Mads Græsbøll Christensen (ICASSP, 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 (ICASSP, 2018)

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 (ICASSP, 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)

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 001 (Interspeech, 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)

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)

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 001 (INTERSPEECH, 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 001 (CoRR, 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 001 (CoRR, 2022)

Gradient-Free Post-Hoc Explainability Using Distillation Aided Learnable Approach. - Debarpan Bhattacharya; Amir H. Poorjam; Deepak Mittal; Sriram Ganapathy (IEEE J. Sel. Top. Signal Process., 2025)