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Amir Hossein Poorjam
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2020 – today
- 2024
- [i5]Debarpan Bhattacharya, Amir H. Poorjam, Deepak Mittal, Sriram Ganapathy:
Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach. CoRR abs/2409.11123 (2024) - 2022
- [c11]Debottam Dutta, Debarpan Bhattacharya, Sriram Ganapathy, Amir Hossein Poorjam, Deepak Mittal, Maneesh Singh:
Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection. INTERSPEECH 2022: 2863-2867 - [i4]Deepak Mittal, Amir H. Poorjam, Debottam Dutta, Debarpan Bhattacharya, Zemin Yu, Sriram Ganapathy, Maneesh Kumar Singh:
Svadhyaya system for the Second Diagnosing COVID-19 using Acoustics Challenge 2021. CoRR abs/2206.05462 (2022) - [i3]Debottam Dutta, Debarpan Bhattacharya, Sriram Ganapathy, Amir H. Poorjam, Deepak Mittal, Maneesh Kumar Singh:
Interpretable Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection. CoRR abs/2206.13365 (2022) - 2021
- [j3]Yuki Saishu, Amir Hossein Poorjam
, Mads Græsbøll Christensen
A CNN-based approach to identification of degradations in speech signals. EURASIP J. Audio Speech Music. Process. 2021(1): 1-10 (2021) - [j2]Amir Hossein Poorjam
Automatic quality control and enhancement for voice-based remote Parkinson's disease detection. Speech Commun. 127: 1-16 (2021) - [c10]Flávio Ávila, Amir H. Poorjam, Deepak Mittal, Charles Dognin, Ananya Muguli
Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds. Interspeech 2021: 951-955
2010 – 2019
- 2019
- [j1]Amir Hossein Poorjam
Quality Control in Remote Speech Data Collection. IEEE J. Sel. Top. Signal Process. 13(2): 236-243 (2019) - [c9]Amir Hossein Poorjam
Quality Control of Voice Recordings in Remote Parkinson's Disease Monitoring Using the Infinite Hidden Markov Model. ICASSP 2019: 805-809 - [i2]Amir Hossein Poorjam, Mathew Shaji Kavalekalam, Liming Shi, Yordan P. Raykov, Jesper Rindom Jensen, Max A. Little, Mads Græsbøll Christensen:
Automatic Quality Control and Enhancement for Voice-Based Remote Parkinson's Disease Detection. CoRR abs/1905.11785 (2019) - 2018
- [c8]Mahmoud Fakhry
Speech Enhancement by Classification of Noisy Signals Decomposed Using NMF and Wiener Filtering. EUSIPCO 2018: 16-20 - [c7]Amir Hossein Poorjam
A Parametric Approach for Classification of Distortions in Pathological Voices. ICASSP 2018: 286-290 - [c6]Amir Hossein Poorjam
A Supervised Approach to Global Signal-to-Noise Ratio Estimation for Whispered and Pathological Voices. ICASSP 2018: 296-300 - 2017
- [c5]Amir Hossein Poorjam
Dominant Distortion Classification for Pre-Processing of Vowels in Remote Biomedical Voice Analysis. INTERSPEECH 2017: 289-293 - [c4]Amir Hossein Poorjam
Automatic Smoker Detection from Telephone Speech Signals. SPECOM 2017: 200-210 - 2016
- [c3]Kong-Aik Lee
The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS. INTERSPEECH 2016: 3211-3215 - [c2]Amir Hossein Poorjam, Rahim Saeidi, Tomi Kinnunen, Ville Hautamäki
Incorporating uncertainty as a Quality Measure in I-Vector Based Language Recognition. Odyssey 2016: 74-80 - [i1]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:
Fantastic 4 system for NIST 2015 Language Recognition Evaluation. CoRR abs/1602.01929 (2016) - 2015
- [c1]Amir Hossein Poorjam, Mohamad Hasan Bahari, Vasileios Vasilakakis, Hugo Van hamme
Height estimation from speech signals using i-vectors and least-squares support vector regression. TSP 2015: 1-5
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