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Amir Hossein Poorjam
Amir Hossein Poorjam
Verisk Analytics
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Cited by
Year
The 2015 NIST language recognition evaluation: the shared view of I2R, Fantastic4 and SingaMS
KA Lee, H Li, L Deng, V Hautamäki, W Rao, X Xiao, A Larcher, H Sun, ...
Interspeech 2016 2016, 3211-3215, 2016
252016
Dominant distortion classification for pre-processing of vowels in remote biomedical voice analysis
AH Poorjam, JR Jensen, MA Little, MG Christensen
Interspeech 2017, 289-293, 2017
242017
Multitask Speaker Profiling for Estimating Age, Height, Weight and Smoking Habits from Spontaneous Telephone Speech Signals
AH Poorjam, MH Bahari, H Van hamme
4th International Conference on Computer and Knowledge Engineering, 2014
242014
Height estimation from speech signals using i-vectors and least-squares support vector regression
AH Poorjam, MH Bahari, V Vasilakakis, H Van hamme
Telecommunications and Signal Processing (TSP), 2015 38th International …, 2015
222015
Incorporating uncertainty as a Quality Measure in I-Vector Based Language Recognition.
AH Poorjam, R Saeidi, T Kinnunen, V Hautamäki
Odyssey, 74-80, 2016
172016
Automatic quality control and enhancement for voice-based remote Parkinson’s disease detection
AH Poorjam, MS Kavalekalam, L Shi, JP Raykov, JR Jensen, MA Little, ...
Speech Communication 127, 1-16, 2021
152021
Quality Control of Voice Recordings in Remote Parkinson's Disease Monitoring using the Infinite Hidden Markov Model
AH Poorjam, YP Raykov, R Badawy, JR Jensen, MG Christensen, ...
2019 IEEE International Conference on Acoustics, Speech and Signal …, 2019
112019
A parametric approach for classification of distortions in pathological voices
AH Poorjam, MA Little, JR Jensen, MG Christensen
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
102018
A supervised approach to global signal-to-noise ratio estimation for whispered and pathological voices
AH Poorjam, MA Little, JR Jensen, MG Christensen
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
92018
Speech Enhancement by Classification of Noisy Signals Decomposed Using NMF and Wiener Filtering
M Fakhry, AH Poorjam, MG Christensen
26th European Signal Processing Conference (EUSIPCO 2018), 2018
82018
Speaker profiling for forensic applications
AH Poorjam
Master’s thesis, KU Leuven–Faculty of Engineering Science, 2014
7*2014
Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds
F Avila, AH Poorjam, D Mittal, C Dognin, A Muguli, R Kumar, ...
Proc. Interspeech 2021, 951-955, 2021
62021
Speaker weight estimation from speech signals using a fusion of the i-vector and NFA frameworks
AH Poorjam, MH Bahari, H Van hamme
Artificial Intelligence and Signal Processing (AISP), 2015 International …, 2015
42015
Quality Control in Remote Speech Data Collection
AH Poorjam, MA Little, JR Jensen, MG Christensen
IEEE Journal of Selected Topics in Signal Processing 13 (2), 2019
32019
Automatic smoker detection from telephone speech signals
AH Poorjam, S Hesaraki, S Safavi, H van Hamme, MH Bahari
Lecture Notes in Computer Science, 200-210, 2017
32017
A CNN-based approach to identification of degradations in speech signals
Y Saishu, AH Poorjam, MG Christensen
EURASIP Journal on Audio, Speech, and Music Processing 2021 (9), 1-10, 2021
22021
Systems and Methods for Machine Learning of Voice Attributes
E Edwards, S De Zilwa, N Irwin, A Poorjam, F Avila, KL Lew, C Sirota
US Patent App. 16/889,326, 2020
22020
A Novel Approach to Speaker Weight Estimation Using a Fusion of the i-vector and NFA Frameworks
AH Poorjam, MH Bahari, H Van hamme
Journal of Electrical Systems and Signals 3 (1), 2017
22017
Fantastic 4 system for NIST 2015 Language Recognition Evaluation
KA Lee, V Hautamäki, A Larcher, W Rao, H Sun, TH Nguyen, G Wang, ...
arXiv preprint arXiv:1602.01929, 2016
22016
Systems and Methods for Machine Learning of Voice Attributes
E Edwards, S De Zilwa, N Irwin, A Poorjam, F Avila, KL Lew, C Sirota
US Patent App. 16/889,307, 2020
12020
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