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Meysam Asgari
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2020 – today
- 2022
- [c19]Liu Chen, Meysam Asgari, Hiroko H. Dodge:
Optimize Wav2vec2s Architecture for Small Training Set Through Analyzing its Pre-Trained Models Attention Pattern. ICASSP 2022: 7112-7116 - 2021
- [c18]Liu Chen, Meysam Asgari:
Refining Automatic Speech Recognition System for Older Adults. ICASSP 2021: 7003-7007 - [i2]Liu Chen, Meysam Asgari:
Interpreting A Pre-trained Model Is A Key For Model Architecture Optimization: A Case Study On Wav2Vec 2.0. CoRR abs/2104.02851 (2021) - 2020
- [c17]Yiyi Wang, Emily Prud'hommeaux, Meysam Asgari, Jill Dolata:
Automated Scoring of Clinical Expressive Language Evaluation Tasks. BEA@ACL 2020: 177-185 - [c16]Robert Gale, Jill Dolata, Emily Prud'hommeaux, Jan P. H. van Santen, Meysam Asgari:
Automatic Assessment of Language Ability in Children with and without Typical Development. EMBC 2020: 6111-6114 - [i1]Liu Chen, Meysam Asgari:
Refining Automatic Speech Recognition System for older adults. CoRR abs/2011.08346 (2020)
2010 – 2019
- 2019
- [c15]Robert Gale, Liu Chen, Jill Dolata, Jan P. H. van Santen, Meysam Asgari:
Improving ASR Systems for Children with Autism and Language Impairment Using Domain-Focused DNN Transfer Techniques. INTERSPEECH 2019: 11-15 - 2018
- [j3]Meysam Asgari, Izhak Shafran:
Improvements to harmonic model for extracting better speech features in clinical applications. Comput. Speech Lang. 47: 298-313 (2018) - [j2]Shiran Dudy, Steven Bedrick
, Meysam Asgari, Alexander Kain:
Automatic analysis of pronunciations for children with speech sound disorders. Comput. Speech Lang. 50: 62-84 (2018) - 2017
- [c14]Meysam Asgari, Jan P. H. van Santen, Katina Papadakis
Automatic Scoring of a Nonword Repetition Test. ICMLA 2017: 304-308 - 2016
- [c13]Mahesh C. Shastry, Meysam Asgari, Eric A. Wan, Joseph Leitschuh, Nicholas Preiser, Jon Folsom, John Condon, Michelle Cameron
Context-aware fall detection using inertial sensors and time-of-flight transceivers. EMBC 2016: 570-573 - [c12]Meysam Asgari, Allison Sliter, Jan P. H. van Santen
Automatic Scoring of a Sentence Repetition Task from Voice Recordings. TSD 2016: 470-477 - 2015
- [j1]Alireza Bayestehtashk, Meysam Asgari, Izhak Shafran, James McNames:
Fully automated assessment of the severity of Parkinson's disease from speech. Comput. Speech Lang. 29(1): 172-185 (2015) - [c11]Shiran Dudy, Meysam Asgari, Alexander Kain:
Pronunciation analysis for children with speech sound disorders. EMBC 2015: 5573-5576 - 2014
- [c10]Meysam Asgari, Géza Kiss, Jan P. H. van Santen
Automatic measurement of affective valence and arousal in speech. ICASSP 2014: 965-969 - [c9]Meysam Asgari, Izhak Shafran, Alireza Bayestehtashk:
Inferring social contexts from audio recordings using deep neural networks. MLSP 2014: 1-6 - [c8]Meysam Asgari, Izhak Shafran, Lisa B. Sheeber:
Inferring clinical depression from speech and spoken utterances. MLSP 2014: 1-5 - 2013
- [c7]Meysam Asgari, Alireza Bayestehtashk, Izhak Shafran:
Robust and accurate features for detecting and diagnosing autism spectrum disorders. INTERSPEECH 2013: 191-194 - [c6]Meysam Asgari, Izhak Shafran:
Improving the accuracy and the robustness of harmonic model for pitch estimation. INTERSPEECH 2013: 1936-1940 - 2012
- [c5]Anthony P. Stark, Alireza Bayestehtashk, Meysam Asgari, Izhak Shafran:
Interspeech Pathology Challenge: Investigations into Speaker and Sentence Specific Effects. INTERSPEECH 2012: 538-541 - [c4]Meysam Asgari, Izhak Shafran, Alireza Bayestehtashk:
Robust detection of voiced segments in samples of everyday conversations using unsupervised HMMS. SLT 2012: 438-442
2000 – 2009
- 2009
- [c3]Meysam Asgari, Mahdi Fallah, Elahe Abouie Mehrizi, Ali Mostafavi:
A VQ-Based Single-Channel Audio Separation for Music/Speech Mixtures. UKSim 2009: 223-227 - [c2]Mahdi Fallah, Meysam Asgari:
Single-Channel Audio Sources Separation via Optimum Mask Filter. UKSim 2009: 228-232 - [c1]Meysam Asgari, Abolghasem Sayyadiyan, Farhad Tehranipour, Ali Mostafavi:
Novel Voice Activity Detection Based on Vector Quantization. UKSim 2009: 255-257
Coauthor Index
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