مقالات بحثية تمّ التفويض بإتاحتها للجميع - Izhak Shafranمزيد من المعلومات
عدد المقالات البحثية غير المتاحة للجميع في أي موقع: 2
Efficient and accurate multivariate class conditional densities using copula
A Bayestehtashk, I Shafran
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
التفويضات: US National Institutes of Health
Detecting vocalizations of individual monkeys in social groups
A Bayestehtashk, I Shafran, K Coleman, N Robertson
2014 36th annual international conference of the IEEE engineering in …, 2014
التفويضات: US National Institutes of Health
عدد المقالات البحثية المتاحة للجميع في موقع ما: 23
React: Synergizing reasoning and acting in language models
S Yao, J Zhao, D Yu, N Du, I Shafran, K Narasimhan, Y Cao
International Conference on Learning Representations (ICLR), 2023
التفويضات: US National Science Foundation
Tree of thoughts: Deliberate problem solving with large language models
S Yao, D Yu, J Zhao, I Shafran, T Griffiths, Y Cao, K Narasimhan
Advances in neural information processing systems 36, 11809-11822, 2023
التفويضات: US National Science Foundation
Fully automated assessment of the severity of Parkinson's disease from speech
A Bayestehtashk, M Asgari, I Shafran, J McNames
Computer speech & language 29 (1), 172-185, 2015
التفويضات: US National Institutes of Health
Fully automated neuropsychological assessment for detecting mild cognitive impairment.
M Lehr, ET Prud'hommeaux, I Shafran, B Roark
Interspeech 2012, 2012
التفويضات: US National Institutes of Health
Predicting severity of Parkinson's disease from speech
M Asgari, I Shafran
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
التفويضات: US National Institutes of Health
Inferring clinical depression from speech and spoken utterances
M Asgari, I Shafran, LB Sheeber
2014 IEEE international workshop on Machine Learning for Signal Processing …, 2014
التفويضات: US National Institutes of Health
Robust and accurate features for detecting and diagnosing autism spectrum disorders
M Asgari, A Bayestehtashk, I Shafran
Interspeech 2013, 191, 2013
التفويضات: US National Institutes of Health
Inferring functional connectivity in MRI using Bayesian network structure learning with a modified PC algorithm
SP Iyer, I Shafran, D Grayson, K Gates, JT Nigg, DA Fair
Neuroimage 75, 165-175, 2013
التفويضات: US National Institutes of Health
Extracting cues from speech for predicting severity of Parkinson's disease
M Asgari, I Shafran
2010 IEEE international workshop on machine learning for signal processing …, 2010
التفويضات: US National Institutes of Health
Discriminative pronunciation modeling for dialectal speech recognition.
M Lehr, K Gorman, I Shafran
INTERSPEECH, 1458-1462, 2014
التفويضات: US National Institutes of Health
Learning a discriminative weighted finite-state transducer for speech recognition
M Lehr, I Shafran
IEEE Transactions on Audio, Speech, and Language Processing 19 (5), 1360-1367, 2010
التفويضات: US National Institutes of Health
Discriminatively estimated joint acoustic, duration, and language model for speech recognition
M Lehr, I Shafran
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
التفويضات: US National Institutes of Health
Automatic measurement of affective valence and arousal in speech
M Asgari, G Kiss, J Van Santen, I Shafran, X Song
2014 IEEE international conference on acoustics, speech and signal …, 2014
التفويضات: US National Institutes of Health
Discriminative joint modeling of lexical variation and acoustic confusion for automated narrative retelling assessment
M Lehr, I Shafran, E Prud’Hommeaux, B Roark
Proceedings of the 2013 Conference of the North American Chapter of the …, 2013
التفويضات: US National Institutes of Health
Parsimonious multivariate copula model for density estimation
A Bayestehtashk, I Shafran
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
التفويضات: US National Institutes of Health
Improving the accuracy and the robustness of harmonic model for pitch estimation.
M Asgari, I Shafran
Interspeech, 1936-1940, 2013
التفويضات: US National Institutes of Health
Hello, who is calling?: can words reveal the social nature of conversations?
A Stark, I Shafran, J Kaye
Proceedings of the conference. Association for Computational Linguistics …, 2012
التفويضات: US National Institutes of Health
Inferring social contexts from audio recordings using deep neural networks
M Asgari, I Shafran, A Bayestehtashk
2014 IEEE International Workshop on Machine Learning for Signal Processing …, 2014
التفويضات: US National Institutes of Health
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