Amir Harati

Psychology · Social Sciences

9h-index361citations23works0.22yr avg
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Research Topics

Mental Health via Writing(11), Emotion and Mood Recognition(8), Speech Recognition and Synthesis(4), EEG and Brain-Computer Interfaces(4), Digital Mental Health Interventions(3)

Publications23 total

Optimizing Speech-Input Length for Speaker-Independent Depression Classification
arXiv (Cornell University)·2024Open Access
Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language
arXiv (Cornell University)·2024· 1 citedOpen Access
Depression and Anxiety Prediction Using Deep Language Models and Transfer Learning
arXiv (Cornell University)·2024Open Access
Cross-Demographic Portability of Deep NLP-Based Depression Models
arXiv (Cornell University)·2024Open Access
Robust Speech and Natural Language Processing Models for Depression Screening
arXiv (Cornell University)·2024Open Access
Speech-Based Depression Prediction Using Encoder-Weight-Only Transfer Learning and a Large Corpus
arXiv (Cornell University)·2024Open Access
Probabilistic Performance Bounds for Evaluating Depression Models Given Noisy Self-Report Labels
2023· 1 cited
Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language
Interspeech 2022·2022· 8 cited
Feasibility of a Machine Learning-Based Smartphone Application in Detecting Depression and Anxiety in a Generally Senior Population
Frontiers in Psychology·2022· 25 citedOpen Access
Generalization of Deep Acoustic and NLP Models for Large-Scale Depression Screening
2022· 4 cited
Speech-Based Depression Prediction Using Encoder-Weight-Only Transfer Learning and a Large Corpus
2021· 25 cited
Cross-Demographic Portability of Deep NLP-Based Depression Models
2021· 11 cited
Robust Speech and Natural Language Processing Models for Depression Screening
2020· 8 cited
Depression and Anxiety Prediction Using Deep Language Models and Transfer Learning
2020· 25 cited
Comparing speech recognition services for HCI applications in behavioral health
2020· 6 cited
Optimizing Speech-Input Length for Speaker-Independent Depression Classification
2019· 17 cited
Improved EEG event classification using differential energy
2015· 42 citedOpen Access
The TUH EEG CORPUS: A big data resource for automated EEG interpretation
2014· 124 cited
A Comparative Analysis of Bayesian Nonparametric Inference Algorithms for Acoustic Modeling in Speech Recognition
Lecture notes in electrical engineering·2014· 2 cited
A Big-Data Approach to Automated EEG Labeling
Frontiers in Neuroinformatics·2014· 1 citedOpen Access
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Frequent Co-authors

Elizabeth Shriberg(14), Piotr Chlebek(14), Yang Lü(12), Tomasz Rutowski(11), Ricardo Oliveira(10), J. Picone(5), Iyad Obeid(3), Tomek Rutowski(3), Lu Yang(3), Ricardo C. L. F. Oliveira(3), Mercedes Jacobson(2), Philip M. Polgreen(2), David Lin(2), Tomasz Rutowski(2), E. Shriberg(2), S. Lopez(1), Steven Tobochnik(1), Meysam Golmohammadi(1), S. Lopez(1), Danny Parker(1)