Srinivas Parthasarathy
Srinivas Parthasarathy
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MSP-IMPROV: An acted corpus of dyadic interactions to study emotion perception
C Busso, S Parthasarathy, A Burmania, M AbdelWahab, N Sadoughi, ...
IEEE Transactions on Affective Computing 8 (1), 67-80, 2016
1032016
Jointly Predicting Arousal, Valence and Dominance with Multi-Task Learning.
S Parthasarathy, C Busso
Interspeech, 1103-1107, 2017
652017
Increasing the reliability of crowdsourcing evaluations using online quality assessment
A Burmania, S Parthasarathy, C Busso
IEEE Transactions on Affective Computing 7 (4), 374-388, 2015
642015
Ladder networks for emotion recognition: Using unsupervised auxiliary tasks to improve predictions of emotional attributes
S Parthasarathy, C Busso
arXiv preprint arXiv:1804.10816, 2018
242018
Using agreement on direction of change to build rank-based emotion classifiers
S Parthasarathy, R Cowie, C Busso
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (11 …, 2016
182016
A study of speaker verification performance with expressive speech
S Parthasarathy, C Zhang, JHL Hansen, C Busso
Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017
152017
Convolutional neural network techniques for speech emotion recognition
S Parthasarathy, I Tashev
2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC …, 2018
142018
Ranking emotional attributes with deep neural networks
S Parthasarathy, R Lotfian, C Busso
Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017
132017
Defining emotionally salient regions using qualitative agreement method
S Parthasarathy, C Busso
Interspeech 2016}, 3598-3602, 2016
122016
Role of Regularization in the Prediction of Valence from Speech.
K Sridhar, S Parthasarathy, C Busso
INTERSPEECH, 941-945, 2018
112018
Automatic broadcast news summarization via rank classifiers and crowdsourced annotation
S Parthasarathy, T Hasan
2015 IEEE international conference on acoustics, speech and signal …, 2015
102015
Improving emotion classification through variational inference of latent variables
S Parthasarathy, V Rozgic, M Sun, C Wang
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
82019
Semi-supervised speech emotion recognition with ladder networks
S Parthasarathy, C Busso
IEEE/ACM transactions on audio, speech, and language processing, 2020
72020
Predicting speaker recognition reliability by considering emotional content
S Parthasarathy, C Busso
2017 Seventh International Conference on Affective Computing and Intelligent …, 2017
62017
Preference-Learning with Qualitative Agreement for Sentence Level Emotional Annotations.
S Parthasarathy, C Busso
INTERSPEECH, 252-256, 2018
52018
Comparison of two computationally feasible image deblurring techniques for smartphones
CH Chang, S Parthasarthy, N Kehtarnavaz
2013 IEEE Global Conference on Signal and Information Processing, 743-746, 2013
42013
Multimodal and multiresolution speech recognition with transformers
G Paraskevopoulos, S Parthasarathy, A Khare, S Sundaram
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
32020
Predicting emotionally salient regions using qualitative agreement of deep neural network regressors
S Parthasarathy, C Busso
IEEE Transactions on Affective Computing, 2018
32018
Automatic composition of broadcast news summaries using rank classifiers trained with acoustic and lexical features
T Hasan, M Abdelwahab, S Parthasarathy, C Busso, Y Liu
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
32016
Multiresolution and Multimodal Speech Recognition with Transformers
G Paraskevopoulos, S Parthasarathy, A Khare, S Sundaram
arXiv preprint arXiv:2004.14840, 2020
12020
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