Srinivas Parthasarathy

According to our database, Srinivas Parthasarathy authored at least 26 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Scene Representation Learning from Videos Using Self-Supervised and Weakly-Supervised Techniques.

Raghuveer Peri, Srinivas Parthasarathy, Shiva Sundaram

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Predicting Emotionally Salient Regions Using Qualitative Agreement of Deep Neural Network Regressors.

Srinivas Parthasarathy, Carlos Busso

IEEE Trans. Affect. Comput., 2021

Detecting Expressions with Multimodal Transformers.

Srinivas Parthasarathy, Shiva Sundaram

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Self-Supervised Learning with Cross-Modal Transformers for Emotion Recognition.

Aparna Khare, Srinivas Parthasarathy, Shiva Sundaram

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Disentanglement for Audio-Visual Emotion Recognition Using Multitask Setup.

Raghuveer Peri, Srinivas Parthasarathy, Charles Bradshaw, Shiva Sundaram

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Semi-Supervised Speech Emotion Recognition With Ladder Networks.

Srinivas Parthasarathy, Carlos Busso

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Multiresolution and Multimodal Speech Recognition with Transformers.

Georgios Paraskevopoulos, Srinivas Parthasarathy, Aparna Khare, Shiva Sundaram

CoRR, 2020

Multi-Modal Embeddings Using Multi-Task Learning for Emotion Recognition.

Aparna Khare, Srinivas Parthasarathy, Shiva Sundaram

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Training Strategies to Handle Missing Modalities for Audio-Visual Expression Recognition.

Srinivas Parthasarathy, Shiva Sundaram

Proceedings of the Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020

Multimodal and Multiresolution Speech Recognition with Transformers.

Georgios Paraskevopoulos, Srinivas Parthasarathy, Aparna Khare, Shiva Sundaram

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Improving Emotion Classification through Variational Inference of Latent Variables.

Srinivas Parthasarathy, Viktor Rozgic, Ming Sun, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Convolutional Neural Network Techniques for Speech Emotion Recognition.

Srinivas Parthasarathy, Ivan Tashev

Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

Role of Regularization in the Prediction of Valence from Speech.

Kusha Sridhar, Srinivas Parthasarathy, Carlos Busso

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary Tasks to Improve Predictions of Emotional Attributes.

Srinivas Parthasarathy, Carlos Busso

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Preference-Learning with Qualitative Agreement for Sentence Level Emotional Annotations.

Srinivas Parthasarathy, Carlos Busso

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017

MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception.

Carlos Busso, Srinivas Parthasarathy, Alec Burmania, Mohammed Abdel-Wahab, Najmeh Sadoughi, Emily Mower Provost

IEEE Trans. Affect. Comput., 2017

Jointly Predicting Arousal, Valence and Dominance with Multi-Task Learning.

Srinivas Parthasarathy, Carlos Busso

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

A study of speaker verification performance with expressive speech.

Srinivas Parthasarathy, Chunlei Zhang, John H. L. Hansen, Carlos Busso

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Ranking emotional attributes with deep neural networks.

Srinivas Parthasarathy, Reza Lotfian, Carlos Busso

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Predicting speaker recognition reliability by considering emotional content.

Srinivas Parthasarathy, Carlos Busso

Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

2016

Using Agreement on Direction of Change to Build Rank-Based Emotion Classifiers.

Srinivas Parthasarathy, Roddy Cowie, Carlos Busso

IEEE ACM Trans. Audio Speech Lang. Process., 2016

Increasing the Reliability of Crowdsourcing Evaluations Using Online Quality Assessment.

Alec Burmania, Srinivas Parthasarathy, Carlos Busso

IEEE Trans. Affect. Comput., 2016

Defining Emotionally Salient Regions Using Qualitative Agreement Method.

Srinivas Parthasarathy, Carlos Busso

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Automatic composition of broadcast news summaries using rank classifiers trained with acoustic and lexical features.

Taufiq Hasan, Mohammed Abdel-Wahab, Srinivas Parthasarathy, Carlos Busso, Yang Liu

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Automatic broadcast news summarization via rank classifiers and crowdsourced annotation.

Srinivas Parthasarathy, Taufiq Hasan

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2012

Denoising of volumetric depth confidence for view rendering.

Srinivas Parthasarathy, Akul Chopra, Emilie Baudin, Pravin Kumar Rana, Markus Flierl

Proceedings of the 3DTV-Conference 2012: The True Vision, 2012