Raghavendra Pappagari

According to our database, Raghavendra Pappagari authored at least 14 papers between 2017 and 2022.

Collaborative distances:

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

2022

Non-contrastive self-supervised learning of utterance-level speech representations.

Jaejin Cho, Raghavendra Pappagari, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak

Proceedings of the Interspeech 2022, 2022

2021

What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition.

Piotr Zelasko, Raghavendra Pappagari, Najim Dehak

Trans. Assoc. Comput. Linguistics, 2021

Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios.

Raghavendra Pappagari, Jaejin Cho, Sonal Joshi, Laureano Moro-Velázquez, Piotr Zelasko, Jesús Villalba, Najim Dehak

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

CopyPaste: An Augmentation Method for Speech Emotion Recognition.

Raghavendra Pappagari, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak

Proceedings of the IEEE International Conference on Acoustics, 2021

Beyond Isolated Utterances: Conversational Emotion Recognition.

Raghavendra Pappagari, Piotr Zelasko, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Joint Prediction of Truecasing and Punctuation for Conversational Speech in Low-Resource Scenarios.

Raghavendra Pappagari, Piotr Zelasko, Agnieszka Mikolajczyk, Piotr Pezik, Najim Dehak

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer's Disease and Assess its Severity.

Raghavendra Pappagari, Jaejin Cho, Laureano Moro-Velázquez, Najim Dehak

Proceedings of the Interspeech 2020, 2020

X-Vectors Meet Emotions: A Study On Dependencies Between Emotion and Speaker Recognition.

Raghavendra Pappagari, Tianzi Wang, Jesús Villalba, Nanxin Chen, Najim Dehak

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Hierarchical Transformers for Long Document Classification.

Raghavendra Pappagari, Piotr Zelasko, Jesús Villalba, Yishay Carmiel, Najim Dehak

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling.

Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick, Samuel R. Bowman

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.

Samuel R. Bowman, Ellie Pavlick, Edouard Grave, Benjamin Van Durme, Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen

CoRR, 2018

Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts.

Jaejin Cho, Raghavendra Pappagari, Purva Kulkarni, Jesús Villalba, Yishay Carmiel, Najim Dehak

Proceedings of the Interspeech 2018, 2018

Joint Verification-Identification in end-to-end Multi-Scale CNN Framework for Topic Identification.

Raghavendra Pappagari, Jesús Villalba, Najim Dehak

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Topic identification of spoken documents using unsupervised acoustic unit discovery.

Santosh Kesiraju, Raghavendra Pappagari, Lucas Ondel, Lukás Burget, Najim Dehak, Sanjeev Khudanpur, Jan Cernocký, Suryakanth V. Gangashetty

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017