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 (ICASSP, 2017)

Joint Verification-Identification in end-to-end Multi-Scale CNN Framework for Topic Identification. - Raghavendra Pappagari; Jesús Villalba 001; Najim Dehak (ICASSP, 2018)

Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts. - Jaejin Cho; Raghavendra Pappagari; Purva Kulkarni; Jesús Villalba 001; Yishay Carmiel; Najim Dehak (INTERSPEECH, 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 002; Raghavendra Pappagari; R. Thomas McCoy; Roma Patel; Najoung Kim; Ian Tenney; et al. (CoRR, 2018)

Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling. - Alex Wang; Jan Hula; Patrick Xia 002; Raghavendra Pappagari; R. Thomas McCoy; Roma Patel; Najoung Kim; Ian Tenney; Yinghui Huang; Katherin Yu; Shuning Jin; Berlin Chen; et al. (ACL (1), 2019)

Hierarchical Transformers for Long Document Classification. - Raghavendra Pappagari; Piotr Zelasko; Jesús Villalba 001; Yishay Carmiel; Najim Dehak (ASRU, 2019)

X-Vectors Meet Emotions: A Study On Dependencies Between Emotion and Speaker Recognition. - Raghavendra Pappagari; Tianzi Wang; Jesús Villalba 001; Nanxin Chen; Najim Dehak (ICASSP, 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 (INTERSPEECH, 2020)

Joint Prediction of Truecasing and Punctuation for Conversational Speech in Low-Resource Scenarios. - Raghavendra Pappagari; Piotr Zelasko; Agnieszka Mikolajczyk; Piotr Pezik; Najim Dehak (ASRU, 2021)

Beyond Isolated Utterances: Conversational Emotion Recognition. - Raghavendra Pappagari; Piotr Zelasko; Jesús Villalba 001; Laureano Moro-Velázquez; Najim Dehak (ASRU, 2021)

CopyPaste: An Augmentation Method for Speech Emotion Recognition. - Raghavendra Pappagari; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (ICASSP, 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 001; Najim Dehak (Interspeech, 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)

Non-contrastive self-supervised learning of utterance-level speech representations. - Jaejin Cho; Raghavendra Pappagari; Piotr Zelasko; Laureano Moro-Velázquez; Jesús Villalba 001; Najim Dehak (INTERSPEECH, 2022)