E-LIB Suche - Ergebnisse für: Pappagari, Raghavendra

1

What Helps Transformers Recognize Conversational Structure?..:

Żelasko, Piotr ; Pappagari, Raghavendra ; Dehak, Najim
Transactions of the Association for Computational Linguistics. 9 (2021) - p. 1163-1179 , 2021

Link: https://doi.org/10.1162/..

2

X-Vectors Meet Emotions: A Study On Dependencies Between Em..:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Pappagari, Raghavendra ; Wang, Tianzi ; Villalba, Jesus.. - p. 7169-7173 , 2020

Link: https://doi.org/10.1109/..

3

Hierarchical Transformers for Long Document Classification:

, In: 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU),

Pappagari, Raghavendra ; Zelasko, Piotr ; Villalba, Jesus.. - p. 838-844 , 2019

Link: https://doi.org/10.1109/..

4

Query word retrieval from continuous speech using GMM poste..:

, In: 2014 International Conference on Signal Processing and Communications (SPCOM),

Reddy, Pappagari Raghavendra ; Rout, Kallola ; Rama Murty, K. Sri - p. 1-6 , 2014

Link: https://doi.org/10.1109/..

5

Non-Contrastive Self-Supervised Learning of Utterance-Level..:

Cho, Jaejin ; Pappagari, Raghavendra ; Żelasko, Piotr...
http://arxiv.org/abs/2208.05413. , 2022

Link: http://arxiv.org/abs/220..

6

MT-GenEval: A Counterfactual and Contextual Dataset for Eva..:

Currey, Anna ; Nădejde, Maria ; Pappagari, Raghavendra...
http://arxiv.org/abs/2211.01355. , 2022

Link: http://arxiv.org/abs/221..

7

Joint prediction of truecasing and punctuation for conversa..:

Pappagari, Raghavendra ; Żelasko, Piotr ; Mikołajczyk, Agnieszka..
http://arxiv.org/abs/2109.06103. , 2021

Link: http://arxiv.org/abs/210..

8

Beyond Isolated Utterances: Conversational Emotion Recognit..:

Pappagari, Raghavendra ; Żelasko, Piotr ; Villalba, Jesús..
http://arxiv.org/abs/2109.06112. , 2021

Link: http://arxiv.org/abs/210..

9

What Helps Transformers Recognize Conversational Structure?..:

Żelasko, Piotr ; Pappagari, Raghavendra ; Dehak, Najim
http://arxiv.org/abs/2107.02294. , 2021

Link: http://arxiv.org/abs/210..

10

CopyPaste: An Augmentation Method for Speech Emotion Recogn..:

Pappagari, Raghavendra ; Villalba, Jesús ; Żelasko, Piotr..
http://arxiv.org/abs/2010.14602. , 2020

Link: http://arxiv.org/abs/201..

11

x-vectors meet emotions: A study on dependencies between em..:

Pappagari, Raghavendra ; Wang, Tianzi ; Villalba, Jesus..
http://arxiv.org/abs/2002.05039. , 2020

Link: http://arxiv.org/abs/200..

12

Deep neural networks for emotion recognition combining audi..:

Cho, Jaejin ; Pappagari, Raghavendra ; Kulkarni, Purva...
http://arxiv.org/abs/1911.00432. , 2019

Link: http://arxiv.org/abs/191..

13

Hierarchical Transformers for Long Document Classification:

Pappagari, Raghavendra ; Żelasko, Piotr ; Villalba, Jesús..
http://arxiv.org/abs/1910.10781. , 2019

Link: http://arxiv.org/abs/191..

14

Can You Tell Me How to Get Past Sesame Street? Sentence-Lev..:

Wang, Alex ; Hula, Jan ; Xia, Patrick...
http://arxiv.org/abs/1812.10860. , 2018

Link: http://arxiv.org/abs/181..

15

Significance of analytic phase of speech signals in speaker..:

Vijayan, Karthika ; Raghavendra Reddy, Pappagari ; Sri Rama Murty, K.
Speech Communication. 81 (2016) - p. 54-71 , 2016

Link: https://doi.org/10.1016/..