Krishna C. Puvvada

According to our database, Krishna C. Puvvada authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

Sortformer: Seamless Integration of Speaker Diarization and ASR by Bridging Timestamps and Tokens.

Taejin Park, Ivan Medennikov, Kunal Dhawan, Weiqing Wang, He Huang, Nithin Rao Koluguri, Krishna C. Puvvada, Jagadeesh Balam, Boris Ginsburg

CoRR, 2024

Resource-Efficient Adaptation of Speech Foundation Models for Multi-Speaker ASR.

Weiqing Wang, Kunal Dhawan, Taejin Park, Krishna C. Puvvada, Ivan Medennikov, Somshubra Majumdar, He Huang, Jagadeesh Balam, Boris Ginsburg

CoRR, 2024

NEST: Self-supervised Fast Conformer as All-purpose Seasoning to Speech Processing Tasks.

He Huang, Taejin Park, Kunal Dhawan, Ivan Medennikov, Krishna C. Puvvada, Nithin Rao Koluguri, Weiqing Wang, Jagadeesh Balam, Boris Ginsburg

CoRR, 2024

BESTOW: Efficient and Streamable Speech Language Model with the Best of Two Worlds in GPT and T5.

Zhehuai Chen, He Huang, Oleksii Hrinchuk, Krishna C. Puvvada, Nithin Rao Koluguri, Piotr Zelasko, Jagadeesh Balam, Boris Ginsburg

CoRR, 2024

Less is More: Accurate Speech Recognition & Translation without Web-Scale Data.

Krishna C. Puvvada, Piotr Zelasko, He Huang, Oleksii Hrinchuk, Nithin Rao Koluguri, Kunal Dhawan, Somshubra Majumdar, Elena Rastorgueva, Zhehuai Chen, Vitaly Lavrukhin, Jagadeesh Balam, Boris Ginsburg

CoRR, 2024

Discrete Audio Representation as an Alternative to Mel-Spectrograms for Speaker and Speech Recognition.

Krishna C. Puvvada, Nithin Rao Koluguri, Kunal Dhawan, Jagadeesh Balam, Boris Ginsburg

Proceedings of the IEEE International Conference on Acoustics, 2024

SALM: Speech-Augmented Language Model with in-Context Learning for Speech Recognition and Translation.

Zhehuai Chen, He Huang, Andrei Andrusenko, Oleksii Hrinchuk, Krishna C. Puvvada, Jason Li, Subhankar Ghosh, Jagadeesh Balam, Boris Ginsburg

Proceedings of the IEEE International Conference on Acoustics, 2024

Multilingual Audio-Visual Speech Recognition with Hybrid CTC/RNN-T Fast Conformer.

Maxime Burchi, Krishna C. Puvvada, Jagadeesh Balam, Boris Ginsburg, Radu Timofte

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

The CHiME-7 Challenge: System Description and Performance of NeMo Team's DASR System.

Taejin Park, He Huang, Ante Jukic, Kunal Dhawan, Krishna C. Puvvada, Nithin Rao Koluguri, Nikolay Karpov, Aleksandr Laptev, Jagadeesh Balam, Boris Ginsburg

CoRR, 2023

Conformer-Based Target-Speaker Automatic Speech Recognition For Single-Channel Audio.

Yang Zhang, Krishna C. Puvvada, Vitaly Lavrukhin, Boris Ginsburg

Proceedings of the IEEE International Conference on Acoustics, 2023

Accidental Learners: Spoken Language Identification in Multilingual Self-Supervised Models.

Travis M. Bartley, Fei Jia, Krishna C. Puvvada, Samuel Kriman, Boris Ginsburg

Proceedings of the IEEE International Conference on Acoustics, 2023

Fast Conformer With Linearly Scalable Attention For Efficient Speech Recognition.

Dima Rekesh, Nithin Rao Koluguri, Samuel Kriman, Somshubra Majumdar, Vahid Noroozi, He Huang, Oleksii Hrinchuk, Krishna C. Puvvada, Ankur Kumar, Jagadeesh Balam, Boris Ginsburg

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2021

Unsupervised and Semi-Supervised Few-Shot Acoustic Event Classification.

Hsin-Ping Huang, Krishna C. Puvvada, Ming Sun, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Few-Shot Acoustic Event Detection Via Meta Learning.

Bowen Shi, Ming Sun, Krishna C. Puvvada, Chieh-Chi Kao, Spyros Matsoukas, Chao Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020