Krishna C. Puvvada

According to our database1, Krishna C. Puvvada authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning.
CoRR, 2024

Sortformer: Seamless Integration of Speaker Diarization and ASR by Bridging Timestamps and Tokens.
CoRR, 2024

Resource-Efficient Adaptation of Speech Foundation Models for Multi-Speaker ASR.
CoRR, 2024

NEST: Self-supervised Fast Conformer as All-purpose Seasoning to Speech Processing Tasks.
CoRR, 2024

BESTOW: Efficient and Streamable Speech Language Model with the Best of Two Worlds in GPT and T5.
CoRR, 2024

Less is More: Accurate Speech Recognition & Translation without Web-Scale Data.
CoRR, 2024

Discrete Audio Representation as an Alternative to Mel-Spectrograms for Speaker and Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024

SALM: Speech-Augmented Language Model with in-Context Learning for Speech Recognition and Translation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Multilingual Audio-Visual Speech Recognition with Hybrid CTC/RNN-T Fast Conformer.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
The CHiME-7 Challenge: System Description and Performance of NeMo Team's DASR System.
CoRR, 2023

Conformer-Based Target-Speaker Automatic Speech Recognition For Single-Channel Audio.
Proceedings of the IEEE International Conference on Acoustics, 2023

Accidental Learners: Spoken Language Identification in Multilingual Self-Supervised Models.
Proceedings of the IEEE International Conference on Acoustics, 2023

Fast Conformer With Linearly Scalable Attention For Efficient Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2021
Unsupervised and Semi-Supervised Few-Shot Acoustic Event Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Few-Shot Acoustic Event Detection Via Meta Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020


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