Kunal Dhawan

According to our database, Kunal Dhawan authored at least 21 papers between 2018 and 2024.

Collaborative distances:

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

2024

Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks.

Chien-yu Huang, Wei-Chih Chen, Shu-Wen Yang, Andy T. Liu, Chen-An Li, Yu-Xiang Lin, Wei-Cheng Tseng, Anuj Diwan, Yi-Jen Shih, Jiatong Shi, William Chen, Xuanjun Chen, Chi-Yuan Hsiao, Puyuan Peng, Shih-Heng Wang, Chun-Yi Kuan, Ke-Han Lu, Kai-Wei Chang, Chih-Kai Yang, Fabian Ritter Gutierrez, Ming To Chuang, Kuan-Po Huang, Siddhant Arora, You-Kuan Lin, Eunjung Yeo, Kalvin Chang, Chung-Ming Chien, Kwanghee Choi, Cheng-Hsiu Hsieh, Yi-Cheng Lin, Chee-En Yu, I-Hsiang Chiu, Heitor R. Guimarães, Jionghao Han, Tzu-Quan Lin, Tzu-Yuan Lin, Homu Chang, Ting-Wu Chang, Chun Wei Chen, Shou-Jen Chen, Yu-Hua Chen, Hsi-Chun Cheng, Kunal Dhawan, Jia-Lin Fang, Shi-Xin Fang, Kuan-Yu Fang Chiang, Chi An Fu, Hsien-Fu Hsiao, Ching Yu Hsu, Shao-Syuan Huang, Lee Chen Wei, Hsi-Che Lin, Hsuan-Hao Lin, Hsuan-Ting Lin, Jian-Ren Lin, Ting-Chun Liu, Li-Chun Lu, Tsung-Min Pai, Ankita Pasad, Shih-Yun Shan Kuan, Suwon Shon, Yuxun Tang, Yun-Shao Tsai, Jui-Chiang Wei, Tzu-Chieh Wei, Chengxi Wu, Dien-Ruei Wu, Chao-Han Huck Yang, Chieh-Chi Yang, Jia Qi Yip, Shao-Xiang Yuan, Vahid Noroozi, Zhehuai Chen, Haibin Wu, Karen Livescu, David Harwath, Shinji Watanabe, Hung-yi Lee

CoRR, 2024

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

Yifan Peng, Krishna C. Puvvada, Zhehuai Chen, Piotr Zelasko, He Huang, Kunal Dhawan, Ke Hu, Shinji Watanabe, Jagadeesh Balam, Boris Ginsburg

CoRR, 2024

META-CAT: Speaker-Informed Speech Embeddings via Meta Information Concatenation for Multi-talker ASR.

Jinhan Wang, Weiqing Wang, Kunal Dhawan, Taejin Park, Myungjong Kim, Ivan Medennikov, He Huang, Nithin Rao Koluguri, Jagadeesh Balam, Boris Ginsburg

CoRR, 2024

Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition.

Chao-Han Huck Yang, Taejin Park, Yuan Gong, Yuanchao Li, Zhehuai Chen, Yen-Ting Lin, Chen Chen, Yuchen Hu, Kunal Dhawan, Piotr Zelasko, Chao Zhang, Yun-Nung Chen, Yu Tsao, Jagadeesh Balam, Boris Ginsburg, Sabato Marco Siniscalchi, Eng Siong Chng, Peter Bell, Catherine Lai, Shinji Watanabe, Andreas Stolcke

CoRR, 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

Codec-ASR: Training Performant Automatic Speech Recognition Systems with Discrete Speech Representations.

Kunal Dhawan, Nithin Rao Koluguri, Ante Jukic, Ryan Langman, 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

Enhancing Speaker Diarization with Large Language Models: A Contextual Beam Search Approach.

Taejin Park, Kunal Dhawan, Nithin Rao Koluguri, Jagadeesh Balam

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

Property-Aware Multi-Speaker Data Simulation: A Probabilistic Modelling Technique for Synthetic Data Generation.

Taejin Park, He Huang, Coleman Hooper, Nithin Rao Koluguri, Kunal Dhawan, Ante Jukic, Jagadeesh Balam, Boris Ginsburg

CoRR, 2023

Towards training Bilingual and Code-Switched Speech Recognition models from Monolingual data sources.

Kunal Dhawan, Dima Rekesh, Boris Ginsburg

CoRR, 2023

2021

Phonetic Word Embeddings.

Rahul Sharma, Kunal Dhawan, Balakrishna Pailla

CoRR, 2021

2020

Novel textual features for language modeling of intra-sentential code-switching data.

Sreeram Ganji, Kunal Dhawan, Rohit Sinha

Comput. Speech Lang., 2020

Joint Language Identification of Code-Switching Speech using Attention-based E2E Network.

Ganji Sreeram, Kunal Dhawan, Kumar Priyadarshi, Rohit Sinha

Proceedings of the International Conference on Signal Processing and Communications, 2020

Investigating Target Set Reduction for End-to-End Speech Recognition of Hindi-English Code-Switching Data.

Kunal Dhawan, Ganji Sreeram, Kumar Priyadarshi, Rohit Sinha

Proceedings of the 2020 National Conference on Communications, 2020

2019

IITG-HingCoS corpus: A Hinglish code-switching database for automatic speech recognition.

Ganji Sreeram, Kunal Dhawan, Rohit Sinha

Speech Commun., 2019

Towards Adapting NMF Dictionaries Using Total Variability Modeling for Noise-Robust Acoustic Features.

Kunal Dhawan, Colin Vaz, Ruchir Travadi, Shrikanth S. Narayanan

CoRR, 2019

2018

Hindi-English Code-Switching Speech Corpus.

Ganji Sreeram, Kunal Dhawan, Rohit Sinha

CoRR, 2018