Anurag Kumar

According to our database, Anurag Kumar authored at least 74 papers between 2012 and 2024.

Collaborative distances:

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

2024

Neural-Network-Based Direction-of-Arrival Estimation for Reverberant Speech - The Importance of Energetic, Temporal, and Spatial Information.

Orel Ben Zaken, Anurag Kumar, Vladimir Tourbabin, Boaz Rafaely

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Improved direction of arrival estimations with a wearable microphone array for dynamic environments by reliability weighting.

Daniel A. Mitchell, Boaz Rafaely, Anurag Kumar, Vladimir Tourbabin

CoRR, 2024

High Fidelity Text-Guided Music Generation and Editing via Single-Stage Flow Matching.

Gaël Le Lan, Bowen Shi, Zhaoheng Ni, Sidd Srinivasan, Anurag Kumar, Brian Ellis, David Kant, Varun Nagaraja, Ernie Chang, Wei-Ning Hsu, Yangyang Shi, Vikas Chandra

CoRR, 2024

AV-CrossNet: an Audiovisual Complex Spectral Mapping Network for Speech Separation By Leveraging Narrow- and Cross-Band Modeling.

Vahid Ahmadi Kalkhorani, Cheng Yu, Anurag Kumar, Ke Tan, Buye Xu, DeLiang Wang

CoRR, 2024

URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement.

Wangyou Zhang, Robin Scheibler, Kohei Saijo, Samuele Cornell, Chenda Li, Zhaoheng Ni, Anurag Kumar, Jan Pirklbauer, Marvin Sach, Shinji Watanabe, Tim Fingscheidt, Yanmin Qian

CoRR, 2024

Cross-Talk Reduction.

Zhong-Qiu Wang, Anurag Kumar, Shinji Watanabe

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Ambisonics Networks - The Effect of Radial Functions Regularization.

Bar Shaybet, Anurag Kumar, Vladimir Tourbabin, Boaz Rafaely

Proceedings of the IEEE International Conference on Acoustics, 2024

A Closer Look at Wav2vec2 Embeddings for On-Device Single-Channel Speech Enhancement.

Ravi Shankar, Ke Tan, Buye Xu, Anurag Kumar

Proceedings of the IEEE International Conference on Acoustics, 2024

Audiovisual Speaker Separation with Full- and Sub-Band Modeling in the Time-Frequency Domain.

Vahid Ahmadi Kalkhorani, Anurag Kumar, Ke Tan, Buye Xu, DeLiang Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

Spherical World-Locking for Audio-Visual Localization in Egocentric Videos.

Heeseung Yun, Ruohan Gao, Ishwarya Ananthabhotla, Anurag Kumar, Jacob Donley, Chao Li, Gunhee Kim, Vamsi Krishna Ithapu, Calvin Murdock

Proceedings of the Computer Vision - ECCV 2024, 2024

Real Acoustic Fields: An Audio-Visual Room Acoustics Dataset and Benchmark.

Ziyang Chen, Israel D. Gebru, Christian Richardt, Anurag Kumar, William Laney, Andrew Owens, Alexander Richard

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch.

Jeff Hwang, Moto Hira, Caroline Chen, Xiaohui Zhang, Zhaoheng Ni, Guangzhi Sun, Pingchuan Ma, Ruizhe Huang, Vineel Pratap, Yuekai Zhang, Anurag Kumar, Chin-Yun Yu, Chuang Zhu, Chunxi Liu, Jacob Kahn, Mirco Ravanelli, Peng Sun, Shinji Watanabe, Yangyang Shi, Yumeng Tao, Robin Scheibler, Samuele Cornell, Sean Kim, Stavros Petridis

CoRR, 2023

Rethinking Complex-Valued Deep Neural Networks for Monaural Speech Enhancement.

Haibin Wu, Ke Tan, Buye Xu, Anurag Kumar, Daniel Wong

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Spatialization Quality Metric for Binaural Speech.

Pranay Manocha, Israel Dejene Gebru, Anurag Kumar, Dejan Markovic, Alexander Richard

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Time-domain Transformer-based Audiovisual Speaker Separation.

Vahid Ahmadi Kalkhorani, Anurag Kumar, Ke Tan, Buye Xu, DeLiang Wang

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

TAPLoss: A Temporal Acoustic Parameter Loss for Speech Enhancement.

Yunyang Zeng, Joseph Konan, Shuo Han, David Bick, Muqiao Yang, Anurag Kumar, Shinji Watanabe, Bhiksha Raj

Proceedings of the IEEE International Conference on Acoustics, 2023

Paaploss: A Phonetic-Aligned Acoustic Parameter Loss for Speech Enhancement.

Muqiao Yang, Joseph Konan, David Bick, Yunyang Zeng, Shuo Han, Anurag Kumar, Shinji Watanabe, Bhiksha Raj

Proceedings of the IEEE International Conference on Acoustics, 2023

LA-VOCE: LOW-SNR Audio-Visual Speech Enhancement Using Neural Vocoders.

Rodrigo Mira, Buye Xu, Jacob Donley, Anurag Kumar, Stavros Petridis, Vamsi Krishna Ithapu, Maja Pantic

Proceedings of the IEEE International Conference on Acoustics, 2023

Nord: Non-Matching Reference Based Relative Depth Estimation from Binaural Speech.

Pranay Manocha, Israel D. Gebru, Anurag Kumar, Dejan Markovic, Alexander Richard

Proceedings of the IEEE International Conference on Acoustics, 2023

Torchaudio-Squim: Reference-Less Speech Quality and Intelligibility Measures in Torchaudio.

Anurag Kumar, Ke Tan, Zhaoheng Ni, Pranay Manocha, Xiaohui Zhang, Ethan Henderson, Buye Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-Channel Speech Enhancement.

Kuan-Lin Chen, Daniel D. E. Wong, Ke Tan, Buye Xu, Anurag Kumar, Vamsi Krishna Ithapu

Proceedings of the IEEE International Conference on Acoustics, 2023

TorchAudio 2.1: Advancing Speech Recognition, Self-Supervised Learning, and Audio Processing Components for Pytorch.

Jeff Hwang, Moto Hira, Caroline Chen, Xiaohui Zhang, Zhaoheng Ni, Guangzhi Sun, Pingchuan Ma, Ruizhe Huang, Vineel Pratap, Yuekai Zhang, Anurag Kumar, Chin-Yun Yu, Chuang Zhu, Chunxi Liu, Jacob Kahn, Mirco Ravanelli, Peng Sun, Shinji Watanabe, Yangyang Shi, Yumeng Tao

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

2022

RemixIT: Continual Self-Training of Speech Enhancement Models via Bootstrapped Remixing.

Efthymios Tzinis, Yossi Adi, Vamsi K. Ithapu, Buye Xu, Paris Smaragdis, Anurag Kumar

IEEE J. Sel. Top. Signal Process., 2022

Direction Of Arrival Estimation For Reverberant Speech Based On Neural Networks And The Direct-Path Dominance Test.

Orel Ben Zaken, Boaz Rafaely, Anurag Kumar, Vladimir Tourbabin

Proceedings of the 17th International Workshop on Acoustic Signal Enhancement, 2022

Improving Speech Enhancement through Fine-Grained Speech Characteristics.

Muqiao Yang, Joseph Konan, David Bick, Anurag Kumar, Shinji Watanabe, Bhiksha Raj

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

SAQAM: Spatial Audio Quality Assessment Metric.

Pranay Manocha, Anurag Kumar, Buye Xu, Anjali Menon, Israel Dejene Gebru, Vamsi Krishna Ithapu, Paul Calamia

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Speech Quality Assessment through MOS using Non-Matching References.

Pranay Manocha, Anurag Kumar

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Time-domain Ad-hoc Array Speech Enhancement Using a Triple-path Network.

Ashutosh Pandey, Buye Xu, Anurag Kumar, Jacob Donley, Paul Calamia, DeLiang Wang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Continual Self-Training With Bootstrapped Remixing For Speech Enhancement.

Efthymios Tzinis, Yossi Adi, Vamsi K. Ithapu, Buye Xu, Anurag Kumar

Proceedings of the IEEE International Conference on Acoustics, 2022

Conformer-Based Self-Supervised Learning For Non-Speech Audio Tasks.

Sangeeta Srivastava, Yun Wang, Andros Tjandra, Anurag Kumar, Chunxi Liu, Kritika Singh, Yatharth Saraf

Proceedings of the IEEE International Conference on Acoustics, 2022

Multichannel Speech Enhancement Without Beamforming.

Ashutosh Pandey, Buye Xu, Anurag Kumar, Jacob Donley, Paul Calamia, DeLiang Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

TPARN: Triple-Path Attentive Recurrent Network for Time-Domain Multichannel Speech Enhancement.

Ashutosh Pandey, Buye Xu, Anurag Kumar, Jacob Donley, Paul Calamia, DeLiang Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

The Impact of Removing Head Movements on Audio-Visual Speech Enhancement.

Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda, Jacob Donley, Anurag Kumar

Proceedings of the IEEE International Conference on Acoustics, 2022

Audio Signal Processing for Telepresence Based on Wearable Array in Noisy and Dynamic Scenes.

Hanan Beit-On, Moti Lugasi, Lior Madmoni, Anjali Menon, Anurag Kumar, Jacob Donley, Vladimir Tourbabin, Boaz Rafaely

Proceedings of the IEEE International Conference on Acoustics, 2022

Ego4D: Around the World in 3, 000 Hours of Egocentric Video.

Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

SAGRNN: Self-Attentive Gated RNN For Binaural Speaker Separation With Interaural Cue Preservation.

Ke Tan, Buye Xu, Anurag Kumar, Eliya Nachmani, Yossi Adi

IEEE Signal Process. Lett., 2021

NICE-Beam: Neural Integrated Covariance Estimators for Time-Varying Beamformers.

Jonah Casebeer, Jacob Donley, Daniel Wong, Buye Xu, Anurag Kumar

CoRR, 2021

TADRN: Triple-Attentive Dual-Recurrent Network for Ad-hoc Array Multichannel Speech Enhancement.

Ashutosh Pandey, Buye Xu, Anurag Kumar, Jacob Donley, Paul Calamia, DeLiang Wang

CoRR, 2021

Ego4D: Around the World in 3, 000 Hours of Egocentric Video.

Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

CoRR, 2021

Online Self-Attentive Gated RNNs for Real-Time Speaker Separation.

Ori Kabeli, Yossi Adi, Zhenyu Tang, Buye Xu, Anurag Kumar

CoRR, 2021

DPLM: A Deep Perceptual Spatial-Audio Localization Metric.

Pranay Manocha, Anurag Kumar, Buye Xu, Anjali Menon, Israel D. Gebru, Vamsi K. Ithapu, Paul Calamia

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

NORESQA: A Framework for Speech Quality Assessment using Non-Matching References.

Pranay Manocha, Buye Xu, Anurag Kumar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Do Sound Event Representations Generalize to Other Audio Tasks? A Case Study in Audio Transfer Learning.

Anurag Kumar, Yun Wang, Vamsi Krishna Ithapu, Christian Fuegen

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Multi-Channel Speech Enhancement Using Graph Neural Networks.

Panagiotis Tzirakis, Anurag Kumar, Jacob Donley

Proceedings of the IEEE International Conference on Acoustics, 2021

Incorporating Real-World Noisy Speech in Neural-Network-Based Speech Enhancement Systems.

Yangyang Xia, Buye Xu, Anurag Kumar

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition.

Anurag Kumar, Vamsi K. Ithapu

Proceedings of the 37th International Conference on Machine Learning, 2020

SeCoST: : Sequential Co-Supervision for Large Scale Weakly Labeled Audio Event Detection.

Anurag Kumar, Vamsi Krishna Ithapu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

SeCoST: Sequential Co-Supervision for Weakly Labeled Audio Event Detection.

Anurag Kumar, Vamsi Krishna Ithapu

CoRR, 2019

Learning Sound Events from Webly Labeled Data.

Anurag Kumar, Ankit Shah, Alexander G. Hauptmann, Bhiksha Raj

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

A Closer Look at Weak Label Learning for Audio Events.

Ankit Shah, Anurag Kumar, Alexander G. Hauptmann, Bhiksha Raj

CoRR, 2018

NELS - Never-Ending Learner of Sounds.

Benjamin Elizalde, Rohan Badlani, Ankit Shah, Anurag Kumar, Bhiksha Raj

CoRR, 2018

Classifier Risk Estimation Under Limited Labeling Resources.

Anurag Kumar, Bhiksha Raj

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Content-Based Representations of Audio Using Siamese Neural Networks.

Pranay Manocha, Rohan Badlani, Anurag Kumar, Ankit Shah, Benjamin Elizalde, Bhiksha Raj

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Knowledge Transfer from Weakly Labeled Audio Using Convolutional Neural Network for Sound Events and Scenes.

Anurag Kumar, Maksim Khadkevich, Christian Fügen

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Framework for Evaluation of Sound Event Detection in Web Videos.

Rohan Badlani, Ankit Shah, Benjamin Elizalde, Anurag Kumar, Bhiksha Raj

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Deep CNN Framework for Audio Event Recognition using Weakly Labeled Web Data.

Anurag Kumar, Bhiksha Raj

CoRR, 2017

Audio Content Based Geotagging in Multimedia.

Anurag Kumar, Benjamin Elizalde, Bhiksha Raj

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Audio event and scene recognition: A unified approach using strongly and weakly labeled data.

Bhiksha Raj, Anurag Kumar

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Discovering sound concepts and acoustic relations in text.

Anurag Kumar, Bhiksha Raj, Ndapandula Nakashole

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

An approach for self-training audio event detectors using web data.

Benjamin Elizalde, Ankit Shah, Siddharth Dalmia, Min Hun Lee, Rohan Badlani, Anurag Kumar, Bhiksha Raj, Ian R. Lane

Proceedings of the 25th European Signal Processing Conference, 2017

2016

An Approach for Self-Training Audio Event Detectors Using Web Data.

Ankit Shah, Rohan Badlani, Anurag Kumar, Benjamin Elizalde, Bhiksha Raj

CoRR, 2016

Features and Kernels for Audio Event Recognition.

Anurag Kumar, Bhiksha Raj

CoRR, 2016

Audio Event Detection using Weakly Labeled Data.

Anurag Kumar, Bhiksha Raj

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Speech Enhancement in Multiple-Noise Conditions Using Deep Neural Networks.

Anurag Kumar, Dinei A. F. Florêncio

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Weakly supervised scalable audio content analysis.

Anurag Kumar, Bhiksha Raj

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording.

Benjamin Elizalde, Anurag Kumar, Ankit Shah, Rohan Badlani, Emmanuel Vincent, Bhiksha Raj, Ian R. Lane

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2016

2015

Unsupervised Fusion Weight Learning in Multiple Classifier Systems.

Anurag Kumar, Bhiksha Raj

CoRR, 2015

CMU Informedia@TRECVID 2015: MED/SIN/LNK/SED.

Shoou-I Yu, Lu Jiang, Zhongwen Xu, Zhenzhong Lan, Shicheng Xu, Xiaojun Chang, Xuanchong Li, Zexi Mao, Chuang Gan, Yajie Miao, Xingzhong Du, Yang Cai, Lara J. Martin, Nikolas Wolfe, Anurag Kumar, Huan Li, Ming Lin, Zhigang Ma, Yi Yang, Deyu Meng, Shiguang Shan, Pinar Duygulu Sahin, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Teruko Mitamura, Richard M. Stern, Alexander G. Hauptmann

Proceedings of the 2015 TREC Video Retrieval Evaluation, 2015

A novel ranking method for multiple classifier systems.

Anurag Kumar, Bhiksha Raj

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Informedia @ TRECVID 2014.

Shoou-I Yu, Lu Jiang, Zhongwen Xu, Zhenzhong Lan, Shicheng Xu, Xiaojun Chang, Xuanchong Li, Zexi Mao, Chuang Gan, Yajie Miao, Xingzhong Du, Yang Cai, Lara J. Martin, Nikolas Wolfe, Anurag Kumar, Huan Li, Ming Lin, Zhigang Ma, Yi Yang, Deyu Meng, Shiguang Shan, Pinar Duygulu Sahin, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Teruko Mitamura, Richard M. Stern, Alexander G. Hauptmann, Anil Armagan, Yicheng Zhao

Proceedings of the 2014 TREC Video Retrieval Evaluation, 2014

Monaural speaker segregation using group delay spectral matrix factorization.

Karan Nathwani, Anurag Kumar, Rajesh M. Hegde

Proceedings of the Twentieth National Conference on Communications, 2014

Detecting sound objects in audio recordings.

Anurag Kumar, Rita Singh, Bhiksha Raj

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Event detection in short duration audio using Gaussian Mixture Model and Random Forest Classifier.

Anurag Kumar, Rajesh M. Hegde, Rita Singh, Bhiksha Raj

Proceedings of the 21st European Signal Processing Conference, 2013

2012

Audio event detection from acoustic unit occurrence patterns.

Anurag Kumar, Pranay Dighe, Rita Singh, Sourish Chaudhuri, Bhiksha Raj

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012