Portfolio item number 1
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Posts by Collection
portfolio
Portfolio item number 2
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publications
Significance of Glottal Activity Detection for Speaker Verification in Degraded and Limited Data Condition
Published in TENCON, 2015
Cite as: A. Pandey, R. K. Das, N. Adiga, N. Gupta and S. R. M. Prasanna, "Significance of Glottal Activity Detection for Speaker Verification in Degraded and Limited Data Condition," in proceedings of TENCON, 2015, pp. 1-6.
On Adversarial Training and Loss Functions for Speech Enhancement
Published in ICASSP, 2018
Cite as: A. Pandey and D. L. Wang, "On Adversarial Training and Loss Functions for Speech Enhancement", in proceedings of ICASSP, 2018, pp. 5414-5418.
A New Framework for Supervised Speech Enhancement in the Time Domain
Published in INTERSPEECH, 2018
Cite as: A. Pandey and D. L. Wang, "A New Framework for Supervised Speech Enhancement in the Time Domain," in proceedings of INTERSPEECH, 2018, pp. 1136-1140.
TCNN: Temporal Convolutional Neural Network for Real-Time Speech Enhancement in the Time Domain
Published in ICASSP, 2019
Cite as: A. Pandey and D. L. Wang, "TCNN: Temporal Convolutional Neural Network for Real-time Speech Enhancement in the Time Domain," in proceedings of ICASSP, 2019, pp. 6875-6879.
Exploring Deep Complex Networks for Complex Spectrogram Enhancement
Published in ICASSP, 2019
Cite as: A. Pandey and D. L. Wang, "Exploring Deep Complex Networks for Complex Spectrogram Enhancement," in proceedings of ICASSP, 2019, pp. 6885-6889.
A New Framework for CNN Based Speech Enhancement in the Time Domain
Published in IEEE/ACM Transactions on Audio Speech and Language Processing, 2019
Cite as: A. Pandey and D. L. Wang, "A New Framework for CNN-Based Speech Enhancement in the Time Domain," in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 27, pp. 1179-1188, 2019.
Densely Connected Neural Network with Dilated Convolutions for Real-Time Speech Enhancement in the Time Domain
Published in ICASSP, 2020
Cite as: A. Pandey and D. L. Wang, "Densely Connected Neural Network with Dilated Convolutions for Real-Time Speech Enhancement in the Time Domain,", in proceedings of ICASSP, 2020, pp. 6629-6633.
Learning Complex Spectral Mapping for Speech Enhancement with Improved Cross-corpus Generalization
Published in INTERSPEECH, 2020
Cite as: A. Pandey and D. L. Wang, "Learning Complex Spectral Mapping for Speech Enhancement with Improved Cross-Corpus Generalization,", in proceedings of INTERSPEECH, 2020, pp. 4511-4515.
On Cross-Corpus Generalization of Deep Learning Based Speech Enhancement
Published in IEEE/ACM Transactions on Audio Speech and Language Processing, 2020
Cite as: A. Pandey and D. L. Wang, "On Cross-Corpus Generalization of Deep Learning Based Speech Enhancement," in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 2489-2499, 2020.
Dual-path Self-Attention RNN for Real-Time Speech Enhancement
Published in arXiv, 2020
Cite as: A. Pandey and D. L. Wang, "Dual-path Self-Attention RNN for Real-Time Speech Enhancement," arXiv:2010.12713, 2020.
Dual Application of Speech Enhancement for Automatic Speech Recognition
Published in Workshop on Spoken Language Technology, 2021
Cite as: A. Pandey, C. Liu, Y. Wang and Y. Saraf, "Dual Application of Speech Enhancement for Automatic Speech Recognition," in Workshop on Spoken Language Technology, 2021, pp. 223-228.
Dense CNN with Self-Attention for Time-Domain Speech Enhancement
Published in IEEE/ACM Transactions on Audio, Speech and Language Processing, 2021
Cite as: A. Pandey and D. L. Wang, "Dense CNN with Self-Attention for Time-Domain Speech Enhancement," in IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 29, pp. 1270-1279, 2021.
Self-attending RNN for Speech Enhancement to Improve Cross-corpus Generalization
Published in IEEE/ACM Transactions on Audio, Speech and Language Processing, 2021
Cite as: A. Pandey and D. L. Wang, "Self-attending RNN for Speech Enhancement to Improve Cross-corpus Generalization," in IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 30, pp. 1374-1385, 2022.
TPARN: Triple-Path Attentive Recurrent Network for Time-Domain Multichannel Speech Enhancement
Published in ICASSP, 2022
Cite as: A. Pandey, B. Xu, A. Kumar, J. Donley, P.Calamia, and D. L. Wang, "TPARN: Triple-Path Attentive Recurrent Network for Time-Domain Multichannel Speech Enhancement," in proceedings of ICASSP, 2022, pp. 6497-6501.
Multichannel Speech Enhancement Without Beamforming
Published in ICASSP, 2022
Cite as: A. Pandey, B. Xu, A. Kumar, J. Donley, P.Calamia, and D. L. Wang, "Multichannel Speech Enhancement Without Beamforming," in proceedings of ICASSP, 2022, pp. 6502-6506.
Time-domain Ad-hoc Array Speech Enhancement Using a Triple-path Network
Published in INTERSPEECH, 2022
Cite as: A. Pandey, B. Xu, A. Kumar, J. Donley, P. Calamia, and D. L. Wang, "Time-domain Ad-hoc Array Speech Enhancement Using a Triple-path Network," in proceedings of INTERSPEECH, 2022, pp. 729-733.
Attentive Training: A New Training Framework for Talker-independent Speaker Extraction
Published in INTERSPEECH, 2022
Cite as: A. Pandey and D. L. Wang, "Attentive Training: A New Training Framework for Talker-independent Speaker Extraction," in proceedings of INTERSPEECH, 2022, pp. 201-205.
Attentive Recurrent Network for Low-Latency Active Noise Control
Published in INTERSPEECH, 2022
Cite as: H. Zhang, A. Pandey and D. L. Wang, "Attentive Recurrent Network for Low-Latency Active Noise Control," in proceedings of INTERSPEECH, 2022, pp. 956-960.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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