Towards Real-Time Single-Channel Speech Separation in Noisy and Reverberant Environments
Julian Neri, Sebastian Braun
2023 International Conference on Acoustics, Speech, and Signal Processing | June 2023
Neural Networks-based Speech Enhancement
成立时间：January 8, 2017
论文与出版物
按年份分类的论文与出版物
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Performance optimizations on deep noise suppression models
Jerry Chee, Sebastian Braun, Vishak Gopal, Ross Cutler
IEEE Workshop on Multimedia Signal Processing (MMSP) | September 2022
Task splitting for DNN-based acoustic echo and noise removal
Sebastian Braun, Maria Luis Valero
IWAENC | September 2022
Effect of Noise Suppression Losses on Speech Distortion and ASR Performance
Sebastian Braun, Hannes Gamper
ICASSP | May 2022
ICASSP 2022 Acoustic Echo Cancellation Challenge
Ross Cutler, Ando Saabas, Tanel Parnamaa, Marju Purin, Hannes Gamper, Sebastian Braun, Karsten Sorensen, Robert Aichner
ICASSP | May 2022
ICASSP 2022 Deep Noise Suppression Challenge
Harishchandra Dubey, Vishak Gopal, Ross Cutler, Ashkan Aazami, Sergiy Matusevych, Sebastian Braun, Sefik Emre Eskimez, Manthan Thakker, Takuya Yoshioka, Hannes Gamper, Robert Aichner
ICASSP | May 2022
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Sound Capture and Speech Enhancement for Speech-Enabled Devices
December 2021
Human Listening and Live Captioning: Multi-Task Training for Speech Enhancement
Sefik Emre Eskimez, Xiaofei Wang, Min Tang, Hemin Yang, Zirun Zhu, Zhuo Chen, Huaming Wang, Takuya Yoshioka
Interspeech 2021 | August 2021
INTERSPEECH 2021 Acoustic Echo Cancellation Challenge
Ross Cutler, Ando Saabas, Tanel Panarmaa, Markus Loide, Sten Sootla, Marju Purin, Hannes Gamper, Sebastian Braun, Robert Aichner, Sriram Srinivasan
Interspeech 2021 | August 2021
On training targets for noise-robust voice activity detection
European Signal Processing Conference (EUSIPCO) | August 2021
A Consolidated View of Loss Functions for Supervised Deep Learning-based Speech Enhancement
International Conference on Telecommunications and Signal Processing | July 2021
DBNET: DOA-driven beamforming network for end-to-end farfield sound source separation
Ali Aroudi, Sebastian Braun
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
ICASSP 2021 Acoustic Echo Cancellation Challenge: Datasets, Testing Framework, and Results
Kusha Sridhar, Ross Cutler, Ando Saabas, Tanel Parnamaa, Markus Loide, Hannes Gamper, Sebastian Braun, Robert Aichner, Sriram Srinivasan
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
ICASSP 2021 Deep Noise Suppression Challenge
Chandan K A Reddy, Harishchandra Dubey, Vishak Gopal, Ross Cutler, Sebastian Braun, Hannes Gamper, Robert Aichner, Sriram Srinivasan
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
Towards Efficient Models for Real-Time Deep Noise Suppression
Sebastian Braun, Hannes Gamper, Chandan K A Reddy, Ivan Tashev
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
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The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results
Chandan K. A. Reddy, Vishak Gopal, Ross Cutler, Ebrahim Beyrami, Roger Cheng, Harishchandra Dubey, Sergiy Matusevych, Robert Aichner, Ashkan Aazami, Sebastian Braun, Puneet Rana, Sriram Srinivasan, Johannes Gehrke
Interspeech | October 2020
Data augmentation and loss normalization for deep noise suppression
International Conference on Speech and Computer (SPECOM) | October 2020
Predicting Word Error Rate for Reverberant Speech
Hannes Gamper, Dimitra Emmanouilidou, Sebastian Braun, Ivan Tashev
International Conference on Acoustics, Speech and Signal Processing (ICASSP) | May 2020
Weighted Speech Distortion Losses for Neural-Network-Based Real-Time Speech Enhancement
Yangyang Xia, Sebastian Braun, Chandan K. A. Reddy, Harishchandra Dubey, Ross Cutler, Ivan Tashev
International Conference on Acoustics, Speech and Signal Processing (ICASSP) | May 2020
-
Convolutional-Recurrent Neural Networks for Speech Enhancement
Han Zhao, Shuayb Zarar, Ivan Tashev, Chin-Hui Lee
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
Limiting Numerical Precision of Neural Networks to Achieve Real-time Voice Activity Detection
Jong-Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
A Hybrid Approach to Combining Conventional and Deep Learning Techniques for Single-channel Speech Enhancement and Recognition
Yan-Hui Tu, Ivan Tashev, Shuayb Zarar, Chin-Hui Lee
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
Constrained Convolutional-recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy
Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
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Precision Scaling of Neural Networks for Audio Processing
Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality
Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
A Statistical Approach to Semi-supervised Speech Enhancement with Low-order Non Negative Matrix Factorization
Shuayb Zarar, Ivan Tashev
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | March 2017
-
A Causal Speech Enhancement Approach Combining Data-driven Learning and Suppression Rule Estimation
Seyedmahdad Mirsamadi, Ivan Tashev
Proc. InterSpeech 2016 | May 2016
DNN-based Causal Voice Activity Detector
Ivan Tashev, Seyedmahdad Mirsamadi
Information Theory and Applications Workshop | February 2016
-
Data Driven Suppression Rule for Speech Enhancement
Ivan Tashev, Malcolm Slaney
Information Theory and Applications Workshop | February 2013
按研究领域分类的论文与出版物
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Towards Real-Time Single-Channel Speech Separation in Noisy and Reverberant Environments
Julian Neri, Sebastian Braun
2023 International Conference on Acoustics, Speech, and Signal Processing | June 2023
Performance optimizations on deep noise suppression models
Jerry Chee, Sebastian Braun, Vishak Gopal, Ross Cutler
IEEE Workshop on Multimedia Signal Processing (MMSP) | September 2022
Task splitting for DNN-based acoustic echo and noise removal
Sebastian Braun, Maria Luis Valero
IWAENC | September 2022
ICASSP 2022 Acoustic Echo Cancellation Challenge
Ross Cutler, Ando Saabas, Tanel Parnamaa, Marju Purin, Hannes Gamper, Sebastian Braun, Karsten Sorensen, Robert Aichner
ICASSP | May 2022
ICASSP 2022 Deep Noise Suppression Challenge
Harishchandra Dubey, Vishak Gopal, Ross Cutler, Ashkan Aazami, Sergiy Matusevych, Sebastian Braun, Sefik Emre Eskimez, Manthan Thakker, Takuya Yoshioka, Hannes Gamper, Robert Aichner
ICASSP | May 2022
Effect of Noise Suppression Losses on Speech Distortion and ASR Performance
Sebastian Braun, Hannes Gamper
ICASSP | May 2022
Sound Capture and Speech Enhancement for Speech-Enabled Devices
December 2021
Human Listening and Live Captioning: Multi-Task Training for Speech Enhancement
Sefik Emre Eskimez, Xiaofei Wang, Min Tang, Hemin Yang, Zirun Zhu, Zhuo Chen, Huaming Wang, Takuya Yoshioka
Interspeech 2021 | August 2021
On training targets for noise-robust voice activity detection
European Signal Processing Conference (EUSIPCO) | August 2021
INTERSPEECH 2021 Acoustic Echo Cancellation Challenge
Ross Cutler, Ando Saabas, Tanel Panarmaa, Markus Loide, Sten Sootla, Marju Purin, Hannes Gamper, Sebastian Braun, Robert Aichner, Sriram Srinivasan
Interspeech 2021 | August 2021
A Consolidated View of Loss Functions for Supervised Deep Learning-based Speech Enhancement
International Conference on Telecommunications and Signal Processing | July 2021
ICASSP 2021 Acoustic Echo Cancellation Challenge: Datasets, Testing Framework, and Results
Kusha Sridhar, Ross Cutler, Ando Saabas, Tanel Parnamaa, Markus Loide, Hannes Gamper, Sebastian Braun, Robert Aichner, Sriram Srinivasan
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
ICASSP 2021 Deep Noise Suppression Challenge
Chandan K A Reddy, Harishchandra Dubey, Vishak Gopal, Ross Cutler, Sebastian Braun, Hannes Gamper, Robert Aichner, Sriram Srinivasan
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
DBNET: DOA-driven beamforming network for end-to-end farfield sound source separation
Ali Aroudi, Sebastian Braun
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
Towards Efficient Models for Real-Time Deep Noise Suppression
Sebastian Braun, Hannes Gamper, Chandan K A Reddy, Ivan Tashev
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results
Chandan K. A. Reddy, Vishak Gopal, Ross Cutler, Ebrahim Beyrami, Roger Cheng, Harishchandra Dubey, Sergiy Matusevych, Robert Aichner, Ashkan Aazami, Sebastian Braun, Puneet Rana, Sriram Srinivasan, Johannes Gehrke
Interspeech | October 2020
Data augmentation and loss normalization for deep noise suppression
International Conference on Speech and Computer (SPECOM) | October 2020
Predicting Word Error Rate for Reverberant Speech
Hannes Gamper, Dimitra Emmanouilidou, Sebastian Braun, Ivan Tashev
International Conference on Acoustics, Speech and Signal Processing (ICASSP) | May 2020
Weighted Speech Distortion Losses for Neural-Network-Based Real-Time Speech Enhancement
Yangyang Xia, Sebastian Braun, Chandan K. A. Reddy, Harishchandra Dubey, Ross Cutler, Ivan Tashev
International Conference on Acoustics, Speech and Signal Processing (ICASSP) | May 2020
Convolutional-Recurrent Neural Networks for Speech Enhancement
Han Zhao, Shuayb Zarar, Ivan Tashev, Chin-Hui Lee
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
Limiting Numerical Precision of Neural Networks to Achieve Real-time Voice Activity Detection
Jong-Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
Constrained Convolutional-recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy
Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
A Hybrid Approach to Combining Conventional and Deep Learning Techniques for Single-channel Speech Enhancement and Recognition
Yan-Hui Tu, Ivan Tashev, Shuayb Zarar, Chin-Hui Lee
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
Precision Scaling of Neural Networks for Audio Processing
Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality
Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
A Statistical Approach to Semi-supervised Speech Enhancement with Low-order Non Negative Matrix Factorization
Shuayb Zarar, Ivan Tashev
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | March 2017
A Causal Speech Enhancement Approach Combining Data-driven Learning and Suppression Rule Estimation
Seyedmahdad Mirsamadi, Ivan Tashev
Proc. InterSpeech 2016 | May 2016
DNN-based Causal Voice Activity Detector
Ivan Tashev, Seyedmahdad Mirsamadi
Information Theory and Applications Workshop | February 2016
Data Driven Suppression Rule for Speech Enhancement
Ivan Tashev, Malcolm Slaney
Information Theory and Applications Workshop | February 2013
-
Performance optimizations on deep noise suppression models
Jerry Chee, Sebastian Braun, Vishak Gopal, Ross Cutler
IEEE Workshop on Multimedia Signal Processing (MMSP) | September 2022
Human Listening and Live Captioning: Multi-Task Training for Speech Enhancement
Sefik Emre Eskimez, Xiaofei Wang, Min Tang, Hemin Yang, Zirun Zhu, Zhuo Chen, Huaming Wang, Takuya Yoshioka
Interspeech 2021 | August 2021
The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results
Chandan K. A. Reddy, Vishak Gopal, Ross Cutler, Ebrahim Beyrami, Roger Cheng, Harishchandra Dubey, Sergiy Matusevych, Robert Aichner, Ashkan Aazami, Sebastian Braun, Puneet Rana, Sriram Srinivasan, Johannes Gehrke
Interspeech | October 2020
Data augmentation and loss normalization for deep noise suppression
International Conference on Speech and Computer (SPECOM) | October 2020
Convolutional-Recurrent Neural Networks for Speech Enhancement
Han Zhao, Shuayb Zarar, Ivan Tashev, Chin-Hui Lee
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
Limiting Numerical Precision of Neural Networks to Achieve Real-time Voice Activity Detection
Jong-Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
Constrained Convolutional-recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy
Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
A Hybrid Approach to Combining Conventional and Deep Learning Techniques for Single-channel Speech Enhancement and Recognition
Yan-Hui Tu, Ivan Tashev, Shuayb Zarar, Chin-Hui Lee
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
Precision Scaling of Neural Networks for Audio Processing
Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality
Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
A Statistical Approach to Semi-supervised Speech Enhancement with Low-order Non Negative Matrix Factorization
Shuayb Zarar, Ivan Tashev
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | March 2017
-
Sound Capture and Speech Enhancement for Speech-Enabled Devices
December 2021
A Causal Speech Enhancement Approach Combining Data-driven Learning and Suppression Rule Estimation
Seyedmahdad Mirsamadi, Ivan Tashev
Proc. InterSpeech 2016 | May 2016
DNN-based Causal Voice Activity Detector
Ivan Tashev, Seyedmahdad Mirsamadi
Information Theory and Applications Workshop | February 2016
Data Driven Suppression Rule for Speech Enhancement
Ivan Tashev, Malcolm Slaney
Information Theory and Applications Workshop | February 2013
-
Sound Capture and Speech Enhancement for Speech-Enabled Devices
December 2021
Data Driven Suppression Rule for Speech Enhancement
Ivan Tashev, Malcolm Slaney
Information Theory and Applications Workshop | February 2013
-
Sound Capture and Speech Enhancement for Speech-Enabled Devices
December 2021
Data Driven Suppression Rule for Speech Enhancement
Ivan Tashev, Malcolm Slaney
Information Theory and Applications Workshop | February 2013
-
Convolutional-Recurrent Neural Networks for Speech Enhancement
Han Zhao, Shuayb Zarar, Ivan Tashev, Chin-Hui Lee
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
Limiting Numerical Precision of Neural Networks to Achieve Real-time Voice Activity Detection
Jong-Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
Constrained Convolutional-recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy
Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
A Hybrid Approach to Combining Conventional and Deep Learning Techniques for Single-channel Speech Enhancement and Recognition
Yan-Hui Tu, Ivan Tashev, Shuayb Zarar, Chin-Hui Lee
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
Precision Scaling of Neural Networks for Audio Processing
Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality
Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
A Statistical Approach to Semi-supervised Speech Enhancement with Low-order Non Negative Matrix Factorization
Shuayb Zarar, Ivan Tashev
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | March 2017
-
Convolutional-Recurrent Neural Networks for Speech Enhancement
Han Zhao, Shuayb Zarar, Ivan Tashev, Chin-Hui Lee
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
Limiting Numerical Precision of Neural Networks to Achieve Real-time Voice Activity Detection
Jong-Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
Constrained Convolutional-recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy
Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
A Hybrid Approach to Combining Conventional and Deep Learning Techniques for Single-channel Speech Enhancement and Recognition
Yan-Hui Tu, Ivan Tashev, Shuayb Zarar, Chin-Hui Lee
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
Precision Scaling of Neural Networks for Audio Processing
Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality
Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
A Statistical Approach to Semi-supervised Speech Enhancement with Low-order Non Negative Matrix Factorization
Shuayb Zarar, Ivan Tashev
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | March 2017
按类型分类的论文与出版物
-
Towards Real-Time Single-Channel Speech Separation in Noisy and Reverberant Environments
Julian Neri, Sebastian Braun
2023 International Conference on Acoustics, Speech, and Signal Processing | June 2023
Performance optimizations on deep noise suppression models
Jerry Chee, Sebastian Braun, Vishak Gopal, Ross Cutler
IEEE Workshop on Multimedia Signal Processing (MMSP) | September 2022
Task splitting for DNN-based acoustic echo and noise removal
Sebastian Braun, Maria Luis Valero
IWAENC | September 2022
ICASSP 2022 Acoustic Echo Cancellation Challenge
Ross Cutler, Ando Saabas, Tanel Parnamaa, Marju Purin, Hannes Gamper, Sebastian Braun, Karsten Sorensen, Robert Aichner
ICASSP | May 2022
ICASSP 2022 Deep Noise Suppression Challenge
Harishchandra Dubey, Vishak Gopal, Ross Cutler, Ashkan Aazami, Sergiy Matusevych, Sebastian Braun, Sefik Emre Eskimez, Manthan Thakker, Takuya Yoshioka, Hannes Gamper, Robert Aichner
ICASSP | May 2022
Effect of Noise Suppression Losses on Speech Distortion and ASR Performance
Sebastian Braun, Hannes Gamper
ICASSP | May 2022
Sound Capture and Speech Enhancement for Speech-Enabled Devices
December 2021
Human Listening and Live Captioning: Multi-Task Training for Speech Enhancement
Sefik Emre Eskimez, Xiaofei Wang, Min Tang, Hemin Yang, Zirun Zhu, Zhuo Chen, Huaming Wang, Takuya Yoshioka
Interspeech 2021 | August 2021
On training targets for noise-robust voice activity detection
European Signal Processing Conference (EUSIPCO) | August 2021
INTERSPEECH 2021 Acoustic Echo Cancellation Challenge
Ross Cutler, Ando Saabas, Tanel Panarmaa, Markus Loide, Sten Sootla, Marju Purin, Hannes Gamper, Sebastian Braun, Robert Aichner, Sriram Srinivasan
Interspeech 2021 | August 2021
A Consolidated View of Loss Functions for Supervised Deep Learning-based Speech Enhancement
International Conference on Telecommunications and Signal Processing | July 2021
ICASSP 2021 Acoustic Echo Cancellation Challenge: Datasets, Testing Framework, and Results
Kusha Sridhar, Ross Cutler, Ando Saabas, Tanel Parnamaa, Markus Loide, Hannes Gamper, Sebastian Braun, Robert Aichner, Sriram Srinivasan
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
ICASSP 2021 Deep Noise Suppression Challenge
Chandan K A Reddy, Harishchandra Dubey, Vishak Gopal, Ross Cutler, Sebastian Braun, Hannes Gamper, Robert Aichner, Sriram Srinivasan
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
DBNET: DOA-driven beamforming network for end-to-end farfield sound source separation
Ali Aroudi, Sebastian Braun
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
Towards Efficient Models for Real-Time Deep Noise Suppression
Sebastian Braun, Hannes Gamper, Chandan K A Reddy, Ivan Tashev
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results
Chandan K. A. Reddy, Vishak Gopal, Ross Cutler, Ebrahim Beyrami, Roger Cheng, Harishchandra Dubey, Sergiy Matusevych, Robert Aichner, Ashkan Aazami, Sebastian Braun, Puneet Rana, Sriram Srinivasan, Johannes Gehrke
Interspeech | October 2020
Data augmentation and loss normalization for deep noise suppression
International Conference on Speech and Computer (SPECOM) | October 2020
Predicting Word Error Rate for Reverberant Speech
Hannes Gamper, Dimitra Emmanouilidou, Sebastian Braun, Ivan Tashev
International Conference on Acoustics, Speech and Signal Processing (ICASSP) | May 2020
Weighted Speech Distortion Losses for Neural-Network-Based Real-Time Speech Enhancement
Yangyang Xia, Sebastian Braun, Chandan K. A. Reddy, Harishchandra Dubey, Ross Cutler, Ivan Tashev
International Conference on Acoustics, Speech and Signal Processing (ICASSP) | May 2020
Convolutional-Recurrent Neural Networks for Speech Enhancement
Han Zhao, Shuayb Zarar, Ivan Tashev, Chin-Hui Lee
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
Limiting Numerical Precision of Neural Networks to Achieve Real-time Voice Activity Detection
Jong-Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
Constrained Convolutional-recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy
Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
A Hybrid Approach to Combining Conventional and Deep Learning Techniques for Single-channel Speech Enhancement and Recognition
Yan-Hui Tu, Ivan Tashev, Shuayb Zarar, Chin-Hui Lee
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
Precision Scaling of Neural Networks for Audio Processing
Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality
Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
A Statistical Approach to Semi-supervised Speech Enhancement with Low-order Non Negative Matrix Factorization
Shuayb Zarar, Ivan Tashev
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | March 2017
A Causal Speech Enhancement Approach Combining Data-driven Learning and Suppression Rule Estimation
Seyedmahdad Mirsamadi, Ivan Tashev
Proc. InterSpeech 2016 | May 2016
DNN-based Causal Voice Activity Detector
Ivan Tashev, Seyedmahdad Mirsamadi
Information Theory and Applications Workshop | February 2016
Data Driven Suppression Rule for Speech Enhancement
Ivan Tashev, Malcolm Slaney
Information Theory and Applications Workshop | February 2013