Turab Iqbal

According to our database, Turab Iqbal authored at least 19 papers between 2018 and 2021.

Collaborative distances:

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

2021

ARCA23K.

Turab Iqbal, Yin Cao, Andrew Bailey, Mark D. Plumbley, Wenwu Wang

Dataset, September, 2021

Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning.

Xubo Liu, Turab Iqbal, Jinzheng Zhao, Qiushi Huang, Mark D. Plumbley, Wenwu Wang

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Enhancing Audio Augmentation Methods with Consistency Learning.

Turab Iqbal, Karim Helwani, Arvindh Krishnaswamy, Wenwu Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection.

Yin Cao, Turab Iqbal, Qiuqiang Kong, Fengyan An, Wenwu Wang, Mark D. Plumbley

Proceedings of the IEEE International Conference on Acoustics, 2021

ARCA23K: An Audio Dataset for Investigating Open-Set Label Noise.

Turab Iqbal, Yin Cao, Andrew Bailey, Mark D. Plumbley, Wenwu Wang

Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

2020

PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition.

Qiuqiang Kong, Yin Cao, Turab Iqbal, Yuxuan Wang, Wenwu Wang, Mark D. Plumbley

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Learning With Out-of-Distribution Data for Audio Classification.

Turab Iqbal, Yin Cao, Qiuqiang Kong, Mark D. Plumbley, Wenwu Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Open-Window: A Sound Event Dataset for Window State Detection and Recognition.

Saeid Safavi, Turab Iqbal, Wenwu Wang, Philip Coleman, Mark D. Plumbley

Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

Event-Independent Network for Polyphonic Sound Event Localization and Detection.

Yin Cao, Turab Iqbal, Qiuqiang Kong, Yue Zhong, Wenwu Wang, Mark D. Plumbley

Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019

Weakly Labelled AudioSet Tagging With Attention Neural Networks.

Qiuqiang Kong, Changsong Yu, Yong Xu, Turab Iqbal, Wenwu Wang, Mark D. Plumbley

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Cross-task learning for audio tagging, sound event detection and spatial localization: DCASE 2019 baseline systems.

Qiuqiang Kong, Yin Cao, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley

CoRR, 2019

Weakly labelled AudioSet Classification with Attention Neural Networks.

Qiuqiang Kong, Changsong Yu, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley

CoRR, 2019

Acoustic Scene Generation with Conditional Samplernn.

Qiuqiang Kong, Yong Xu, Turab Iqbal, Yin Cao, Wenwu Wang, Mark D. Plumbley

Proceedings of the IEEE International Conference on Acoustics, 2019

Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy.

Yin Cao, Qiuqiang Kong, Turab Iqbal, Fengyan An, Wenwu Wang, Mark D. Plumbley

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2018

DCASE 2018 Challenge baseline with convolutional neural networks.

Qiuqiang Kong, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley

CoRR, 2018

Approximate Message Passing for Underdetermined Audio Source Separation.

Turab Iqbal, Wenwu Wang

CoRR, 2018

Capsule Routing for Sound Event Detection.

Turab Iqbal, Yong Xu, Qiuqiang Kong, Wenwu Wang

Proceedings of the 26th European Signal Processing Conference, 2018

DCASE 2018 Challenge Surrey cross-task convolutional neural network baseline.

Qiuqiang Kong, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

General-purpose audio tagging from noisy labels using convolutional neural networks.

Turab Iqbal, Qiuqiang Kong, Mark D. Plumbley, Wenwu Wang

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018