Search Results for author: Turab Iqbal

Found 7 papers, 6 papers with code

ARCA23K: An audio dataset for investigating open-set label noise

2 code implementations19 Sep 2021 Turab Iqbal, Yin Cao, Andrew Bailey, Mark D. Plumbley, Wenwu Wang

We show that the majority of labelling errors in ARCA23K are due to out-of-vocabulary audio clips, and we refer to this type of label noise as open-set label noise.

Representation Learning

Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning

1 code implementation21 Jul 2021 Xubo Liu, Turab Iqbal, Jinzheng Zhao, Qiushi Huang, Mark D. Plumbley, Wenwu Wang

We evaluate our approach on the UrbanSound8K dataset, compared to SampleRNN, with the performance metrics measuring the quality and diversity of generated sounds.

Music Generation Representation Learning +1

Enhancing Audio Augmentation Methods with Consistency Learning

no code implementations9 Feb 2021 Turab Iqbal, Karim Helwani, Arvindh Krishnaswamy, Wenwu Wang

For tasks such as classification, there is a good case for learning representations of the data that are invariant to such transformations, yet this is not explicitly enforced by classification losses such as the cross-entropy loss.

Audio Classification Audio Tagging +3

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

3 code implementations25 Oct 2020 Yin Cao, Turab Iqbal, Qiuqiang Kong, Fengyan An, Wenwu Wang, Mark D. Plumbley

Polyphonic sound event localization and detection (SELD), which jointly performs sound event detection (SED) and direction-of-arrival (DoA) estimation, detects the type and occurrence time of sound events as well as their corresponding DoA angles simultaneously.

Sound Audio and Speech Processing

Event-Independent Network for Polyphonic Sound Event Localization and Detection

2 code implementations30 Sep 2020 Yin Cao, Turab Iqbal, Qiuqiang Kong, Yue Zhong, Wenwu Wang, Mark D. Plumbley

In this paper, a novel event-independent network for polyphonic sound event localization and detection is proposed.

Audio and Speech Processing Sound

Learning with Out-of-Distribution Data for Audio Classification

1 code implementation11 Feb 2020 Turab Iqbal, Yin Cao, Qiuqiang Kong, Mark D. Plumbley, Wenwu Wang

The proposed method uses an auxiliary classifier, trained on data that is known to be in-distribution, for detection and relabelling.

Audio Classification Classification +1

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

1 code implementation1 May 2019 Yin Cao, Qiuqiang Kong, Turab Iqbal, Fengyan An, Wenwu Wang, Mark D. Plumbley

In this paper, it is experimentally shown that the training information of SED is able to contribute to the direction of arrival estimation (DOAE).

Sound Audio and Speech Processing

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