118 citations · 386 across the 14 of their papers we have counts for
3 papers · 1 filter
ARCA23K: An audio dataset for investigating open-set label noise
Turab Iqbal, Yin Cao, Andrew Bailey +2
The availability of audio data on sound sharing platforms such as Freesound gives users access to large amounts of annotated audio. Utilising such data for training is becoming inc…
Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning
Xubo Liu, Turab Iqbal, Jinzheng Zhao +3
Deep generative models have recently achieved impressive performance in speech and music synthesis. However, compared to the generation of those domain-specific sounds, generating…
Enhancing Audio Augmentation Methods with Consistency Learning
Turab Iqbal, Karim Helwani, Arvindh Krishnaswamy +1
Data augmentation is an inexpensive way to increase training data diversity and is commonly achieved via transformations of existing data. For tasks such as classification, there i…