Search Results for author:
Found 7 papers, 6 papers with code
Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy
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
Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning
We evaluate our approach on the UrbanSound8K dataset, compared to SampleRNN, with the performance metrics measuring the quality and diversity of generated sounds.
Event-Independent Network for Polyphonic Sound Event Localization and Detection
In this paper, a novel event-independent network for polyphonic sound event localization and detection is proposed.
Audio and Speech Processing Sound
An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection
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
Learning with Out-of-Distribution Data for Audio Classification
The proposed method uses an auxiliary classifier, trained on data that is known to be in-distribution, for detection and relabelling.
ARCA23K: An audio dataset for investigating open-set label noise
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.
Enhancing Audio Augmentation Methods with Consistency Learning
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.
