CHeggan
Ph.D. Student researching Machine Learning at the University of Edinburgh. Interested in Few-Shot Learning for Audio Signals
University Of EdinburghEdinburgh
Pinned Repositories
unisiam
[ECCV2022] PyTorch re-implementation of Self-Supervision Can Be a Good Few-Shot Learner
AudioSet-Creative-Commons-ASCC
A Creative Commons subset of AudioSet, ready to be downloaded as raw files.
AudioSet-For-Meta-Learning
A convenient set of tools for downloading a quality controlled version of AudioSet in Python, with additional considerations for Meta-Learning based on current research
CHeggan
Landing page
CHeggan.github.io
GitHub IO Page
Few-Shot-Classification-for-Audio-Evaluation
An all in one few-shot audio classification evaluation framework.
MetaAudio-A-Few-Shot-Audio-Classification-Benchmark
A new comprehensive and diverse few-shot acoustic classification benchmark.
MT-SLVR
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations. A novel algorithm capable of effectively learning both augmentation invariant and equivariant features.
INTERSPEECH-2023-24-Papers
INTERSPEECH 2023-2024 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023-24 conference. Explore the latest advances in speech and language processing. Code included. Star the repository to support the advancement of speech technology!
CHeggan's Repositories
CHeggan/MetaAudio-A-Few-Shot-Audio-Classification-Benchmark
A new comprehensive and diverse few-shot acoustic classification benchmark.
CHeggan/AudioSet-For-Meta-Learning
A convenient set of tools for downloading a quality controlled version of AudioSet in Python, with additional considerations for Meta-Learning based on current research
CHeggan/Few-Shot-Classification-for-Audio-Evaluation
An all in one few-shot audio classification evaluation framework.
CHeggan/MT-SLVR
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations. A novel algorithm capable of effectively learning both augmentation invariant and equivariant features.
CHeggan/CHeggan.github.io
GitHub IO Page
CHeggan/AudioSet-Creative-Commons-ASCC
A Creative Commons subset of AudioSet, ready to be downloaded as raw files.
CHeggan/CHeggan
Landing page