MT-SLVR: Co-Learning Towards Harmony in Audio Processing
‘MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations’ was released in late May 2023, after being accepted to InterSpeech23. It proposed a novel multi-task learning approach, capable of co-learning seemingly conflicting features. This blog aims to be a more informal and digestible breakdown of the work. All relevant code, or links to, can be found here.