We introduce AudioPaLM, a large language model for speech understanding ...
Typically, neural network-based speech dereverberation models are traine...
We present a method to separate speech signals from noisy environments i...
Mel-filterbanks are fixed, engineered audio features which emulate human...
The ultimate goal of transfer learning is to reduce labeled data require...
We learn audio representations by solving a novel self-supervised learni...
We explore self-supervised models that can be potentially deployed on mo...