Our ECoG to Speech decoding framework is initially described in A Neural Speech Decoding Framework Leveraging Deep Learning and Speech Synthesis. We present a novel deep learning-based neural speech ...
Abstract: In this communication, a novel deep learning (DL)-based solver is proposed for the electromagnetic forward (EMF) process. It is based on the complex-valued deep convolutional neural networks ...
A library for decoding audio files, including support for decoding specific timestamp ranges within files. Written with FFmpeg and compiled to WebAssembly via Emscripten. Intended for use in browser ...
Abstract: Accurate traffic flow prediction is becoming increasingly important for transportation planning, control, management, and information services of successful. Numerous existing models focus ...