Abstract: This paper presents and explores a robust deep learning framework for auscultation analysis. This aims to classify anomalies in respiratory cycles and detect diseases, from respiratory sound ...
Abstract: In this paper we present the differentiable log-Mel spectrogram (DMEL) for audio classification. DMEL uses a Gaussian window, with a window length that can be jointly optimized with the ...
Use this tool to convert CAN frame log (without a DBC file) into a MAT file that can be read by the MATLAB/Simulink Vehicle Networking Toolbox CAN Replay block. The two formats are CAN frame based, ...
PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. Unlike many previous implementations, this is kind of a Comprehensive Tacotron2 where ...