Built a modular Audio Signal Processing Lab in Python focused on DSP and audio analysis. Implemented: • FFT spectrum analysis • STFT spectrogram visualization • Low-pass / high-pass / band-pass ...

Songs are split into overlapping chunks Each chunk is converted to a mel spectrogram image A CNN is trained to classify spectrogram images by song ID Prediction runs ...

Hi Everyone--Please checkout my article I published on Audio Signal Processing for Machine Learning. If you have ever been curious how sound is produced and then creates waves that can be transformed ...

This project exists because of a $300 mistake. While building a 4G LTE network on a BladeRF using srsRAN, corrupted packets from the radio cost five weeks of debugging with no clear path to the root ...

Abstract: In this work, we propose CleanMel, a single-channel Mel-spectrogram denoising and dereverberation network for improving both speech quality and automatic speech recognition (ASR) performance ...

Abstract: Spectrum sensing is one of the key problems in the cognitive radio network. Existing spectrum sensing methods commonly use deep learning models such as the convolutional neural network (CNN) ...