Abstract: This paper proposes an online adaptation method for Fourier series based acoustic transfer function (TF) models for robot audition systems based on microphone array signal processing. The TF ...

Abstract: This letter proposes a novel layout optimization method for microstrip networks, which performs Fourier series decomposition on the planar closed curves representing the boundaries of ...

Vocos is a fast neural vocoder designed to synthesize audio waveforms from acoustic features. Trained using a Generative Adversarial Network (GAN) objective, Vocos can generate waveforms in a single ...

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Time Intervals There was an error ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

“There is a critical gap between the performance of machine learning [and] what we would expect in a safety-critical system,” – George Pappas, Associate Dean of Research, School of Engineering and ...