WavTTS is an end-to-end zero-shot TTS framework that generates speech directly in the raw waveform space, without relying on intermediate acoustic representations such as mel-spectrograms, VAE latents ...
Abstract: There are two major questions regarding Environmental Sound Classification (ESC). What is the best audio recognition framework, and what is the most robust audio feature? For investigating ...
Audio Data (UPDATED December 2020): The mel-scale spectrograms for the entire dataset can be downloaded from Dropbox: Harmonix_melspecs.tgz (~1.2GB). Information about the spectrograms is included in ...
The continuous operation of On-Load Tap-Changers (OLTC) is essential for maintaining stable voltage levels in power transmission and distribution systems. Timely fault detection in OLTC is essential ...
Deep learning has significantly advanced text-to-speech (TTS) systems. These neural network-based systems have enhanced speech synthesis quality and are increasingly vital in applications like ...
Abstract: Speech emotion recognition aims to automatically identify and classify emotions from speech signals. It plays a crucial role in various applications such as human-computer interaction, ...
Speech BCIs aim at reconstructing speech in real time from ongoing cortical activity. Ideal BCIs would need to reconstruct speech audio signal frame by frame on a millisecond-timescale. Such ...
Research fellow in Generative Audio AI, King's College London (KCL); Visiting Researcher, CVSSP, Sustainability Fellow, University of Surrey Arshdeep Singh is employed as a Research Fellow in the AI ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results