Adaptive filters are applicable to many signal processing tasks includin...
We present a framework that can impose the audio effects and production ...
Adaptive filtering algorithms are pervasive throughout modern society an...
Content creators often use music to enhance their stories, as it can be ...
Few-shot learning aims to train models that can recognize novel classes ...
Adaptive filtering algorithms are commonplace in signal processing and h...
Modifying the pitch and timing of an audio signal are fundamental audio
...
The task of manipulating the level and/or effects of individual instrume...
We present a data-driven approach to automate audio signal processing by...
Text-based speech editors expedite the process of editing speech recordi...
Deep representation learning offers a powerful paradigm for mapping inpu...
Music similarity search is useful for a variety of creative tasks such a...
Speech synthesis has recently seen significant improvements in fidelity,...
Data-driven approaches to automatic drum transcription (ADT) are often
l...
Assessment of many audio processing tasks relies on subjective evaluatio...
We present a new method to capture the acoustic characteristics of real-...
The reverberation time (T60) and the direct-to-reverberant ratio (DRR) a...
Reverberation time (T60) and the direct-to-reverberant ratio (DRR) are t...