54 citations · 72 across the 5 of their papers we have counts for
5 papers
Word Embeddings for Automatic Equalization in Audio Mixing
Satvik Venkatesh, David Moffat, Eduardo Reck Miranda
In recent years, machine learning has been widely adopted to automate the audio mixing process. Automatic mixing systems have been applied to various audio effects such as gain-adj…
An approach to interfacing the brain with quantum computers: practical steps and caveats
Eduardo Reck Miranda, Satvik Venkatesh, Jose D. Martın-Guerrero +3
We report on the first proof-of-concept system demonstrating how one can control a qubit with mental activity. We developed a method to encode neural correlates of mental activity…
You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection
Satvik Venkatesh, David Moffat, Eduardo Reck Miranda
Audio segmentation and sound event detection are crucial topics in machine listening that aim to detect acoustic classes and their respective boundaries. It is useful for audio-con…
Quantum Brain Networks: a Perspective
E. R. Miranda, S. Venkatesh, C. Hernani-Morales +3
We propose Quantum Brain Networks (QBraiNs) as a new interdisciplinary field integrating knowledge and methods from neurotechnology, artificial intelligence, and quantum computing.…
Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio Broadcast
Satvik Venkatesh, David Moffat, Alexis Kirke +8
Segmenting audio into homogeneous sections such as music and speech helps us understand the content of audio. It is useful as a pre-processing step to index, store, and modify audi…