Search Results for author:
Found 6 papers, 5 papers with code
Teaching Qubits to Sing: Mission Impossible?
It extracts sequencing rules from input music and uses these rules to generate new tunes, which are sung by a vocal synthesiser.
Word Embeddings for Automatic Equalization in Audio Mixing
In this paper, we explore the novel idea of using word embeddings to represent semantic descriptors.
An approach to interfacing the brain with quantum computers: practical steps and caveats
At the time of writing, available quantum computing hardware and brain activity sensing technology are not sufficiently developed for real-time control of quantum states with the brain.
A Quantum Natural Language Processing Approach to Musical Intelligence
In particular, we are importing methods from the Distributional Compositional Categorical (DisCoCat) modelling framework for Natural Language Processing (NLP), motivated by musical grammars.
You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection
As the output of YOHO is more end-to-end and has fewer neurons to predict, the speed of inference is at least 6 times faster than segmentation-by-classification.
Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio Broadcast
It is useful as a pre-processing step to index, store, and modify audio recordings, radio broadcasts and TV programmes.
