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20172026
most citedA Functional Taxonomy of Music Generation Systems

124 citations · 358 across the 27 of their papers we have counts for

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Showing 2019Show all

9 papers · 1 filter

eess.AS2019★ 3 cited

Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders

Yin-Jyun Luo, Chin-Chen Hsu, Kat Agres +1

We propose a flexible framework that deals with both singer conversion and singers vocal technique conversion. The proposed model is trained on non-parallel corpora, accommodates m…

cs.SD2019

Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networks

Kin Wai Cheuk, Balamurali B. T., Gemma Roig +1

We present an approach to tackle the speaker recognition problem using Triplet Neural Networks. Currently, the -vector representation with probabilistic linear discriminant anal…

cs.SD2019★ 3 cited

Midi Miner -- A Python library for tonal tension and track classification

Rui Guo, Dorien Herremans, Thor Magnusson

We present a Python library, called Midi Miner, that can calculate tonal tension and classify different tracks. MIDI (Music Instrument Digital Interface) is a hardware and software…

cs.CV2019★ 2 cited

Multimodal Deep Models for Predicting Affective Responses Evoked by Movies

Ha Thi Phuong Thao, Dorien Herremans, Gemma Roig

The goal of this study is to develop and analyze multimodal models for predicting experienced affective responses of viewers watching movie clips. We develop hybrid multimodal pred…

eess.SP2019

Doppler Invariant Demodulation for Shallow Water Acoustic Communications Using Deep Belief Networks

Abigail Lee-Leon, Chau Yuen, Dorien Herremans

Shallow water environments create a challenging channel for communications. In this paper, we focus on the challenges posed by the frequency-selective signal distortion called the…

cs.LG2019★ 5 cited

Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders

Yin-Jyun Luo, Kat Agres, Dorien Herremans

In this paper, we learn disentangled representations of timbre and pitch for musical instrument sounds. We adapt a framework based on variational autoencoders with Gaussian mixture…

cs.HC2019

A novel music-based game with motion capture to support cognitive and motor function in the elderly

Kat Agres, Simon Lui, Dorien Herremans

This paper presents a novel game prototype that uses music and motion detection as preventive medicine for the elderly. Given the aging populations around the globe, and the limite…

cs.SD2019

Towards robust audio spoofing detection: a detailed comparison of traditional and learned features

Balamurali BT, Kin Wah Edward Lin, Simon Lui +2

Automatic speaker verification, like every other biometric system, is vulnerable to spoofing attacks. Using only a few minutes of recorded voice of a genuine client of a speaker ve…

cs.SD2019★ 69 cited

Dance Hit Song Prediction

Dorien herremans, David Martens, Kenneth Sörensen

Record companies invest billions of dollars in new talent around the globe each year. Gaining insight into what actually makes a hit song would provide tremendous benefits for the…