22 citations · 28 across the 9 of their papers we have counts for
9 papers
On the Geometry of Music Bandwidth Extension in Latent Spaces of Audio Codecs
Hendrik Vincent Koops, Hao Hao Tan, Elio Quinton
Recent audio restoration increasingly relies on large-scale conditional latent generative modeling, including diffusion, Schrodinger Bridges, and Flow Matching variants, to invert…
Single-step Controllable Music Bandwidth Extension With Flow Matching
Carlos Hernandez-Olivan, Hendrik Vincent Koops, Hao Hao Tan +1
Audio restoration consists in inverting degradations of a digital audio signal to recover what would have been the pristine quality signal before the degradation occurred. This is…
Not All Deepfakes Are Created Equal: Triaging Audio Forgeries for Robust Deepfake Singer Identification
Davide Salvi, Hendrik Vincent Koops, Elio Quinton
The proliferation of highly realistic singing voice deepfakes presents a significant challenge to protecting artist likeness and content authenticity. Automatic singer identificati…
Robust Lossy Audio Compression Identification
Hendrik Vincent Koops, Gianluca Micchi, Elio Quinton
Previous research contributions on blind lossy compression identification report near perfect performance metrics on their test set, across a variety of codecs and bit rates. Howev…
Find the Cliffhanger: Multi-Modal Trailerness in Soap Operas
Carlo Bretti, Pascal Mettes, Hendrik Vincent Koops +2
Creating a trailer requires carefully picking out and piecing together brief enticing moments out of a longer video, making it a challenging and time-consuming task. This requires…
Serenade: A Model for Human-in-the-loop Automatic Chord Estimation
Hendrik Vincent Koops, Gianluca Micchi, Ilaria Manco +1
Computational harmony analysis is important for MIR tasks such as automatic segmentation, corpus analysis and automatic chord label estimation. However, recent research into the am…
AI Song Contest: Human-AI Co-Creation in Songwriting
Cheng-Zhi Anna Huang, Hendrik Vincent Koops, Ed Newton-Rex +2
Machine learning is challenging the way we make music. Although research in deep generative models has dramatically improved the capability and fluency of music models, recent work…
DECIBEL: Improving Audio Chord Estimation for Popular Music by Alignment and Integration of Crowd-Sourced Symbolic Representations
Daphne Odekerken, Hendrik Vincent Koops, Anja Volk
Automatic Chord Estimation (ACE) is a fundamental task in Music Information Retrieval (MIR) and has applications in both music performance and MIR research. The task consists of se…
Chord Label Personalization through Deep Learning of Integrated Harmonic Interval-based Representations
H. V. Koops, W. B. de Haas, J. Bransen +1
The increasing accuracy of automatic chord estimation systems, the availability of vast amounts of heterogeneous reference annotations, and insights from annotator subjectivity res…