88 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
12 papers
Room compensation for loudspeaker reproduction using a supporting source
James Brooks-Park, Søren Bech, Jan Østergaard +1
Room compensation aims to improve the accuracy of loudspeaker reproduction in reverberant environments. Traditional methods, however, are limited to improving only spectral (timbra…
Fast-ULCNet: A fast and ultra low complexity network for single-channel speech enhancement
Nicolás Arrieta Larraza, Niels de Koeijer
Single-channel speech enhancement algorithms are often used in resource-constrained embedded devices, where low latency and low complexity designs gain more importance. In recent y…
One Prompt, Many Sounds: Modeling Listener Variability in LLM-Based Equalization
Ioannis Stylianou, Jon Francombe, Pablo Martinez-Nuevo +2
Conventional audio equalization is a static process that requires manual and cumbersome adjustments to adapt to changing listening contexts (e.g., mood, location, or social setting…
Nonuniform Sampling Rate Conversion: An Efficient Approach
Pablo Martínez-Nuevo
We present a discrete-time algorithm for nonuniform sampling rate conversion that presents low computational complexity and memory requirements. It generalizes arbitrary sampling r…
Sound field reconstruction in rooms: inpainting meets super-resolution
Francesc Lluís, Pablo Martínez-Nuevo, Martin Bo Møller +1
In this paper, a deep-learning-based method for sound field reconstruction is proposed. It is shown the possibility to reconstruct the magnitude of the sound pressure in the freque…
Deep Joint Embeddings of Context and Content for Recommendation
Miklas S. Kristoffersen, Jacob L. Wieland, Sven E. Shepstone +2
This paper proposes a deep learning-based method for learning joint context-content embeddings (JCCE) with a view to context-aware recommendations, and demonstrate its application…
The Importance of Context When Recommending TV Content: Dataset and Algorithms
Miklas S. Kristoffersen, Sven E. Shepstone, Zheng-Hua Tan
Home entertainment systems feature in a variety of usage scenarios with one or more simultaneous users, for whom the complexity of choosing media to consume has increased rapidly o…
Lattice Functions for the Analysis of Analog-to-Digital Conversion
Pablo Martínez-Nuevo, Alan. V. Oppenheim
Analog-to-digital (A/D) converters are the common interface between analog signals and the domain of digital discrete-time signal processing. In essence, this domain simultaneously…
On the Construction of Jointly Superregular Lower Triangular Toeplitz Matrices
Jonas Hansen, Jan Østergaard, Johnny Kudahl +1
Superregular matrices have the property that all of their submatrices, which can be full rank are so. Lower triangular superregular matrices are useful for e.g., maximum distance s…
Source Coding in Networks with Covariance Distortion Constraints
Adel Zahedi, Jan Østergaard, Søren Holdt Jensen +2
We consider a source coding problem with a network scenario in mind, and formulate it as a remote vector Gaussian Wyner-Ziv problem under covariance matrix distortions. We define a…
Distributed Remote Vector Gaussian Source Coding for Wireless Acoustic Sensor Networks
Adel Zahedi, Jan Ostergaard, Soren Holdt Jensen +2
In this paper, we consider the problem of remote vector Gaussian source coding for a wireless acoustic sensor network. Each node receives messages from multiple nodes in the networ…
Distributed Remote Vector Gaussian Source Coding with Covariance Distortion Constraints
Adel Zahedi, Jan Ostergaard, Soren Holdt Jensen +2
In this paper, we consider a distributed remote source coding problem, where a sequence of observations of source vectors is available at the encoder. The problem is to specify the…