48 citations · 165 across the 36 of their papers we have counts for
9 papers · 1 filter
Ranking the Impact of Contextual Specialization in Neural Speech Enhancement
Peter Leer, Svend Feldt, Zheng-Hua Tan +2
We systematically investigate neural speech enhancement systems, ranging from very small (10\,k parameters) to medium-large (2-5\,M parameters), which specialize to aco…
The Effect of Training Dataset Size on Discriminative and Diffusion-Based Speech Enhancement Systems
Philippe Gonzalez, Zheng-Hua Tan, Jan Østergaard +3
The performance of deep neural network-based speech enhancement systems typically increases with the training dataset size. However, studies that investigated the effect of trainin…
Deep low-latency joint speech transmission and enhancement over a gaussian channel
Mohammad Bokaei, Jesper Jensen, Simon Doclo +1
Ensuring intelligible speech communication for hearing assistive devices in low-latency scenarios presents significant challenges in terms of speech enhancement, coding and transmi…
How to train your ears: Auditory-model emulation for large-dynamic-range inputs and mild-to-severe hearing losses
Peter Leer, Jesper Jensen, Zheng-Hua Tan +2
Advanced auditory models are useful in designing signal-processing algorithms for hearing-loss compensation or speech enhancement. Such auditory models provide rich and detailed de…
Hearing-Loss Compensation Using Deep Neural Networks: A Framework and Results From a Listening Test
Peter Leer, Jesper Jensen, Laurel H. Carney +3
This article investigates the use of deep neural networks (DNNs) for hearing-loss compensation. Hearing loss is a prevalent issue affecting millions of people worldwide, and conven…
Diffusion-Based Speech Enhancement in Matched and Mismatched Conditions Using a Heun-Based Sampler
Philippe Gonzalez, Zheng-Hua Tan, Jan Østergaard +3
Diffusion models are a new class of generative models that have recently been applied to speech enhancement successfully. Previous works have demonstrated their superior performanc…
Head Orientation Estimation with Distributed Microphones Using Speech Radiation Patterns
Kaspar Müller, Bilgesu Çakmak, Paul Didier +3
Determining the head orientation of a talker is not only beneficial for various speech signal processing applications, such as source localization or speech enhancement, but also f…
Investigating the Design Space of Diffusion Models for Speech Enhancement
Philippe Gonzalez, Zheng-Hua Tan, Jan Østergaard +3
Diffusion models are a new class of generative models that have shown outstanding performance in image generation literature. As a consequence, studies have attempted to apply diff…
Joint Far- and Near-End Speech Intelligibility Enhancement based on the Approximated Speech Intelligibility Index
Andreas Jonas Fuglsig, Jan Østergaard, Jesper Jensen +3
This paper considers speech enhancement of signals picked up in one noisy environment which must be presented to a listener in another noisy environment. Recently, it has been show…