17 citations · 24 across the 10 of their papers we have counts for
12 papers
Robust Speech Activity Detection in the Presence of Singing Voice
Philipp Grundhuber, Mhd Modar Halimeh, Martin Strauß +1
Speech Activity Detection (SAD) systems often misclassify singing as speech, leading to degraded performance in applications such as dialogue enhancement and automatic speech recog…
Neural Directional Filtering Using a Compact Microphone Array
Weilong Huang, Srikanth Raj Chetupalli, Mhd Modar Halimeh +2
Beamforming with desired directivity patterns using compact microphone arrays is essential in many audio applications. Directivity patterns achievable using traditional beamformers…
Acoustic Teleportation via Disentangled Neural Audio Codec Representations
Philipp Grundhuber, Mhd Modar Halimeh, Emanuël A. P. Habets
This paper presents an approach for acoustic teleportation by disentangling speech content from acoustic environment characteristics in neural audio codec representations. Acoustic…
Navigating PESQ: Up-to-Date Versions and Open Implementations
Matteo Torcoli, Mhd Modar Halimeh, Emanuël A. P. Habets
Perceptual Evaluation of Speech Quality (PESQ) is an objective quality measure that remains widely used despite its withdrawal by the International Telecommunication Union (ITU). P…
On the Relation Between Speech Quality and Quantized Latent Representations of Neural Codecs
Mhd Modar Halimeh, Matteo Torcoli, Philipp Grundhuber +1
Neural audio signal codecs have attracted significant attention in recent years. In essence, the impressive low bitrate achieved by such encoders is enabled by learning an abstract…
Neural Directional Filtering: Far-Field Directivity Control With a Small Microphone Array
Julian Wechsler, Srikanth Raj Chetupalli, Mhd Modar Halimeh +2
Capturing audio signals with specific directivity patterns is essential in speech communication. This study presents a deep neural network (DNN)-based approach to directional filte…
ConcateNet: Dialogue Separation Using Local And Global Feature Concatenation
Mhd Modar Halimeh, Matteo Torcoli, Emanuël Habets
Dialogue separation involves isolating a dialogue signal from a mixture, such as a movie or a TV program. This can be a necessary step to enable dialogue enhancement for broadcast-…
Speech Loudness in Broadcasting and Streaming
Matteo Torcoli, Mhd Modar Halimeh, Thomas Leitz +6
The introduction and regulation of loudness in broadcasting and streaming brought clear benefits to the audience, e.g., a level of uniformity across programs and channels. Yet, spe…
ODAQ: Open Dataset of Audio Quality
Matteo Torcoli, Chih-Wei Wu, Sascha Dick +4
Research into the prediction and analysis of perceived audio quality is hampered by the scarcity of openly available datasets of audio signals accompanied by corresponding subjecti…
Exploiting spatial information with the informed complex-valued spatial autoencoder for target speaker extraction
Annika Briegleb, Mhd Modar Halimeh, Walter Kellermann
In conventional multichannel audio signal enhancement, spatial and spectral filtering are often performed sequentially. In contrast, it has been shown that for neural spatial filte…
Complex-valued Spatial Autoencoders for Multichannel Speech Enhancement
Mhd Modar Halimeh, Walter Kellermann
In this contribution, we present a novel online approach to multichannel speech enhancement. The proposed method estimates the enhanced signal through a filter-and-sum framework. M…
A Synergistic Kalman- and Deep Postfiltering Approach to Acoustic Echo Cancellation
Thomas Haubner, Mhd. Modar Halimeh, Andreas Brendel +1
We introduce a synergistic approach to double-talk robust acoustic echo cancellation combining adaptive Kalman filtering with a deep neural network-based postfilter. The proposed a…