output
20162026
most citedMulti-Speaker DOA Estimation Using Deep Convolutional Networks Trained with Noise Signals

328 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2022Show all

7 papers · 1 filter

eess.IV2022★ 9 cited

Audiovisual Database with 360 Video and Higher-Order Ambisonics Audio for Perception, Cognition, Behavior, and QoE Evaluation Research

Thomas Robotham, Ashutosh Singla, Olli S. Rummukainen +2

Research into multi-modal perception, human cognition, behavior, and attention can benefit from high-fidelity content that may recreate real-life-like scenes when rendered on head-…

eess.AS2022★ 15 cited

Can we still use PEAQ? A Performance Analysis of the ITU Standard for the Objective Assessment of Perceived Audio Quality

Pablo M. Delgado, Jürgen Herre

The Perceptual Evaluation of Audio Quality (PEAQ) method as described in the International Telecommunication Union (ITU) recommendation ITU-R BS.1387 has been widely used for compu…

eess.AS2022★ 8 cited

Objective Assessment of Spatial Audio Quality using Directional Loudness Maps

Pablo M. Delgado, Jürgen Herre

This work introduces a feature extracted from stereophonic/binaural audio signals aiming to represent a measure of perceived quality degradation in processed spatial auditory scene…

eess.AS2022★ 4 cited

An Analysis Method for Metric-Level Switching in Beat Tracking

Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies +2

For expressive music, the tempo may change over time, posing challenges to tracking the beats by an automatic model. The model may first tap to the correct tempo, but then may fail…

eess.AS2022★ 3 cited

Dialogue Enhancement and Listening Effort in Broadcast Audio: A Multimodal Evaluation

Matteo Torcoli, Thomas Robotham, Emanuël A. P. Habets

Dialogue enhancement (DE) plays a vital role in broadcasting, enabling the personalization of the relative level between foreground speech and background music and effects. DE has…

eess.AS2022★ 14 cited

Blind Reverberation Time Estimation in Dynamic Acoustic Conditions

Philipp Götz, Cagdas Tuna, Andreas Walther +1

The estimation of reverberation time from real-world signals plays a central role in a wide range of applications. In many scenarios, acoustic conditions change over time which in…

eess.AS2022★ 16 cited

Signal-Aware Direction-of-Arrival Estimation Using Attention Mechanisms

Wolfgang Mack, Julian Wechsler, Emanuël A. P. Habets

The direction-of-arrival (DOA) of sound sources is an essential acoustic parameter used, e.g., for multi-channel speech enhancement or source tracking. Complex acoustic scenarios c…