activity
20172023
most citedDeep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments

62 citations · 64 across the 6 of their papers we have counts for

collaborators

6 papers

eess.AS2023

Attention Is All You Need For Blind Room Volume Estimation

Chunxi Wang, Maoshen Jia, Meiran Li +2

In recent years, dynamic parameterization of acoustic environments has raised increasing attention in the field of audio processing. One of the key parameters that characterize the…

eess.AS2023★ 1 cited

Blind Acoustic Room Parameter Estimation Using Phase Features

Christopher Ick, Adib Mehrabi, Wenyu Jin

Modeling room acoustics in a field setting involves some degree of blind parameter estimation from noisy and reverberant audio. Modern approaches leverage convolutional neural netw…

eess.AS2022

Acoustic Room Compensation Using Local PCA-based Room Average Power Response Estimation

Wenyu Jin, Patrick McPherson, Chris Pike +1

Acoustic room compensation techniques, which allow a sound reproduction system to counteract undesired alteration to the sound scene due to excessive room resonances, have been wid…

eess.AS2021★ 1 cited

Individualized Hear-through For Acoustic Transparency Using PCA-Based Sound Pressure Estimation At The Eardrum

Wenyu Jin, Tim Schoof, Henning Schepker

The hear-through functionality on hearing devices, which allows hearing equivalent to the open-ear while providing the possibility to modify the sound pressure at the eardrum in a…

eess.AS2019

A Signal Subspace Rotation Method for Localization of Multiple Wideband Sound Sources

Kainan Chen, Wenyu Jin, Bharadwaj Desikan

In this paper, the problem of extending narrowband multichannel sound source localization algorithms to the wideband case is addressed. The DOA estimation of narrowband algorithms…

cs.SD2017★ 62 cited

Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments

Zixing Zhang, Jürgen Geiger, Jouni Pohjalainen +3

Eliminating the negative effect of non-stationary environmental noise is a long-standing research topic for automatic speech recognition that stills remains an important challenge.…