@InProceedings{Lösch2020_450,
<br/>   author = {Enrico Lösch and Oliver Jokisch and Alexander Leipnitz and Ingo Siegert},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2020},
<br/>   title = {Reduction of Aircraft Noise in UAV-Based Speech Signal Recordings by Quantile Based Noise Estimation},
<br/>   year = {2020},
<br/>   editor = {Andreas Wendemuth and Ronald Böck and Ingo Siegert},
<br/>   month = mar,
<br/>   pages = {149--156},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {In this article we survey, whether the signal-to-noise ratio of speech signals,
superimposed by flight noise, can be significantly improved by advanced
noise-estimation methods, such as Quantile Based Noise Estimation (QBNE) or
Adaptive Quantile Based Noise Estimation (AQBNE) and a spectral subtraction of
the respective noise components. Our test object, a typical commercial UAV (DJI
Mavic Pro), has been extended by a lightweight 8-microphone array (vicDIVA).
The speech recordings in a free-field environment are processed with a batterypowered
Raspberry Pi 3, attached to the UAV. The source of the speech signals is
located on the ground. During our recordings, the UAV is hovering over the sound
source. In addition to the noise-estimation methods QBNE and AQBNE, different
distances between sound source and UAV as well as the directional effects of the
microphone array (beamforming and steering) are investigated.},
<br/>   isbn = {978-3-959081-93-1},
<br/>   issn = {0940-6832},
<br/>   keywords = {Poster},
<br/>   url = {https://www.essv.de/pdf/2020_149_156.pdf},
<br/>}