Title :
A wind-noise suppressor with wind-burst detection based on a stationary noise estimate
Author :
Sugiyama, Akihiko ; Kato, Masanori ; Miyahara, Ryoji
Author_Institution :
Inf. & Media Process. Res. Labs., NEC Corp., Kawasaki, Japan
Abstract :
This paper presents a wind-noise suppressor with wind-burst detection based on a stationary noise estimate. Input that exceeds an estimated stationary noise level is detected as wind burst. Upon detection, the spectral gain is reduced to apply maximum suppression determined by a floor gain. False detection of a speech onset as wind is minimized by speech-wind discrimination with spectral smoothness. Its implementation as an Android app is outlined. Subjective evaluation results show that a 5-grade ACR (absolute category rating) MOS for the proposed wind-noise suppressor reaches 3.4 and is 0.56 higher than that by a conventional noise suppressor with a statistically significant difference.
Keywords :
interference suppression; signal processing; Android app; maximum suppression; spectral gain; speech onset; speech-wind discrimination; stationary noise estimate; wind-burst detection; wind-noise suppressor; Androids; Humanoid robots; Media; Noise; Noise measurement; Speech; Wind;
Conference_Titel :
Consumer Electronics (ICCE), 2015 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-7542-6
DOI :
10.1109/ICCE.2015.7066304