US 12,322,406 B1
Method and system for noise reduction in aircraft simulator sounds, device, and medium
Lijing Wang, Beijing (CN); Runhao Li, Beijing (CN); Xiaolong Wang, Beijing (CN); Yanzeng Zhao, Beijing (CN); Haixin Xu, Beijing (CN); Tianyang Cai, Beijing (CN); Yunan Zou, Beijing (CN); Jun Zhang, Beijing (CN); and Jiaying Zou, Beijing (CN)
Assigned to Beihang University, Beijing (CN)
Filed by Beihang University, Beijing (CN)
Filed on Nov. 14, 2024, as Appl. No. 18/947,651.
Claims priority of application No. 202410345666.4 (CN), filed on Mar. 26, 2024.
Int. Cl. H04B 15/00 (2006.01); G10L 21/0208 (2013.01); G10L 25/30 (2013.01)
CPC G10L 21/0208 (2013.01) [G10L 25/30 (2013.01)] 2 Claims
OG exemplary drawing
 
1. A system for noise reduction in aircraft simulator sounds, comprising:
an acquisition module configured to acquire sound data from an aircraft simulator sound system;
a classification module configured to classify the sound data to obtain classified audio data;
a Short-Time Fourier Transform (STFT) module configured to perform STFT processing on the classified audio data to obtain spectral frames;
a time series feature analysis unit configured to process the spectral frames by using a recurrent neural network, and extract time series features from an input noisy audio signal to capture time-dependence and dynamic changes in audio data, thereby obtaining the time series features of the audio data;
a noise reduction unit configured to input the time series features of the audio data into a deep Q-network, wherein the deep Q-network uses a deep symbolic regression algorithm to optimize processed spectral frames based on evaluation indicators comprising signal-to-noise ratio, speech distortion, and channel distortion by adaptively adjusting a window function type, a window length, a Fast Fourier Transform (FFT) length, and a hop length, thereby achieving efficient noise reduction; and
an inverse STFT module configured to perform inverse STFT on the processed spectral frames to obtain denoised audio.