Results 41 to 50 of about 2,995 (171)
Deep Learning Methods for Underwater Target Feature Extraction and Recognition
Computational Intelligence and Neuroscience, Volume 2018, Issue 1, 2018., 2018 The classification and recognition technology of underwater acoustic signal were always an important research content in the field of underwater acoustic signal processing. Currently, wavelet transform, Hilbert‐Huang transform, and Mel frequency cepstral coefficients are used as a method of underwater acoustic signal feature extraction.
Gang Hu +6 more
wiley +1 more source
Dereverberation by Using Time-Variant Nature of Speech Production System
EURASIP Journal on Advances in Signal Processing, 2007 This paper addresses the problem of blind speech dereverberation by inverse filtering of a room acoustic system. Since a speech signal can be modeled as being generated by a speech production system driven by an innovations process, a reverberant signal
Yoshioka Takuya +2 more
doaj +2 more sources
De-Noising Process in Room Impulse Response with Generalized Spectral Subtraction
Applied Sciences, 2021 The generalized spectral subtraction algorithm (GBSS), which has extraordinary ability in background noise reduction, is historically one of the first approaches used for speech enhancement and dereverberation. However, the algorithm has not been applied
Min Chen, Chang-Myung Lee
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Noisy Reverberation Suppression Using AdaBoost Based EMD in Underwater Scenario
International Journal of Oceanography, Volume 2014, Issue 1, 2014., 2014 Reverberation suppression is a crucial problem in sonar communications. If the acoustic signal is radiated in the water as medium then the degradation is caused due to the reflection coming from surface, bottom, and volume of water. This paper presents a novel signal processing scheme that offers an improved solution in reducing the effect of ...
Kusma Kumari Cheepurupalli +2 more
wiley +1 more source
Blind‐Matched Filtering for Speech Enhancement with Distributed Microphones
Journal of Electrical and Computer Engineering, Volume 2012, Issue 1, 2012., 2012 A multichannel noise reduction and equalization approach for distributed microphones is presented. The speech enhancement is based on a blind‐matched filtering algorithm that combines the microphone signals such that the output SNR is maximized. The algorithm is developed for spatially uncorrelated but nonuniform noise fields, that is, the noise ...
Sebastian Stenzel +2 more
wiley +1 more source
Engineering Reports, Volume 8, Issue 1, January 2026.This workflow presents a complete pipeline for audio data processing, beginning with format conversion, channel adjustments, and cleaning, followed by enhancement and visualization techniques. It further applies signal separation using FastICA, postprocessing, and evaluation metrics (SDR, SIR, SAR) to improve audio analysis and support future research ...
Md. Razu Ahmed +3 more
wiley +1 more source
International Scholarly Research Notices, Volume 2011, Issue 1, 2011., 2011 We propose an alternative approach to the Balanced Model Truncation method (standard method). This approach reduces substantially the order of minimum‐phase inverse filters for equalizing room acoustics. This method is based on a property of the filter z transform function, which modifies the corresponding FIR coefficients before the application of the
Maamar Ahfir +4 more
wiley +1 more source
Speech Dereverberation Based on Integrated Deep and Ensemble Learning Algorithm
, 2018 Reverberation, which is generally caused by sound reflections from walls, ceilings, and floors, can result in severe performance degradation of acoustic applications.
Chen, Fei +5 more
core +1 more source
Implementation of Hybrid Speech Dereverberation Systems and Proposing Dual Microphone Farsi Database in Order to Evaluating Enhancement Systems [PDF]
Journal of Intelligent Procedures in Electrical Technology, 2013 In various applications, such as speech recognition and automatic teleconferencing, the recorded speech signals may be corrupted by both noise and reverberation. Reverberation causes a noticeable change in speech intelligibility and quality.
Farhad Faghani, Hamid Reza Abutalebi
doaj
Reverberant environment embedding using dereverberation autoencoder
Electronics Letters, Volume 61, Issue 1, January/December 2025.We design a neural network architecture for dereverberation, combining linear prediction and dereverberation autoencoder. To improve reverberant speech recognition performance with low computational complexity, we propose a method to extract environmental embedding named DA‐embedding instead of applying dereverberation to the input of an acoustic model.
Sunchan Park, Hyung Soon Kim
wiley +1 more source