Results 51 to 60 of about 215 (163)
Blind‐Matched Filtering for Speech Enhancement with Distributed Microphones
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
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
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
Implementation of Hybrid Speech Dereverberation Systems and Proposing Dual Microphone Farsi Database in Order to Evaluating Enhancement Systems [PDF]
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
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
Two-Microphone Dereverberation for Automatic Speech Recognition of Polish
Reverberation is a common problem for many speech technologies, such as automatic speech recognition (ASR) systems. This paper investigates the novel combination of precedence, binaural and statistical independence cues for enhancing reverberant speech ...
Mikolaj KUNDEGORSKI +2 more
doaj +1 more source
Active noise control (ANC) algorithms have been developed within the adaptive algorithm framework. However, multichannel ANC systems, which include numerous reference sensors, control speakers, and error microphones, require a very long control filter converging time for control filter estimation.
Hakjun Lee +2 more
wiley +1 more source
The reverberant speech signal includes different frequency components induced by the effect of path delay. The frequency components are correlatedly modulated in frequency domain.
Haiyan QUAN, Tao WANG, Zhiqing ZHENG
doaj
The speech intelligibility of indoor public address systems is degraded by reverberation and background noise. This paper proposes a preprocessing method that combines speech enhancement and inverse filtering to improve the speech intelligibility in such
Huan-Yu Dong, Chang-Myung Lee
doaj +1 more source
Abstract Large continental transform faults are thought to cross‐cut the crust and extend into the lithospheric mantle. However, the strain distribution associated with these faults at mantle depths is not well understood. At the heart of this question is the rheology of the lithosphere: when stressed by displacement on a trans‐crustal fault, does the ...
Hannah F. Mark
wiley +1 more source

