[PDF] Top 20 Acoustic Signal Processing Algorithms for Reverberant Environments

... The approach of this thesis is to explore how the intrinsic properties of re- verberation can be exploited to improve acoustic signal processing algorithms. A general approach to soundfield ... See full document

... Among the different methods based on Bayesian filtering, the concept of particle filtering (PF) appears as a promising approach to tackle the ASLT problem [2–4]. As a sequential Monte Carlo method, the PF technique can be ... See full document

... supporting algorithms, target signal detection/adaptation inhibition and leakage control, simple or more sophisticated versions of the system can be ...real acoustic environments ... See full document

... and reverberant-free outdoor ...of algorithms which applies various weight functions to the received signal (pre-filters) in order to improve the TDE performance in noisy ...ant environments ... See full document

... Digital signal processing is applied in many electroacous- tics apparatus ...digital signal processors (DSPs) nowadays provide much more processing power than their predecessors some few years ... See full document

... well-engineered processing strategies, such as an effective multichannel SE includ- ing dereverberation, deep neural network (DNN)-based acoustic modeling, and acoustic model ...severely ... See full document

... In the system presented in this paper, the micro- phone signals are first processed using an MVDR beam- former [17], which aims to suppress sound sources not arriving from the direction of arrival (DOA) of the tar- get ... See full document

... adaptive algorithms for acoustic echo cancellation along with their merits and ...In acoustic applications, the noise reflected from the surrounding environment reduces the audio and speech ... See full document

... speech signal as effi- ciently as ...effective acoustic model training methods made it possible for the acoustic model to learn relationships between features and phonemes to a higher extent than it ... See full document

... audio signal processing is the assumption of free-space propagation of narrowband signals between the sources and ...localization algorithms developed for these scenarios are also optimized to suit ... See full document

... G.0233.01, Signal Processing and Automatic Patient Fitting for Advanced Auditory Prostheses, the IWT Project 020540, Performance Improvement of Cochlear Implants by Innovative Speech Pro- cessing ... See full document

... recognition, signal processing, and discriminative feature ...adaptive signal processing, speech enhancement, adaptive noise/echo cancellation, microphone array signal ... See full document

... The demand for wireless broadband communication has been growing rapidly, which has been the driving force for the emergence of 5G cellular networks. It has recently been shown in the literature that millimeter wave ... See full document

... The recognition of motion patterns and interactions from trajectories is a challenging task, in particular when dynamics of moving agents are nonlinear through time and space. Moreover, a quick analysis of existent ... See full document

... The parameter setups of the DM, MDI, and NMF methods use the same values as the best performing systems in the experiments of our previous studies [17, 18]. The settings are briefly summarized here. Mel-spectral features ... See full document

... the acoustic echo paths have excessive lengths in time (up to hundreds of milliseconds), due to the slow speed of sound in the air, together with multiple reflections caused by the environment; consequently, long ... See full document

... The signal transform is defined as converting the sig- nal from one domain (normally time domain) to another domain, with the purpose of extracting the characteristic information embedded within the time series ... See full document

... main processing operation for received data is the re- jection of the interference spectral components at extrac- tion the signals from the moving targets on the clutter background, which is caused by undesirable ... See full document

... vehicle acoustic signal has been ...classification algorithms are applied on the train data and then the test data is taken and results are ...classification algorithms (KNN, Decision tree, ... See full document

... Envelope Analysis and Data-Driven Ap­ proaches to Acoustic Feature Extraction for Predicting the Remaining Useful Life of Rotating Machinery, Proceedings of the IEEE International Confer[r] ... See full document