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TRINICON for Dereverberation of Speech and Audio Signals ...
https://www.researchgate.net/publication/226992110_TRINICON_for_Dereverberation_of_Speech_and_Audio_Signals#:~:text=Blind%20methods%20for%20dereverberation%20aim%20at%20inverting%20or,for%20implementations%20of%20this%20approach%20are%20%5BBK10%3B%20GA03%5D.
Blind Dereverberation of Audio Signals - Columbia University
https://www.ee.columbia.edu/~grindlay/classes/E4810/dereverb/report_final.pdf
Blind Dereverberation of Audio Signals E4810 Final Project Graham Grindlay [email protected] December 27, 2008 Abstract This project examines the problem of single channel blind dereverber-ation. After estimating the T60 value, a time-domain binary masking approach was used to remove regions of the signal that were largely domi-
AES E-Library » Blind Dereverberation of Audio Signals ...
https://www.aes.org/e-lib/online/browse.cfm?elib=13808
The single-channel blind dereverberation approach we present in this paper is an extension to the one based on Constant Modulus Algorithm (CMA) we proposed in previous work. By substituting the Modified CMA algorithm for the original CMA algorithm, we demonstrate a more suitable approach for blind deconvolution of reverberant audio signals with super-Gaussian distribution.
CiteSeerX — Blind Dereverberation of Audio Signals …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.553.9480
blind dereverberation audio signal e4810 final project binary mask single channel several different class hand clapping audio output clean reference signal t60 value subjective evaluation mask accuracy result sparse signal reverberant energy ideal binary mask time-domain binary masking approach
TRINICON for Dereverberation of Speech and Audio Signals ...
https://link.springer.com/chapter/10.1007/978-1-84996-056-4_10
Abstract. In this chapter, we develop an analytical top-down approach to the problem of blind dereverberation of speech and audio signals based on TRINICON (TRIple-N Independent component analysis for CONvolutive mixtures), a general framework for broadband adaptive Multi-Input Multi-Output (MIMO) signal processing.
Blind dereverberation algorithm for speech signals based ...
https://www.researchgate.net/publication/228669742_Blind_dereverberation_algorithm_for_speech_signals_based_on_multi-channel_linear_prediction
In more precise terms, unsupervised or blind audio de-reverberation is the problem of removing reverberation from an audio signal without having explicit data …
TRINICON for Dereverberation of Speech and Audio …
https://www.researchgate.net/publication/226992110_TRINICON_for_Dereverberation_of_Speech_and_Audio_Signals
Blind methods for dereverberation aim at inverting or shortening the channel without prior estimation of the RIR, and are based on the assumption …
(PDF) A Speech Dereverberation Method Using Adaptive ...
https://www.academia.edu/70298029/A_Speech_Dereverberation_Method_Using_Adaptive_Sparse_Dictionary_Learning
The acoustic wave expands radial, reaching walls and other surfaces We present a monaural blind de-reverberation method based where energy is both absorbed and reflected.
Dereverberation - Wikipedia
https://en.wikipedia.org/wiki/Dereverberation
Dereverberation is a subtopic of acoustic digital signal processing and is most commonly applied to speech but also has relevance in some aspects of music processing. Dereverberation of audio (speech or music) is a corresponding function to blind deconvolution of images, although the techniques used are usually very different.
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