Joint multichannel blind speech separation and dereverberation: A real-time algorithmic implementation

Rudy Rotili, Claudio De Simone, Alessandro Perelli, Simone Cifani, Stefano Squartini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)


Blind source separation (BSS) and dereverberation have been deeply investigated due to their importance in many applications, as in image and audio processing. A two-stage approach leading to a sequential source separation and speech dereverberation algorithm based on blind channel identification (BCI) has recently appeared in literature and taken here as reference. In this contribution, a real-time implementation of the aforementioned approach is presented. The optimum inverse filtering algorithm based on the Bezout’s Theorem and used in the dereverberation stage has been substituted with an iterative technique, which is computationally more efficient and allows the inversion of long impulse responses in real-time applications. The entire framework works in frequency domain and the NU-Tech software platform has been used on purpose for real-time simulations.
Original languageEnglish
Title of host publicationAdvanced intelligent computing theories and applications
Subtitle of host publication6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings
EditorsDe-Shuang Huang, Zhongming Zhao, Vitoantonio Bevilacqua, Juan Carlos Figueroa
Number of pages8
ISBN (Electronic)978-3-642-14831-6
ISBN (Print)978-3-642-14830-9
Publication statusPublished - 2010
Event6th International Conference on Intelligent Computing - Changsha, China
Duration: 18 Aug 201021 Aug 2010

Publication series

NameCommunications in Computer and Information Science


Conference6th International Conference on Intelligent Computing
Abbreviated titleICIC 2010


  • Blind Speech Separation
  • Speech dereverberation
  • Adaptive FIR filtering
  • Real-time signal processing


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