Speech dereverberation based on a recorded handclap

A method to enhance the use of interaural time differences for cochlear implants in reverberant environments

“…The assumption is that humans exploit ITD and ILD cues only in highly coherent parts of the signal. Coherence has also been used in recent techniques for estimating the BRIR (e.g., Jeub et al , 2011; Tsilfidis et al , 2011; Tsilfidis and Mourjopoulos, 2012), and Cosentino et al (2012) used coherence to estimate when the DRR of a reverberant signal was high. Similarly, kurtosis has been shown to decrease with increasing reverberation (Wu and Wang, 2006), and a kurtosis-like feature was employed by Hazrati et al (2013) to generate an estimated binary mask algorithm that improved monaural understanding of speech in reverberation by CI listeners.…”

Signal processing methods for enhancing speech and music signals in reverberant environments

“…Low Signal to Reverberation Ratio (SRR) signal regions are identified and the suppression is dynamically constrained in order to prevent overestimation errors. [101,194,195,196,197] • The above technique has been extended in a semi-blind framework. It has been shown that a recorded handclap can be used in order to extract an approximation of the Power Spectral Density of late reverberation.…”

“…The method achieves sufficient robustness with respect to different source/receiver arrangements within the room and the results showed significant speech enhancement independent of the reference room. [101,194] 1. INTRODUCTION Hence, the above work led to the following publications: [101,194,197] The development of binaural dereverberation algorithms is important in the context of digital hearing aids, binaural telephony and immersive telecommunications.…”

“…[101,194] 1. INTRODUCTION Hence, the above work led to the following publications: [101,194,197] The development of binaural dereverberation algorithms is important in the context of digital hearing aids, binaural telephony and immersive telecommunications. In Chapter 6 binaural extensions and performance evaluation of dereverberation methods are presented:…”

“…[197] • A semi-blind approach of the above dereverberation method is presented based on a recorded handclap achieving sufficient robustness with respect to different source/receiver arrangements within the room. [101,194] • A novel method compensating for overestimation errors is presented where the suppression rate is dynamically constrained based on a Gain Magnitude Regularization (GMR) scheme. [101,194,195,196,197]…”