Detection and restoration of click degraded audio based on high-order sparse linear prediction

Clicks are short-duration defects that affect most archived audio media. Linear prediction (LP) modeling for the representation and restoration of audio signals that have been corrupted by click degradation has been extensively studied. The use of high-order sparse linear prediction for the restoration of clickdegraded audio given the time location of samples affected by click degradation has been shown to lead to significant restoration improvement over conventional LP-based approaches. For the practical usage of such methods, the identification of the time location of samples affected by click degradation is critical. High-order sparse linear prediction has been shown to lead to better modeling of audio resulting in better restoration of click degraded archived audio. In this paper, the use of high-order sparse linear prediction for the detection and restoration of click degraded audio is proposed. Results in terms of click duration estimation, SNR improvement and perceptual audio quality show that the proposed approach based on high-order sparse linear prediction leads to better performance compared to state of the art LP-based approaches.&nbsp

Multimicrophone Speech Dereverberation: Experimental Validation

Dereverberation is required in various speech processing applications such as handsfree telephony and voice-controlled systems, especially when signals are applied that are recorded in a moderately or highly reverberant environment. In this paper, we compare a number of classical and more recently developed multimicrophone dereverberation algorithms, and validate the different algorithmic settings by means of two performance indices and a speech recognition system. It is found that some of the classical solutions obtain a moderate signal enhancement. More advanced subspace-based dereverberation techniques, on the other hand, fail to enhance the signals despite their high-computational load

Analyse van de zangstem: geluiden in beeld

status: publishe

Multimicrophone Speech Dereverberation: Experimental Validation

Dereverberation is required in various speech processing applications such as handsfree telephony and voice-controlled systems, especially when signals are applied that are recorded in a moderately or highly reverberant environment. In this paper, we compare a number of classical and more recently developed multimicrophone dereverberation algorithms, and validate the different algorithmic settings by means of two performance indices and a speech recognition system. It is found that some of the classical solutions obtain a moderate signal enhancement. More advanced subspace-based dereverberation techniques, on the other hand, fail to enhance the signals despite their high-computational load.</p

Analyse van de zangstem: geluiden in beeld

status: publishe

Real-Time Implementation of an Acoustic Echo Canceller on DSP

Acoustic echo cancellation is an essential signal enhancement tool for teleconferencing applications such as hands-free telephony, tele-classing and video-conferencing. However, loudspeaker signals are picked up by a microphone and are fed back to the correspondent, resulting in an undesired echo. Nowadays, adaptive filtering techniques are typically employed to suppress this echo. In acoustic applications long filters need to be adapted for sufficient echo suppression. Classical adaptation schemes such as LMS are too expensive to do an accurate echo path modelling in highly reverberating environments. Cheaper algorithms were proposed and are mainly based on subband and frequency-domain techniques. However, due to nonlinearities and the time-dependence of the echo path some residual echo will always remain. Apart from the adaptive filter also some postprocessing and a steering algorithm have to be included to remove the residuals and to ensure proper operation during double-talk. By mo..