A Study into Speech Enhancement Techniques in Adverse Environment
MetadataShow full item record
This dissertation developed speech enhancement techniques that improve the speech quality in applications such as mobile communications, teleconferencing and smart loudspeakers. For these applications it is necessary to suppress noise and reverberation. Thus the contribution in this dissertation is twofold: single channel speech enhancement system which exploits the temporal and spectral diversity of the received microphone signal for noise suppression and multi-channel speech enhancement method with the ability to employ spatial diversity to reduce reverberation.
Showing items related by title, author, creator and subject.
Kühnapfel, Thorsten (2009)For humans, hearing is the second most important sense, after sight. Therefore, acoustic information greatly contributes to observing and analysing an area of interest. For this reason combining audio and video cues for ...
Enhancement of speech recognitions for control automation using an intelligent particle swarm optimizationChan, Kit Yan; Yiu, Cedric K.F.; Dillon, Tharam S.; Nordholm, Sven; Ling, S.H. (2012)For over two decades, speech control mechanisms have been widely applied in manufacturing systems such as factory automation, warehouse automation and industrial robotic control for over two decades. To implement speech ...
A hybrid noise suppression filter for accuracy enhancement of commercial speech recognizers in varying noisy conditionsChan, Kit; Yong, Pei; Nordholm, Sven; Yiu, Ka Fai; Lam, H. (2014)Commercial speech recognizers have made possible many speech control applications such as wheelchair, tone-phone, multifunctional robotic arms and remote controls, for the disabled and paraplegic. However, they have a ...