Erik M. Visser

Learn More
A new speech enhancement scheme is presented integrating spatial and temporal signal processing methods for robust speech recognition in noisy environments. The scheme first separates spatially localized point sources from noisy speech signals recorded by two microphones. Blind source separation algorithms assuming no a priori knowledge about the sources(More)
A speech enhancement scheme is presented integrating spatial and temporal signal processing methods for blind denoising in non stationary noise environments. In a first stage, spatially localized interferring point sources are separated from noisy speech signals recorded by two microphones using a Blind Source Separation (BSS) algorithm assuming no a priori(More)
A new speech enhancement scheme is presented integrating spatial and temporal signal processing methods for robust speech recognition in noisy environments. The scheme first separates spatially localized point sources from noisy speech signals recorded by two microphones. Blind source separation algorithms assuming no a priori knowledge about the sources(More)
Real and imagined overweight and obesity, and resulting weight-reduction efforts, are associated with the development of a variety of health problems and eating disorders. For many years, research and practice in the field of weight management have been based largely on a unidimensional, simplistic, weight-loss paradigm. The long-term success rate for(More)
BACKGROUND Behavioural problems are frequently reported in residential care for people with an intellectual disability (ID) in particular when they are additionally diagnosed with autism spectrum disorder (ASD). There are indications that impairment in cognitive shifting may be associated with problem behaviour. The objectives of this study were (1) to(More)
A new front-end processing scheme for robust speech recognition is proposed and evaluated on the multi-lingual Aurora 3 database. The front-end processing scheme consists of Mel-scaled spectral subtraction, speech segmentation, cepstral coefficient extraction, utterance-level frame dropping and eigenspace feature normalization. We also investigated(More)
A speech enhancement scheme including blind source separation and background denoising based on minimum statistics is studied in mobile environments. To accommodate the dependence of the separated output signals on the spatial properties of the recorded source signals, these blind signal processing steps are complemented by an adaptive separated output(More)
A number of real-life speech applications using BSS have been reported for two channel applications but only a few have been reported for multi-channel (more than 2 channels) applications. Moreover these mostly involve simulation studies or real-life separations in controlled settings. In this paper some practical problems of multichannel applications will(More)