Heterogeneous network computing allows the development of a single complex application using a distributed network of machines; these machines may diier in terms of CPU and memory capacity and/or architecture and specialized functions. The design of eecient applications targeted to this class of systems is a complex task requiring the evaluation of diierent performance tradeoos. In this paper w...

We present a novel method for blind separation of instruments in polyphonic music based on a non-negative matrix factor 2-D deconvolution algorithm. Using a model which is convolutive in both time and frequency we factorize a spectrogram representation of music into components corresponding to individual instruments. Based on this factorization we separate the instruments using spectrogram mask...

Topics in speech and hearing are well-suited to demonstrations using media other than the printed word. Currently, educators rely largely on passive formats such as the CD collections for general auditory psychophysics [6], auditory scene analysis [2] and cochlear damage [10]. Progress in programming tools and cheap, multimedia hardware now presents the potential to go much further. The interac...

Computational auditory scene analysis – modeling the human ability to organize sound mixtures according to their sources – has experienced a rapid evolution as the simple principles suggested by psychological experiments have turned out to be less than the whole story. Phenomena such as the continuity illusion and phonemic restoration show that the brain is able to use a wide range of knowledge...

A public information system with an Embodied Conversational Agent is evaluated in a laboratory setting concerning Social Actorship, Social Acceptance, perceived Control, Pragmatic Quality and Hedonic Qualities. Results show a positive experience for Pragmatic Quality and Control, but negative ratings for Social Acceptance. Differentiating these various aspects of User Experience has proven to b...

Robustness is one of the most important topics for automatic speech recognition (ASR) in practical applications. Monaural speech separation based on computational auditory scene analysis (CASA) offers a solution to this problem. In this paper, a novel system is presented to separate the monaural speech of two talkers. Gaussian mixture models (GMMs) and vector quantizers (VQs) are used to learn ...

The lateral distribution of Cerenkov light at ground level records important information on the development of the air shower which produces it. We have constructed a Broad Lateral Non-imaging Cerenkov Array (BLANCA) to measure this lateral distribution at the CASA-MIA air shower detector in Dugway, Utah. Together, the arrays can sample the lateral distributions of electrons, muons, and Cerenko...

A conventional automatic speech recognizer does not perform well in the presence of multiple sound sources, while human listeners are able to segregate and recognize a signal of interest through auditory scene analysis. We present a computational auditory scene analysis system for separating and recognizing target speech in the presence of competing speech or noise. We estimate, in two stages, ...

1 Special Lab Non-Invasive Brain Imaging, Leibniz Institute for Neurobiology, Magdeburg, Germany 2 Cognition Institute, University of Plymouth, Plymouth, UK 3 School of Psychology, University of Plymouth, Plymouth, UK 4 Department of Neuroscience, Albert Einstein College of Medicine of Yeshiva University, Bronx, NY, USA 5 Department of Otorhinolaryngology-Head and Neck Surgery, Albert Einstein ...

This paper proposes a new Computational Auditory Scene Analysis (CASA) approach based on a 2D spectro-temporal analysis and harmonic separation. The 2D processing, socalled Grating Compression Transform (GCT), analyzes the spectro-temporal content of the spectrogram, mimicking the processing of the primary auditory cortex. The estimated pitches from the GCT analysis are used for separation usin...