Studies of auditory scene analysis have traditionally relied on paradigms using artificial sounds—and conventional behavioral techniques—to elucidate how we perceptually segregate auditory objects or streams from each other. In the past few decades, however, there has been growing interest in uncovering the neural underpinnings of auditory segregation using human and animal neuroscience techniq...

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...

1 INTRODUCTION In this chapter I briefly review the history and the future of computational auditory scene analysis (CASA). Auditory scene analysis describes the process we use to understand the world around us. Our two ears hear a cacophony of sounds and understand that the periodic tic-toc comes from a clock, the singing voice comes from a radio and the steady hum is coming from the refrigera...

A model of auditory scene analysis is proposed, which incorporates an attentional mechanism and is implemented using a network of neural oscillators. The core of the model is a two-layer neural oscillator network which performs stream segregation and selection on the basis of oscillatory correlation. A stream is represented by a sychronised oscillator population, whereas different streams are r...

a direct impact on the information available to its acoustic imaging system. In turn, the bat’s perception of the echo scene guides its adjustments of the features of subsequent sonar vocalizations. Therefore, the bat’s adaptive sonar behavior can shed light on the fundamental processes that underlie auditory scene analysis by echolocation. Indeed, the bat’s active sonar behavior allows us to l...

Recent studies have shown that auditory scene analysis involves distributed neural sites below, in, and beyond the auditory cortex (AC). However, it remains unclear what role each site plays and how they interact in the formation and selection of auditory percepts. We addressed this issue through perceptual multistability phenomena, namely, spontaneous perceptual switching in auditory streaming...

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, ...

Title of dissertation: NEURAL BASIS AND COMPUTATIONAL STRATEGIES FOR AUDITORY PROCESSING Mounya Elhilali, Doctor of Philosophy, 2004 Dissertation directed by: Professor Shihab A. Shamma Department of Electrical and Computer Engineering Our senses are our window to the world, and hearing is the window through which we perceive the world of sound. While seemingly effortless, the process of hearin...

Experiments were conducted to determine the extent to which a fundamental frequency or formant frequency transition influenced segregation of a simultaneous pair of single-formant harmonic complexes. Results showed that even a minute transition facilitated segregation. The effect was larger for formant frequency than fundamental frequency transitions. It is concluded that dynamic aspects of spe...