Auditory scene analysis is critical for complex auditory processing. We study auditory segregation from the neural network perspective, and develop a framework for primitive auditory scene analysis. The architecture is a laterally coupled two-dimensional network of relaxation oscillators with a global inhibitor. One dimension represents time and another one represents frequency. We show that th...

What is the computational goal of auditory scene analysis? This is a key issue to address in the Marrian information-processing framework. It is also an important question for researchers in computational auditory scene analysis (CASA) because it bears directly on how a CASA system should be evaluated. In this chapter I discuss different objectives used in CASA. I suggest as a main CASA goal th...

Abstract A better understanding of auditory scene analysis requires uncovering the brain processes that govern the segregation of sound patterns into perceptual streams. Existing models of auditory streaming emphasize tonotopic or “spatial” separation of neural responses as the primary determinant of stream segregation. While partially true, this theory is far from complete. It overlooks the in...

The human auditory system has an unparalleled ability to solve what is known as the cocktail problem: the task of perceptually separating superimposed acoustic sources in a noisy environment. Information about the auditory system can inform our choices of representation and computation. Recent progress has been made from several diier-ent approaches to the acoustic source separation problem. Co...

A multistage neural model is proposed for an auditory scene analysis task--segregating speech from interfering sound sources. The core of the model is a two-layer oscillator network that performs stream segregation on the basis of oscillatory correlation. In the oscillatory correlation framework, a stream is represented by a population of synchronized relaxation oscillators, each of which corre...

Acoustic signals from different sources in a natural environment form an auditory scene. Auditory scene analysis (ASA) is the process in which the auditory system segregates an auditory scene into streams corresponding to different sources. Segmentation is an important stage of ASA where an auditory scene is decomposed into segments, each of which contains signal mainly from one source. We prop...

  Background :Older adults with cerebrovascular accident (CVA) show evidence of auditory and speech perception problems. In present study, it was examined whether these problems are due to impairments of concurrent auditory segregation procedure which is the basic level of auditory scene analysis and auditory organization in auditory scenes with competing sounds.   Methods : Concurrent auditory...

Echolocating bats transmit ultrasonic vocalizations and use information contained in the reflected sounds to analyze the auditory scene. Auditory scene analysis, a phenomenon that applies broadly to all hearing vertebrates, involves the grouping and segregation of sounds to perceptually organize information about auditory objects. The perceptual organization of sound is influenced by the spectr...

Computational Music Audio Scene Analysis

Monitoring of precipitation using higher frequency radar systems such as X-band is becoming popular. At X-band frequency, weather radar signals are attenuated along their paths due to precipitation. A network-based reflectivity retrieval technique has been developed for the Adaptive Sensing of the Atmosphere (CASA) system, which is a radar network that can observe a weather event simultaneously...