The real time use of signal processing for brass instrument performance ~specifically the trombone! provides an opportunity, as well as challenges, to create a type of hyper-instrument quite unlike most conceptions of the term. These include the expansion of the available sound palette, the problem of real time parameter control, microphone techniques, and repertoire considerations. The various...

In this paper, the Acoustic Echo Cancellation (AEC) are investigated by using Finite Impulse Responses Adaptive Filter with the analysis of Mean Square Error (MSE) and its convergence property. It is the result of a project in the course Fundamental of Signal Processing at Chongqing University of Posts and Telecommunications. It focuses on Normalized Least Mean Square (NLMS) algorithm of adapti...

A cochlear model has been developed [1,2] which can model aspects of auditory impairment, including changes in the auditory threshold and filter bandwidth. This model is used to simulate the cochlear response to tones and speech in normal and impaired ears. The model illustrates some of the difficulties that can be encountered in developing signal processing for hearing aids. The model results ...

Automatic detection of phoneme boundaries is an important sub-task in building speech processing applications, especially text-to-speech synthesis (TTS) systems. The main drawback of the Gaussian mixture model hidden Markov model (GMMHMM) based forced-alignment is that the phoneme boundaries are not explicitly modeled. In an earlier work, we had proposed the use of signal processing cues in tan...

This paper presents DIANA, a new computational model of human speech processing. It is the first model that simulates the complete processing chain from the on-line processing of an acoustic signal to the execution of a response, including reaction times. Moreover it assumes minimal modularity. DIANA consists of three components. The activation component computes a probabilistic match between t...

For complex perceptual tasks that are characterized by object occlusion and non stationarity recognition systems with adaptive signal processing front ends have been developed These systems rely on hand crafted symbolic object models which constitutes a knowledge acquisition bottleneck We propose an approach to automate object model acquisition that relies on the detection of signal processing ...

The acoustic wave received at the ears is processed by the human auditory system to separate different sounds along the intensity, pitch, and timbre dimensions. Conventional Fourier-based signal processing, while endowed with fast algorithms, is unable to easily represent a signal along these attributes. In this paper, we discuss the creation of maximally separable sounds in auditory user inter...