Speech is one of the vital signals of acoustic classification. Speech recognition is also significant and very well known of audio processing. Speech contains very important frequency information of human being. The features of Audio, especially speech signal may be extracted using FFT (Fast Fourier Transform) and Wavelet to detect the frequency information of the signal. But it is difficult to...

The simulation of an auditory environment is audio signal processing depending on an acoustical model method and a given scene model. For signal processing we use a set of signal processing objects which can be glued to a signal processing network. The object structure depends on the requested acoustic model method in consideration of real-time aspects of an interactive virtual reality (VR). Th...

Rhythmic Rendering is a compositional approach to organizing sound through the integration of rhythmic matrices and selected audio signal processing routines. In this scheme, signal processing becomes integral to the structure of a musical composition, rather than "sweetening" added globally at the terminal point of an audio chain, as in commercial synthesizers.

In this article echo state networks, a special form of recurrent neural networks, are discussed in the area of nonlinear audio signal processing. Echo state networks are a novel approach in recurrent neural networks with a very easy (linear) training algorithm. Signal processing examples in nonlinear system identification (valve distortion, clipping), inverse modeling (quality enhancement) and ...

In this paper we propose a real-time signal processing framework for musical audio that 1) aligns the audio with an existing music score or creates a musical score by automated music transcription algorithms; and 2) obtains the expressive feature descriptors of music performance by comparing the score with the audio. Real-time audio segmentation algorithms are implemented to identify the onset ...

Aiming for high-level intentional control of audio feedback, though microphones, loudspeakers and digital signal processing, we present a system adapting toward chosen sonic features. Users control the system by selecting and changing feature objectives in real-time. The system has a second-order structure in which the internal signal processing algorithms are developed according to an evolutio...

This paper describes the design and development of new graphical software for spectral audio processing. There are three phases to accomplish the audio processing. First, spectrograms are generated from an input audio signal using Short-Time Fourier Transform (STFT) analysis, and the sonogram image is continually shifting from right to left. Secondly, the sonogram is transformed by placing prep...