Audio Signal Processing
نویسنده
چکیده
منابع مشابه
A New Algorithm for Voice Activity Detection Based on Wavelet Packets (RESEARCH NOTE)
Speech constitutes much of the communicated information; most other perceived audio signals do not carry nearly as much information. Indeed, much of the non-speech signals maybe classified as ‘noise’ in human communication. The process of separating conversational speech and noise is termed voice activity detection (VAD). This paper describes a new approach to VAD which is based on the Wavelet ...
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Direction-of-arrival (DOA) estimation of audio signals is critical in different areas, including electronic war, sonar, etc. The beamforming methods like Minimum Variance Distortionless Response (MVDR), Delay-and-Sum (DAS), and subspace-based Multiple Signal Classification (MUSIC) are the most known DOA estimation techniques. The mentioned methods have high computational complexity. Hence using...
متن کاملUsing Parallel Signal Processing in Real-Time Audio Matrix Systems
The paper deals with design and performance analysis of algorithms that utilize parallel signal-processing methods and SIMD technology for multiply-and-add algorithm for digital audio signal processing. This algorithm is used for summing the gained input signals on output buses in applications for distributing, mixing, effect-processing, and switching multi-format digital audio signal in an aud...
متن کاملA Modular Real-time Pc-based Audio Processing Tool for Effect Developers, Engineers, Musicians, and Educators
A modular real-time PC-based audio processing software tool has been developed which offers a high degree of user control, intended for use by audio effect developers, signal processing engineers, sound designers, musicians, and educators. The key technical features are described, followed by a range of example applications in the field of signal processing and audio effect design.
متن کاملEcho State Networks in Audio Processing
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 ...
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تاریخ انتشار 2008