نتایج جستجو برای: audio signal processing

تعداد نتایج: 866730  

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...

2007
Mike Wozniewski Zack Settel Jeremy R. Cooperstock

We present a Pure Data library for managing 3-D sound and accomplishing signal processing using spatial relations. The framework is intended to support applications in the areas of immersive audio, virtual/augmented reality systems, audiovisual performance, multimodal sound installations, acoustic simulation, 3-D audio mixing, and many more.

1999
Adrian Freed

Although the AES/EBU digital audio standard has already been adapted to optical, twisted pair [1] and coaxial cables [2]. This paper explores cabling options for new and emerging applications of digital audio communications. Enabling features include remotely powering devices over the audio cable and bi-directional communications. Remote power benefits both ends of the audio reproduction chain:...

Journal: :EURASIP J. Adv. Sig. Proc. 2007
Hervé Bredin Gérard Chollet

Speech is a means of communication which is intrinsically bimodal: the audio signal originates from the dynamics of the articulators. This paper reviews recent works in the field of audiovisual speech, and more specifically techniques developed to measure the level of correspondence between audio and visual speech. It overviews the most common audio and visual speech front-end processing, trans...

2006
H. Bredin G. Chollet

Speech is a means of communication that is intrinsically bimodal: the audio signal originates from the dynamics of the articulators. This paper reviews recent works in the field of audiovisual speech and more specifically on techniques developed to measure the level of correspondence between audio and visual speech. It overviews the most common audio and visual speech front-end processing, tran...

2010
Robert A. Hicks

Audio Feature Extraction and Pattern Recognition Introduction Extracting, recognizing, and categorizing features of audio signals (such as genre, tempo, timbre, or mood) are processes that humans perform almost subconsciously. However, audio feature recognition and categorization is largely experience-based. Therefore, the digital implementation of these processes has been largely subjective, b...

2007
H. Bredin G. Chollet

Speech is a means of communication that is intrinsically bimodal: the audio signal originates from the dynamics of the articulators. This paper reviews recent works in the field of audiovisual speech and more specifically on techniques developed to measure the level of correspondence between audio and visual speech. It overviews the most common audio and visual speech front-end processing, tran...

2002
Bastiaan Kleijn

consisted of seven Ph.D. students (five of whom were located at the department), a part-time (20%) researcher (forskarassistent), two guest researchers, and a professor. The group performs research encompassed within speech processing, signal processing, and source coding and teaches two undergraduate courses (Information Theory and Source Coding, and Digital Speech Signal Processing), in addit...

2004
Mutsumi Saito Manabu Kubota

For researchers and engineers working on speech or audio signal processing, to implement and evaluate processing algorithms on specific devices such as DSP or FPGA is necessary for realizing real time signal processing applications. Furthermore, evaluation of algorithms in real world environment is very important. However, conventional evaluation boards are not portable or quality of sound inte...

2017
Norbert Schnell Diemo Schwarz Joseph Larralde Riccardo Borghesi

We present PiPo, a plugin API for data stream processing with applications in interactive audio processing and music information retrieval as well as potentially other domains of signal processing. The development of the API has been motivated by our recurrent need to use a set of signal processing modules that extract low-level descriptors from audio and motion data streams in the context of d...

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