NDLI: High-quality multichannel audio over the Internet

Content Provider	IEEE Xplore Digital Library
Author	Mouchtaris, A. Zhu, Z. Kyriakakis, C.
Copyright Year	1999
Description	Author affiliation: Immersive Audio Lab., Univ. of Southern California, CA, USA (Mouchtaris, A.)
Abstract	Multichannel audio is one of the most demanding media types and a stringent test of temporal precision on the communications medium. We present a robust, scalable architecture for delivering uncompressed multichannel audio over high-bandwidth ATM networks. The proposed architecture does not impose a significant overhead to the host CPU and allows multicasting to multiple participants, as well as quality of service support. Performance results from our implementation on a high-speed local area ATM network are presented that identify the effects of audio packet size buffering and network latency on the quality of multichannel program material. Furthermore, we present a novel method for synthesizing multichannel audio channels from a set of microphone signals recorded in a particular venue. Our method uses linear prediction to generate a set of IIR filters that can be used to synthesize microphone signals at various locations within the hall, while preserving the correct acoustical characteristics of the venue. Applications of this method include transmission of multichannel audio, as well as remastering of existing monophonic and stereophonic recordings for multichannel rendering.
Starting Page	347
Ending Page	351
File Size	497145
Page Count	5
File Format	PDF
ISBN	0780357000
ISSN	10586393
DOI	10.1109/ACSSC.1999.832350
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Internet Network synthesis Signal synthesis Microphones Testing Robustness Quality of service Delay Character generation Signal generators
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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