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MIME (Multipurpose Internet Mail Extensions) Part One: Mechanisms for Specifying and Describing the Format of Internet Message Bodies

by N. Borenstein, N. Freed - RFC 1521, BELLCORE, INNOSOFT , 1993
"... RFC 822 defines a message representation protocol which specifies considerable detail about message headers, but which leaves the message content, or message body, as flat ASCII text. This document redefines the format of message bodies to allow multi-part textual and non-textual message bodies to b ..."
Abstract - Cited by 403 (19 self) - Add to MetaCart
, this document is designed to provide facilities to include multiple objects in a single message, to represent body text in character sets other than US-ASCII, to represent formatted multi-font text messages, to represent non-textual material such as images and audio fragments, and generally to facilitate later

in audio segmentation

by Samer Abdallah Mark S, Christophe Rhodes , 2006
"... Using duration models to reduce fragmentation ..."
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Using duration models to reduce fragmentation

Audio-Visual Speech Fragment Decoding

by Jon Barker, Xu Shao , 2007
"... This paper presents a robust speech recognition technique called audio-visual speech fragment decoding (AV-SFD), in which the visual signal is exploited both as a cue for source separation and as a carrier of phonetic information. The model builds on the existing audio-only SFD technique which, base ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
This paper presents a robust speech recognition technique called audio-visual speech fragment decoding (AV-SFD), in which the visual signal is exploited both as a cue for source separation and as a carrier of phonetic information. The model builds on the existing audio-only SFD technique which

Museum Audio Guides Which Adapt

by To The User, Istituto Trentino Di Cultura , 2000
"... This paper presents three systems which the author has worked on, all of which take different approach to this task: ILEX (full text generation, mapping databaserepresented information onto semantic and syntactic structures, generating audio via speech synthesis), HIPS (template-based generatio ..."
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-based generation, assembling audio fragments), and MPIRO (a new project, which integrates the above two approaches). The advantages and disadvantages of the approaches will be compared

A Ranking Technique for Fast Audio Identification

by Frank Kurth , 2002
"... We introduce a novel ranking technique for fast and robust audio identification. In this approach, identification is performed by evaluating certain parts of correlation sequences. Starting from a general framework for content-based audio identification, we show how to integrate our new algorithm in ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
into a fast index-based search algorithm. We demonstrate the capabilities of our approach by considering the tasks of identifying highly distorted audio material and search of audio fragments in large scale MP3 data bases.

Robust audio watermarking using perceptual masking,”

by Mitchell D Swanson , Bin Zhu , Ahmed H Tewfik , Laurence Boney - Signal Process., , 1998
"... Abstract We present a watermarking procedure to embed copyright protection into digital audio by directly modifying the audio samples. Our audio-dependent watermarking procedure directly exploits temporal and frequency perceptual masking to guarantee that the embedded watermark is inaudible and rob ..."
Abstract - Cited by 82 (1 self) - Add to MetaCart
1 6 5 -1 6 8 4 ( 9 8 ) 0 0 0 1 4 -0 directement les masquages perceptuels temporel et fre´quentiel pour garantir que le filigrane nume´rique (watermark) est inaudible et robuste. Le watermark est construit en fragmentant chaque morceau audio en segments plus petits et en ajoutant une se

Audio Melody Extraction Based on Timbral Similarity of Melodic Fragments

by Matija Marolt - in Proceedings Eurocon 2005 , 2005
"... The extended abstract presents our approach to extraction of melody from audio recordings, based on timbral similarity of melodic fragments. The algorithm was submitted to MIREX 2005 competition and scored 5 th among 9 submissions, with an average score of 59.18% correctly transcribed voiced and unv ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
The extended abstract presents our approach to extraction of melody from audio recordings, based on timbral similarity of melodic fragments. The algorithm was submitted to MIREX 2005 competition and scored 5 th among 9 submissions, with an average score of 59.18% correctly transcribed voiced

On Finding Melodic Lines in Audio Recordings

by Matija Marolt , 2004
"... The paper presents our approach to the problem of finding melodic line(s) in polyphonic audio recordings. The approach is composed of two different stages, partially rooted in psychoacoustic theories of music perception: the first stage is dedicated to finding regions with strong and stable pitch (m ..."
Abstract - Cited by 17 (1 self) - Add to MetaCart
The paper presents our approach to the problem of finding melodic line(s) in polyphonic audio recordings. The approach is composed of two different stages, partially rooted in psychoacoustic theories of music perception: the first stage is dedicated to finding regions with strong and stable pitch

Audio Melody Extraction Based on Timbral Similarity of Melodic Fragments

by unknown authors
"... Abstract — The presented study deals with extraction of melodic line(s) from polyphonic audio recordings. Our approach is based on finding significant melodic fragments throughout the analyzed piece of music and clustering these fragments according to their timbral similarity. Fragments within clust ..."
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Abstract — The presented study deals with extraction of melodic line(s) from polyphonic audio recordings. Our approach is based on finding significant melodic fragments throughout the analyzed piece of music and clustering these fragments according to their timbral similarity. Fragments within

The Fragmented Orchestra

by Daniel Jones, John Matthias, Tim Hodgson, Nicholas Outram, Jane Grant, Nick Ryan
"... The Fragmented Orchestra is a distributed musical instrument which combines live audio streams from geographically disparate sites, and granulates each according to the spike timings of an artificial spiking neural network. This paper introduces the work, outlining its historical context, technical ..."
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The Fragmented Orchestra is a distributed musical instrument which combines live audio streams from geographically disparate sites, and granulates each according to the spike timings of an artificial spiking neural network. This paper introduces the work, outlining its historical context, technical
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