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144
MIME (Multipurpose Internet Mail Extensions) Part One: Mechanisms for Specifying and Describing the Format of Internet Message Bodies
- 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
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Cited by 403 (19 self)
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, 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
Audio-Visual Speech Fragment Decoding
, 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
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Cited by 1 (0 self)
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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
, 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 ..."
Abstract
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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
, 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
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Cited by 3 (0 self)
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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,”
- 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
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Cited by 82 (1 self)
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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
- 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
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Cited by 3 (0 self)
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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
, 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
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Cited by 17 (1 self)
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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
"... 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
"... 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
Results 1 - 10
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144