AMR Compressed-Domain Analysis for Multimedia Forensics Double Compression Detection

<p class="TtuloX">An audio recording must be authentic to be admitted as evidence in a criminal prosecution so that the speech is saved with maximum fidelity and interpretation mistakes are prevented. AMR (adaptive multi-rate) encoder is a worldwide standard for speech compression an...

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Autor principal:	José Fabrizio Pereira Sampaio
Formato:	article
Lenguaje:	EN ES FR IT PT
Publicado:	Academia Nacional de Polícia 2019
Materias:	perícias multimídia forense autenticidade de áudio. Social pathology. Social and public welfare. Criminology HV1-9960
Acceso en línea:	https://doaj.org/article/02796a622576460a8c69738ce082c9a3
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id	oai:doaj.org-article:02796a622576460a8c69738ce082c9a3
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spelling	oai:doaj.org-article:02796a622576460a8c69738ce082c9a32021-12-02T17:49:38ZAMR Compressed-Domain Analysis for Multimedia Forensics Double Compression Detection2178-00132318-691710.31412/rbcp.v9i2.534https://doaj.org/article/02796a622576460a8c69738ce082c9a32019-06-01T00:00:00Zhttps://periodicos.pf.gov.br/index.php/RBCP/article/view/534https://doaj.org/toc/2178-0013https://doaj.org/toc/2318-6917<p class="TtuloX">An audio recording must be authentic to be admitted as evidence in a criminal prosecution so that the speech is saved with maximum fidelity and interpretation mistakes are prevented. AMR (adaptive multi-rate) encoder is a worldwide standard for speech compression and for GSM mobile network transmission, including 3G and 4G. In addition, such encoder is an audio file format standard with extension AMR which uses the same compression algorithm. Due to its extensive usage in mobile networks and high availability in modern smartphones, AMR format has been found in audio authenticity cases for forgery searching. Such exams compound the multimedia forensics field which consists of, among other techniques, double compression detection, i. e., to determine if a given AMR file was decompressed and compressed again. AMR double compression detection is a complex engineering problem whose solution is still underway. In general terms, if an AMR file is double compressed, it is not an original one and it was likely doctored. The published works in literature about double compression detection are based on decoded waveform AMR files to extract features. In this paper, a new approach is proposed to AMR double compression detection which, in spite of processing decoded audio, uses its encoded version to extract compressed-domain linear prediction (LP) coefficient-based features. By means of feature statistical analysis, it is possible to show that they can be used to achieve AMR double compression detection in an effective way, so that they can be considered a promising path to solve AMR double compression problem by artificial neural networks.</p>José Fabrizio Pereira SampaioAcademia Nacional de Políciaarticleperíciasmultimídia forenseautenticidade de áudio.Social pathology. Social and public welfare. CriminologyHV1-9960ENESFRITPTRevista Brasileira de Ciências Policiais, Vol 9, Iss 2, Pp 43-70 (2019)
institution	DOAJ
collection	DOAJ
language	EN ES FR IT PT
topic	perícias multimídia forense autenticidade de áudio. Social pathology. Social and public welfare. Criminology HV1-9960
spellingShingle	perícias multimídia forense autenticidade de áudio. Social pathology. Social and public welfare. Criminology HV1-9960 José Fabrizio Pereira Sampaio AMR Compressed-Domain Analysis for Multimedia Forensics Double Compression Detection
description	<p class="TtuloX">An audio recording must be authentic to be admitted as evidence in a criminal prosecution so that the speech is saved with maximum fidelity and interpretation mistakes are prevented. AMR (adaptive multi-rate) encoder is a worldwide standard for speech compression and for GSM mobile network transmission, including 3G and 4G. In addition, such encoder is an audio file format standard with extension AMR which uses the same compression algorithm. Due to its extensive usage in mobile networks and high availability in modern smartphones, AMR format has been found in audio authenticity cases for forgery searching. Such exams compound the multimedia forensics field which consists of, among other techniques, double compression detection, i. e., to determine if a given AMR file was decompressed and compressed again. AMR double compression detection is a complex engineering problem whose solution is still underway. In general terms, if an AMR file is double compressed, it is not an original one and it was likely doctored. The published works in literature about double compression detection are based on decoded waveform AMR files to extract features. In this paper, a new approach is proposed to AMR double compression detection which, in spite of processing decoded audio, uses its encoded version to extract compressed-domain linear prediction (LP) coefficient-based features. By means of feature statistical analysis, it is possible to show that they can be used to achieve AMR double compression detection in an effective way, so that they can be considered a promising path to solve AMR double compression problem by artificial neural networks.</p>
format	article
author	José Fabrizio Pereira Sampaio
author_facet	José Fabrizio Pereira Sampaio
author_sort	José Fabrizio Pereira Sampaio
title	AMR Compressed-Domain Analysis for Multimedia Forensics Double Compression Detection
title_short	AMR Compressed-Domain Analysis for Multimedia Forensics Double Compression Detection
title_full	AMR Compressed-Domain Analysis for Multimedia Forensics Double Compression Detection
title_fullStr	AMR Compressed-Domain Analysis for Multimedia Forensics Double Compression Detection
title_full_unstemmed	AMR Compressed-Domain Analysis for Multimedia Forensics Double Compression Detection
title_sort	amr compressed-domain analysis for multimedia forensics double compression detection
publisher	Academia Nacional de Polícia
publishDate	2019
url	https://doaj.org/article/02796a622576460a8c69738ce082c9a3
work_keys_str_mv	AT josefabriziopereirasampaio amrcompresseddomainanalysisformultimediaforensicsdoublecompressiondetection
_version_	1718379387741536256

AMR Compressed-Domain Analysis for Multimedia Forensics Double Compression Detection

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