{"id":156162,"date":"2007-03-01T00:00:00","date_gmt":"2007-03-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/lossless-and-near-lossless-audio-compression-using-integer-reversible-modulated-lapped-transforms\/"},"modified":"2018-10-16T20:16:13","modified_gmt":"2018-10-17T03:16:13","slug":"lossless-and-near-lossless-audio-compression-using-integer-reversible-modulated-lapped-transforms","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/lossless-and-near-lossless-audio-compression-using-integer-reversible-modulated-lapped-transforms\/","title":{"rendered":"Lossless and Near-Lossless Audio Compression Using Integer-Reversible Modulated Lapped Transforms"},"content":{"rendered":"<div class=\"asset-content\">\n<p>We present a simple lossless audio codec, composed of an integer-reversible modulated lapped transform (MLT) followed by a backward-adaptive run-length\/Golomb-Rice (RLGR) encoder. Its compression performance matches those of state-of-the-art predictive codecs, and it has the advantage that its compressed bitstream contains frequency-domain data that can be used for applications such as search, identification, and visualization. Its compression gain can be improved through a novel data model based on cross-block smoothed spectral magnitude estimates. Its bitstream can be transcoded into a lossy format, for transfers to portable players, at about twice the speed of other codecs. The codec also supports a near-lossless mode, which allows for an extra factor of two in compression without noticeable distortions.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present a simple lossless audio codec, composed of an integer-reversible modulated lapped transform (MLT) followed by a backward-adaptive run-length\/Golomb-Rice (RLGR) encoder. Its compression performance matches those of state-of-the-art predictive codecs, and it has the advantage that its compressed bitstream contains frequency-domain data that can be used for applications such as search, identification, and visualization. [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"malvar"}],"msr_publishername":"Institute of Electrical and Electronics Engineers, Inc.","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"Data Compresison Conference","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"\u00a9 2007 IEEE. Personal use of this material is permitted. However, permission to reprint\/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.","msr_conference_name":"Data Compresison Conference","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"H. S. 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