Digital audio files reliability
نویسندگان
چکیده
منابع مشابه
Digital Audio Watermarking Techniques for MP3 Audio Files
Nowadays, a vast amount of information concerning all aspects of human activity is digitised with the goal of profit. One of the most prominent examples is the music industry that now markets audio data mainly in the form of MPEG Audio Layer 3 files rather than on CDs or DVDs. The MP3 audio files are distributed as digital files through various communication means and can easily be copied and r...
متن کاملSeamless navigation in audio files
New audio services require editing tools for audio files. Indexing is a solution for fast access to specific information which could be speaker identity, location of speaker intervention on the file, topic identification. Good editing tools for text files have been available for many years and a solution for seamless navigation in an audio file could be the recognition of the content of the fil...
متن کاملAnalyzing registry, log files, and prefetch files in finding digital evidence in graphic design applications
The products of graphic design applications leave behind traces of digital information which can be used during a digital forensic investigation in cases where counterfeit documents have been created. This paper analyzes the digital forensics involved in the creation of counterfeit documents. This is achieved by first recognizing the digital forensic artifacts left behind from the use of graphi...
متن کاملA Watermarking Scheme for MP3 Audio Files
In this work, we present for the first time in our perception an efficient digital watermarking scheme for mpeg audio layer 3 files that operates directly in the compressed data domain, while manipulating the time and subband/channel domain. In addition, it does not need the original signal to detect the watermark. Our scheme was implemented taking special care for the efficient usage of the tw...
متن کاملGenerating Sheet Music From Audio Files
This paper describes a method for using supervised learning to generate sheet music from audio files of single instrument melodies. Support Vector Machines were used to detect the presence of up to 88 notes with one-versus-all classification. We also outline preliminary steps toward transcribing a whole melody by using a sliding window to detect note changes in an audio sample.
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ژورنال
عنوان ژورنال: JOURNAL OF EDUCATION AND SCIENCE
سال: 2012
ISSN: 2664-2530
DOI: 10.33899/edusj.2012.59218