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Audio encoding rate selection is mostly based on the extent of channel congestion in these days. This paper presents an analysis of complexity of audio based Mean Opinion Score (MOS). The different styles of music exhibit various requirement of encoding rates in the view of MOS. A preliminary encoding rate selection system is set up. Experiment results indicate that our system can reduce encoding...
Automatic indexing of music by instruments and their types is a challenging problem, especially when multiple instruments are playing at the same time. We have built a database containing more than one million of music instrument sounds, each described by a large number o features including standard MPEG7 audio descriptors, features for speech recognition, and many new audio features developed by...
Within the last years the amount of digital media has been spread due to efficient media encoding algorithms. Hence, a large number of audio and video files are stored on the users hard disks and on popular video community platforms. Due to the lack of suitable or disobeyed metadata standards, the description of these data is often missing or misleading. Therefore, audio and visual identification...
An audio fingerprint is a compact yet very robust representation of the perceptually relevant parts of an audio signal. It can be used for content-based audio identification, even when the audio is severely distorted. Audio compression changes the fingerprint slightly. We show that these small fingerprint differences due to compression can be used to estimate the signal-to-noise ratio (SNR) of the...
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