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Overview of System Structure

Module by: Po T Wang, Andre Mosley, John Broadway, Yu-Heng Lee. E-mail the authors

Our goal is to create a dependable and robust system that can effectively identify an audio clip from a database of songs and return identification information such as the title.

We propose a system that stores “fingerprints” of audio files in a database. When a match request is initiated, the system takes a fingerprint of the file to be searched for and returns song information based on fingerprint comparisons.

To add a song to the database, the full-length high-quality (44.1 kHz, 16-bits) audio file is sent to the audio fingerprint generator (AFG). The output of AFG is then stored in an array in the database.

To identify an audio clip, the audio clip file (any quality) is sent to the AFG and the resulting fingerprint is compared against every fingerprint in the database using the match recognition system (MRS).

Figure 1: An unidentified audio clip is sent to the audio fingerprint generator. The resulting fingerprint is matched against every known fingerprint in the database.
Figure 1
Figure 1 (overview.jpg)

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Definition of a lens

Lenses

A lens is a custom view of the content in the repository. You can think of it as a fancy kind of list that will let you see content through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual member, a community, or a respected organization.

What are tags? tag icon

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

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