Skip to content Skip to navigation

Connexions

You are here: Home » Content » Results and Conclusions

Navigation

Content Actions
  • Download module PDF
  • Add to ...
    Add the module to:
    • My Favorites
    • A lens
    • An external social bookmarking service
    • My Favorites (What is 'My Favorites'?)
      'My Favorites' is a special kind of lens which you can use to bookmark modules and collections directly in Connexions. 'My Favorites' can only be seen by you, and collections saved in 'My Favorites' can remember the last module you were on. You need a Connexions account to use 'My Favorites'.
    • A lens (What is a lens?)

      Definition of a lens

      Lenses

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

      What is in a lens?

      Lens makers point to Connexions 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 Connexions member, a community, or a respected organization.

    • External bookmarks
  • E-mail the authors

Lenses

What is a lens?

Definition of a lens

Lenses

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

What is in a lens?

Lens makers point to Connexions 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 Connexions member, a community, or a respected organization.

This content is ...

Affiliated with (What does "Affiliated with" mean?)

This content is either by members of the organizations listed or about topics related to the organizations listed. Click each link to see a list of all content affiliated with the organization.
  • Rice University ELEC 301 Projects

    This module is included inLens: Rice University ELEC 301 Project Lens
    By: Rice University ELEC 301As a part of collection:"ELEC 301 Projects Fall 2006"

    Click the "Rice University ELEC 301 Projects" link to see all content affiliated with them.

Recently Viewed

Results and Conclusions

Module by: John Broadway, Yu-Heng Lee, Andre Mosley, Po T Wang

Summary: This module sums up the results of our audio file recognition system.

Using a 46-song database, we found our system to be quite reliable, even with short clip lengths and low signal-to-noise ratios. The system was able to detect matches even when the identity of the song clip could not be audibly ascertained. Since the system handles distortion well, it should be well suited to receive input clips from a microphone.

Figure 1
Figure 1 (Graphic1.jpg)

SNR vs. Confidence Level for Match. Confidence is the ratio of the calculated matched filter spike to the ideal spike. Even with the lowest SNR we tested (200% noise), matching still occurred correctly.

Figure 2
Figure 2 (Graphic2.jpg)

Clip Length vs. CPU Time. As clip length increases, match-seeking time increases linearly. Smaller clips are faster. 75 seconds minimum time is required to search through the database. Even with the shortest clip tested (1 second), matching occurred correctly.

The main drawbacks of our system were in its computation time. A little over a minute is required to perform the search and matching operations. With many more songs added to the database, the delay would be considerably longer.

Figure 3
Figure 3 (Graphic3.jpg)

Computation Time Breakdown. The FFT algorithms in the Match Recognition System consume most of the operation time.

If the database were large enough to use the system in practical applications, the search delay would be far too long. To improve the operation time of the system, the Match Recognition System would most likely be optimized. Possible methods for this optimization include predictive shifting in the filtering stage and partitioning of the database.

Comments, questions, feedback, criticisms?

Send feedback