Audio Information Retrieval and Audio Search - PowerPoint PPT Presentation

About This Presentation
Title:

Audio Information Retrieval and Audio Search

Description:

The future of audio IR and audio search ... CNET News.com. Retrieved November 25th from. http://news.com.com/2110-1017-256270.html?legacy=cnet. SHN FAQ. ... – PowerPoint PPT presentation

Number of Views:430
Avg rating:3.0/5.0
Slides: 30
Provided by: csm
Category:

less

Transcript and Presenter's Notes

Title: Audio Information Retrieval and Audio Search


1
Audio Information Retrieval and Audio Search
  • By Chris Mc Coy

2
Brief Overview
  • The basics of audio information retrieval and
    audio search
  • What are some audio IR mechanisms?
  • Briefly Compression
  • Searching by audio query
  • How it works
  • The future of audio IR and audio search

3
The Basics of Audio Search and Audio Information
Retrieval (cont.)
  • What is it?
  • Audio information retrieval is the process of
    retrieving audio information from the available
    resources
  • Text based searching for audio information is
    most common
  • Audio search (content-based retrieval) is a
    method of retrieving information by using a piece
    of audio information (ex a melody of a song)

4
Why is Audio IR important?
  • Audio information in the form of music is one of
    the dominant forms of entertainment
  • News reporting
  • Comedy audio segments
  • Online radio and sports broadcasts
  • Audio in presentations leads to a more
    interesting and interactive product
  • Research and homework

5
What are some Audio IR Mechanisms?
  • Text based
  • Peer-to-peer file sharing software
  • FTP
  • Streaming audio
  • Websites
  • Online network drives
  • Clip Art
  • Audio search devices and software

6
Peer-to-Peer File Sharing Software
  • Peer-to-peer software connects one computer to
    another directly without a central point of
    management
  • Information can be queried and results
    transferred from one computer to another computer

7
Peer-to-Peer File Sharing Software (cont.)
  • Some common software examples
  • Bearshare
  • KaZaA
  • WinMX
  • Others eDonkey2000, Furi, Blubster, Grokster,
    Madster, etc.

8
  • Free download version and 19.95 pay version (6
    months) with extra features
  • Retrieves the following audio information
  • Movie and television sound clips
  • Music songs (.mp3 most common form)
  • Historic news reports
  • Famous speeches
  • Other types of media
  • Videos, pictures, text documents, etc.

9
(No Transcript)
10
(No Transcript)
11
Peer-to-Peer File Sharing Software (cont.)
  • Problems
  • Spyware
  • Programs that collect information about the user
    and usage of the computer
  • Virus transmittal
  • Trojan horse
  • Ex Rolling Stones Ruby Tuesday.exe
  • Too many unrelated results returned
  • Query for the music band Love
  • Thousands of songs with love in the title are
    returned
  • Mismatched names and identification info

12
Compression
  • Audio Compression is a method used to decrease
    the size of an audio file to conserve disk space
  • MP3 is one of the most common forms of compressed
    audio
  • MP3 is a lossy format
  • Depending on quality 1/5 or 1/10 size of .wav
  • Lossy format tradeoff sound quality and file
    size
  • Other common types of compressed audio
  • Real Audio (lossy format)
  • .SHN (Shorten) (loseless format)
  • Controversy exists over the sharing of audio
    information in compressed format

13
Joke
http//cagle.slate.msn.com/news/napster/main.asp
14
FTP
  • Common storage area for audio information
  • Many FTP cater to particular areas of audio
  • FTP sites for trading rare music from a
    particular band
  • Old archived radio or historic audio files
  • To find some FTP sites do a search on a search
    engine (ex Beatles FTP)

15
FTP (cont.)
  • Information needed
  • IP (ex 206.169.40.15)
  • Port (ex 21)
  • Login (ex music)
  • Password (ex mp3)

16
(No Transcript)
17
Streaming Audio
  • Used on many commercial websites to provide sound
    samples of music
  • Ex www.cdnow.com
  • Allows for quick audio information retrieval
  • No permanent download needed
  • Used for many news and radio broadcasts
  • Ex www.nfl.com (live radio broadcasts)
  • Real Audio and Windows Media Player are the most
    common players

18
(No Transcript)
19
(No Transcript)
20
Websites
  • Some websites have audio information available
    for download free of cost
  • www.mp3.com
  • Usually stored on their own personal storage
    space

21
Online network drives
  • Good for sharing audio information between people
    on the same network
  • Students on a residence hall network
  • Employees at work on the same network
  • Positives
  • Fast transfer between computers
  • Negatives
  • No transfers if network is down
  • Virus transmittal

22
Clip Art
  • Good for finding audio information for
    presentations or laughs
  • Power Point has a built in sound clip organizer
    which you can query by text

23
Audio SearchContent-Based Retrieval
  • New developments and technologies allow querying
    IR mechanisms by audio
  • New audio mining (aka audio indexing) tools allow
    both speech processing and search technology all
    in one package
  • Data can be time stamped and queried later by
    speech or by text
  • Good for referencing logged business calls

24
Audio Search Content-Based Retrieval (cont.)
  • New device by Philips Electronics in the
    Netherlands (hope to hit consumer market 2004)
  • Microphone device captures your voice
  • Audio fingerprints are determined
  • Melody query then is sent to a database
  • Results are returned
  • Good for finding a song you dont
  • know by name but know by tune

25
Audio Search Content-Based Retrieval (cont.)
  • Attributes of an audio signal used to index
  • Amplitude - the maximum amount of displacement of
    a particle on the medium from its rest position
  • Frequency - how often the particles of the medium
    vibrate when a wave passes through the medium

26
Audio Search Content-Based Retrieval (cont.)
  • Other attributes used to index audio information
  • Average energy loudness of audio signals
  • Bandwidth frequency range of a sound
  • Brightness Midpoint of the energy distribution
    of a sound
  • Harmony In harmonic sound the spectral
    components are mostly whole number multiples of
    the lowest, and most often, the loudest
    frequency. The lowest frequency is called
    fundamental frequency
  • Pitch how high a sound is use fundamental
    frequency as an approximation

27
Audio Search Content-Based Retrieval (cont.)
  • Positives
  • Quick and easy searching of databases
  • Less problems with text labeling
  • Negatives
  • Sometimes there are difficulties with speech and
    sound recognition

28
The Future of Audio IR
  • Unanswered Questions
  • Will faster computers faster audio IR and
    search mechanisms?
  • What direction will the new audio IR systems head
    towards? Content-based retrieval or text based
    retrieval?
  • How will new file storage mediums and new
    compression methods affect audio IR?
  • What will the impact of querying by audio be once
    the software hits the commercial market?

29
References
  • After Napster The Beat Goes On. Retrieved
    November 25th from http//www.afternapster.com/
  • Anonymous (2002, November). Name that tune.
    Technology Review, Cambridge. Volume 105, issue
    9, page 18.
  • Anonymous (2002). The Phsyics Classroom.
    Retrieved December 4th from http//www.physicscla
    ssroom.com/Class/waves/U10L2b.html
  • Data Compression. Stanford University. Retrieved
    November 24th from http//www.stanford.edu/udara
    /SOCO/lossy/mp3/
  • Gerard, Mike (2002). Security Risks of
    Peer-to-Peer Software across the Internet.
    Retrieved November 23rd from http//ref.cern.ch/C
    ERN/CNL/2002/001/security/
  • Mitchell, Robert L (2002, August). Search engines
    break the sound barrier. Computerworld. Volume
    36, issue 32, page 34.
  • Napster by all the top cartoonists. Retrieved
    November 17th from http//cagle.slate.msn.com/new
    s/napster/main.asp
  • Shankland, Stephen (2001, April). Sun to show
    peer-to-peer software. CNET News.com. Retrieved
    November 25th from http//news.com.com/2110-1017-
    256270.html?legacycnet
  • SHN FAQ. Retrieved November 24th from
    http//alumni.umbc.edu/hamilton/shnfaq.html
  • Wang, Wanshuang. Indexing and Retrieval of
    Multimedia Data. Retrieved December 4th from
    http//php.iupui.edu/wwang/slides.html
Write a Comment
User Comments (0)
About PowerShow.com