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Music recognition



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  • 1. Music recognition searchingapplication Member A:Kwan Lok Hei Aaron (12213802) Member B:XIE Siyu Shelley (12250643) Member C:Cheung Lik Man(12206970) Monday, April 22, 2013
  • 2. WE WANT TO KNOW…..
  • 3. Objectives Briefly introduce music recognition Compare the music recognition searching engine with ordinary searching engine The Merits of music recognition searching The limitations of music recognition searching Find out what does the users really need for the music searching engine
  • 4. Music recognition searching application It is one of the applications using Speech recognition technology. The application relies on:  Fingerprinting music (spectrogram) technology.  Speech-to-text technology. Operation: 1. Abundant of music’s fingerprints are stored in the database. 2. A user can tape the song for 10 seconds in order to get sufficient information(fingerprint). 3. The app uploads the fingerprint to its corresponding service and do a matching. 4. If the match is found, the app outputs the result to the user.
  • 5. Application(1)  Features:  Biographies  Other albums and tracks by that artist  Lyrics display  Show the YouTube clips  Show similar artists  Tour dates  Song’s album appearance  Share via Email, Twitter, Facebook or SMS
  • 6. Application(2)  Features:  Artist biographies  Tour dates  A map of the location where you tagged the song  Show discography of the artistShazam  Lyrics display  Offer YouTube clips  Recommended songs relating to the one you tagged  Share via Twitter and Facebook
  • 7. Video demonstration(Shazam1)
  • 8. Video demonstration(Shazam2)
  • 9. Video demonstration(Soundhound) MnRaiRwg
  • 10. Job Division Data Process: PowerPoint Information Creation: collection: Member A,B,C Member C Member A Mind Map: Survey: Web Search: Member Member Member B A,B,C A,B,C Question:11- Question:6- Question:3-5 13 10 Member B Member A Member C Chart Chart ChartAnalysis Analysis Analysis Creation Creation Creation
  • 11. Information Collected Web Searching  Searching tools: Google  Keywords for searching:  “voice search” technology  Voice OR speech recognition principle  Voice recognition –history  Speech recognition *  Voice recognition site:
  • 12. Information Collected(2) Library Resources:  Onesearch  Keywords for searching:  “Music recognition”  Shazam OR Soundhound
  • 13. Mind Map
  • 14. Online SurveyAim: To know what does the users really need for the music searching engine To know what is the advantages of music recognition searching application over ordinary searching engineSurvey Link: FYrlinbLNo. of respond: 33
  • 15. 3.How much do you like listening music?Degree Nause Tireso Neutra Favorit Very Total ous me l e like ResponseAnswer 0 0 6 12 15 33
  • 16. 4.What is your frequency of listening music in amonth? Frequency Response % Seldom 0 0% 1-2 time weekly 3 9% 2-5 times weekly 5 15% 5-9 times weekly 10 30% Above 9 times 15 45% weekly Total 33 100%
  • 17. 876 Frenquency and Devices of Listening to Music54 1-2 time weekly 2-5 times weekly3 5-9 times weekly2 Above 9 times1 weekly 0 MP3 Cell phone Computer Other devices
  • 18. 5.What do you often use to listen to music?Device Response %MP3 4 12%Cell phone 23 70%Computer 20 61%Other devices 4 12%
  • 19. Analysis to Question 3-5 2 Factors that reduce music recognition apps’ popularity:1. Degree of Likeness2. Advantages of Other Devices
  • 20. Q6.What do you use when searching for a piece of music? 13% 4% 19% A sentence of the lyrics The name of a song27% The singer The melody Asking to friends 37%
  • 21. 10.What tools do you think that is the best way to search unknown music or songs?(please arrange in order) 32 1The worst way 0 0 0 1 19 A worse way 9 Other 0 4 0 Going to CD shop 11 Normal way 13 1 Asking friends 8 0 1 Internet A better way 7 11 14 Music recognition applications 0 or software 1 The best way 4 21 7 0 5 10 15 20 25 30 35
  • 22. Analysis(1) Most people always need to remember the detail of the music or song such as the name, the lyrics and the singer in order to find the music or song that they desire to listen. They seldom use the melody to find the music or song. Although most of the respondents chose Internet as the best way for searching music or song, music recognition application or software is the second popular one. Music recognition application or software is getting people’s awareness and support.
  • 23. Q7.If an app can help you searching for music efficiently when you don’t know much about the song, will you use it?3530252015 YES10 NO 5 0 YES NO
  • 24. Q9.Do you think such apps can replace the music searching website?(eg. google, yahoo, youtube) Strongly Agree Agree Strongly Disagree DisagreeNeither Agree nor Disagree Neither Agree nor Disagree Agree Strongly Agree Disagree Strongly Disagree 0 2 4 6 8 10 12 14
  • 25. Analysis(2)The demand and the popularity of music recognition application or software is being increase. People think this innovative recognition technology may replace the traditional searching methods.
  • 26. Merits and Limitations
  • 27. Chart and data in Question 11,12,13 (forreference) Are the users willing to help enlarge the database? Yes 37% No 63%
  • 28. Are the users willing to help enlarge the database? Yes 37% No 63%OVER HALF (63%) of the respondents refused to help enlarge the database
  • 29. LimitationOver half of the respondents refused to help enlarge the databaseAs the enlargement of database relied heavily on users’ contribution  The database can not be enlarge  thus, searching result may not be desirable
  • 30. Why users love Reasons of attractions Large database (a big song storage) 3% 9% 15% Very convenient 9% Free13% 23% Dont need to know much information about the song Results are comprehensive.(with 28% lyrics and youtube link) Results are accurate Other reason:
  • 31. Why users love Reason of “Free” and “convenient” made up HALF (51%) followed by “Large database”. Two options regarding “Results” constituted only 9% each. “Free” and “convenient” are the main reasons of attraction followed by “Large database”. On the other side, users don’t care much about the results. The merits should be
  • 32. Why users refuse to use Reasons of why people refuse to use 4% 18%35% Small database Results are not accurate 27% Always sing out of pitch No smartphone 6% Charge for US$5 10% Other reason:
  • 33. Why users refuse to useReason of “Charge for US$5” accounted for 35% while “ inaccurate results” made up 27%, followed by “Small database”(18%). “No smartphone constituted the least ( 6%) while “always sing out of pitch” had 10%.What the users considered the most is the CHARGE, followed by inaccurate results and small database. And users are slightly concerned about if they would sing out of pitch.
  • 34. Merits and limitations The merits are mainly convenient and with large database. Yet, some respondents said that they wouldn’t help to enlarge the database. That’s the conflicts And may have a vicious cycle:  Database is not large enough and therefore the results will not be very accurate, then less people to use, thus database cannot be enlarged  All users may leave because of the small database. Besides, users always consider about money. If the app is charged for US$5, users may use GOOGLE instead. It’s because there share the similar function but music recognition is just more convenient.