Music recognition
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Transcript of Music recognition
Music recognition searching application
Member A:Kwan Lok Hei Aaron (12213802)
Member B:XIE Siyu Shelley (12250643)
Member C:Cheung Lik Man(12206970)
Saturday, April 15, 2023
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
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.
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
Application(2)
Features:
Artist biographies
Tour dates
A map of the location where you tagged the song
Show discography of the artist
Lyrics display
Offer YouTube clips
Recommended songs relating to the one you tagged
Share via Twitter and Facebook
Shazam
Video demonstration(Shazam1)
https://www.youtube.com/watch?feature=player_embedded&v=hny-G-0nUBM
Video demonstration(Shazam2)
https://www.youtube.com/watch?feature=player_embedded&v=BJzCyaE6eKQ
Video demonstration(Soundhound)
https://www.youtube.com/watch?v=7c1MnRaiRwg
Job Division
Survey:
Member A,B,C
Question:11-13
Member A
Analysis Chart Creation
Question:3-5
Member B
Analysis Chart Creation
Question:6-10
Member C
Analysis Chart Creation
Data Process:
Member A,B,C
PowerPoint Creation:
Member C
Information collection: Member A
Mind Map:
Member A,B,C
Web Search:
Member B
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: http://library.hkbu.edu.hk/main/index.html
Information Collected(2)
Library Resources:
Onesearch
Keywords for searching:
“Music recognition”
Shazam OR Soundhound
Mind Map
http://www.mindmeister.com/251475311/voice-recognition
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: https://qtrial.qualtrics.com/SE/?SID=SV_55XIo6wFYrlinbL
No. of respond: 33
3.How much do you like listening music?
Degree Nauseous
Tiresome
Neutral Favorite Very like
Total Response
Answer 0 0 6 12 15 33
4.What is your frequency of listening music in a month?
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 weekly
15 45%
Total 33 100%
MP3
Cell phone
Computer
Other devices
0
1
2
3
4
5
6
7
8
Frenquency and Devices of Listening to Music
1-2 time weekly
2-5 times weekly
5-9 times weekly
Above 9 times weekly
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%
Analysis to Question 3-5
2 Factors that reduce music recognition
apps’ popularity:
1. Degree of Likeness
2. Advantages of Other Devices
19%
37%
27%
4%13%
Q6.What do you use when searching for a piece of music?
A sentence of the lyricsThe name of a songThe singerThe melodyAsking to friends
The best way
A better way
Normal way
A worse way
The worst way
0 5 10 15 20 25 30 35
7
14
8
4
0
21
11
1
0
0
4
7
13
9
0
1
1
11
19
1
0
0
0
1
32
10.What tools do you think that is the best way to search unknown music or songs?(please arrange in order)
OtherGoing to CD shopAsking friendsInternetMusic recognition applica-tions or software
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.
YESNO
0
5
10
15
20
25
30
35
Q7.If an app can help you searching for music efficiently when you don’t know much about the song, will you use it?
Series1
Strongly Disagree
Disagree
Neither Agree nor Disagree
Agree
Strongly Agree
0 2 4 6 8 10 12 14
Q9.Do you think such apps can replace the music searching website?(eg. google, yahoo, youtube)
Strongly DisagreeDisagreeNeither Agree nor DisagreeAgreeStrongly Agree
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.
Chart and data in Question 11,12,13 (for reference)
Yes37%
No63%
Are the users willing to help enlarge the database?
OVER HALF (63%) of the respondents
refused to help enlarge the database
Yes37%
No63%
Are the users willing to help enlarge the database?
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
Why users love
15%
24%
28%
13%
9% 9%
3%
Reasons of attractions
Large database (a big song storage)
Very convenient
Free
Don't need to know much information about the song
Results are comprehensive.(with lyrics and youtube link)
Results are accurate
Other reason:
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
Why users refuse to use
18%
27%10%
6%
35%
4%
Reasons of why people refuse to use
Small databaseResults are not accurateAlways sing out of pitchNo smartphoneCharge for US$5Other reason:
Why users refuse to useReason 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.
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.