Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Detecting latent variables… in rock music
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Detecting latent variables… in rock music
Data MiningPredictive Analytics

Detecting latent variables… in rock music

DavidMSmith
DavidMSmith
3 Min Read
SHARE

Here’s a neat example of data analysis and visualization (sadly, not using R) with an interesting application: detecting rock songs where the drummer uses a “click track” (an audio metronome that keeps the drum beat to a constant pace). Using a click track makes editing and mixing a song together easier by making it easier to line up beats, but some claim that the robotic drumming style drains the life from a song.

Anyway, Paul Lamere used a Python library to analyze the duration of the beats in mp3 tracks over time (an interesting latent-variable exercise in its own right, but sadly with few details). He then smoothed the beat durations and plotted differences (using gnuplot) from this average over time. Click tracks predate the Beatles, so here’s what Ringo Starr’s beat durations in Dizzy Miss Lizzie look like:

Beatles

As you can see, the drum beats drift up and down in duration several times over the course of the song. By comparison, the drum beats in a Britney Spears song barely change duration over time…
 

More Read

Why This Snaky Python Language?
PAW Speaker Wins the Netflix Progress Prize
The FTC Still Wondering If Cookies Can Behave…
Can Predictive Analytics Prevent Tax Evasion?
4 Benefits for the Public Sector when Governments Start Using Big Data

Here’s a neat example of data analysis and visualization (sadly, not using R) with an interesting application: detecting rock songs where the drummer uses a “click track” (an audio metronome that keeps the drum beat to a constant pace). Using a click track makes editing and mixing a song together easier by making it easier to line up beats, but some claim that the robotic drumming style drains the life from a song.

Anyway, Paul Lamere used a Python library to analyze the duration of the beats in mp3 tracks over time (an interesting latent-variable exercise in its own right, but sadly with few details). He then smoothed the beat durations and plotted differences (using gnuplot) from this average over time. Click tracks predate the Beatles, so here’s what Ringo Starr’s beat durations in Dizzy Miss Lizzie look like:

Beatles

As you can see, the drum beats drift up and down in duration several times over the course of the song. By comparison, the drum beats in a Britney Spears song barely change duration over time:

Britney
It’s neat the information you can extract with a bit of data analysis and simple series of charts plotted on the same scale.

Music Machinery: In search of the click track

TAGGED:data analysispythonvisualization
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai product development
Why Businesses Outsource AI Product Development Companies
Exclusive News
banking tools
The Fintech and Banking Tools Global Entrepreneurs Rely On
Fintech Infographic
business using business intelligence
How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
Analytics Big Data Exclusive Marketing
fda14abd c869 4da5 943c c036ad8efc2e
How Data-Driven Journalists Are Using API News Apps to Improve Reporting
Big Data Exclusive News

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

free python machine learning ebooks
Big DataBusiness IntelligenceData ScienceR Programming Language

5 Free Programming and Machine Learning Books for Data Scientists

8 Min Read
hire the right python developers for your data science team
Python

Roles of Python Developer in Data Science Teams

5 Min Read
GPU databases
AnalyticsComputingData ManagementData WarehousingHardwareIT

3 Ways GPU Databases are Transforming Financial Services

4 Min Read
CRM Tools
Big DataBusiness IntelligenceCRMData Management

How Brands Are Using Big Data & CRM Tools to Build Psychographic Profiles

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?