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
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 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

Data Mining: Interesting Ethical Questions
What Is Your Big Data Analytics Stack?
Mission: To convert the power in high altitude winds into clean…
Analyzing and predicting user satisfaction with sponsored search
Predicting the future … in four parts

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

Edge Computing in IoT
Unique Capabilities of Edge Computing in IoT
Exclusive Internet of Things
Turning Geographic Data Into Competitive Advantage
The Rise of Location Intelligence: Turning Geographic Data Into Competitive Advantage
Big Data Exclusive
AI Recruitment Software Solution
The Best AI Recruitment Software Solution: Transforming Hiring with Smarter Tech
Artificial Intelligence Exclusive
real estate data
How Big Data Is Changes How We Buy and Sell Real Estate
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Tufte Shares Wisdom for Data Presenters

4 Min Read

Ease-of-use Key to Successful Business Intelligence Deployments

10 Min Read
Apache Spark
Big DataData ManagementExclusiveNewsSoftware

Apache Spark Pitfalls: The Limitations of the Big Data Processing Giant

5 Min Read

Social Media: Back to Spreadsheets

3 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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
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?