News and Updates

Cognitive music to my ears: IBM Watson music project

Share this post:

Watson is inspiring musical creativity with Grammy-winning music producer Alex Da Kid, who used IBM’s cognitive services to inspire his new song about heartbreak, “Not Easy”. To help the song top the charts, Watson pulled from his collection of APIs to unlock novel insights and concepts from five years of culture and music data. Watson Distinguished Engineer, Dr. Amini’s details the project in her IBM Think blog.

How was Watson trained to understand both culture and music? The creative process was simple. To understand culture, AlchemyLanguage API first uncovered the most pervasive themes in each year. Then, Watson Tone Analyzer read blogs, news articles, and social media to gauge the sentiment around those themes. With this data, Watson arrived at an emotional fingerprint of culture. To understand music, Watson Tone Analyzer read the lyrics of the top 100 songs for each week in the last 5 years. Thus, Watson arrived at an emotional fingerprint of music. To analyze both culture and music, Watson read 2.8 million lines of text. In addition, Alex experimented with Watson Beat, a technology that curated brand new music beats as inspiration for his next song.

This project demonstrates the broader impact cognitive computing has wherever humans and machines interact. Where we once had to manually analyze big data sets to see if there was negative or positive sentiment on a product, AlchemyAPI is able to do so in minutes, first by extracting sentiment, followed by a deeper analysis to detect distinct emotions and broader concepts. Try using AlchemyAPI to analyze your own text here.

Pairing perfectly with AlchemyAPI, Watson Tone Analyzer then provides advanced linguistic analysis of written text. Tone Analyzer detects tones from expressed emotions, social tendencies and writing style. This API can be used for things as simple as receiving feedback on communication style to being incorporated as a ‘digital virtual agent’ to monitor and flag frustrated clients interacting with automated agents.

Let Tone Analyzer review your text here.

Much in the same way, Watson APIs are used to propose evidence-based answers in areas like cancer research, pharmaceutical discovery, finance, and environmental and ecological exploration. Most importantly, Watson APIs are easy and simple to set up. Start analyzing your data immediately and building apps quickly.

From inspiring the next hit song to unlocking the hidden value in unstructured data, discover how Watson Developer Cloud APIs impact daily business operations. Learn more in this white paper, “Text analysis: A crucial part of enterprise data initiatives.”

What will you build with Watson? Start your 30 day free trial and access the APIs

 

Add Comment
No Comments

Leave a Reply

Your email address will not be published.Required fields are marked *








More News and Updates Stories
July 20, 2017

Watch your tone! IBM expands on Watson’s tone sensitivity for customer service applications

Watson's Tone Analyzer API is expanding its emotional understanding to help businesses better solve customer engagement challenges. The new feature detects tones in customer conversations indicating frustration, satisfaction, excitement, politeness, impoliteness, sadness and sympathy helping agents and chatbots respond appropriately to customers.

Continue reading

July 11, 2017

AI-to-AI communication in advertising increases brand safety and improves ad performance

Watson Discovery News helps ad agency Rocket Fuel find and interpret millions of articles weekly to determine sentiment, and negative and positive keywords. This transforms millions of customer data points into predictive marketing intelligence, and improves brand safety and ad performance.

Continue reading

July 6, 2017

How Wimbledon is using IBM Watson AI to power highlights, analytics and enriched fan experiences

As the official IT consultant to Wimbledon for 28 years, IBM delivers new levels of engagement for attendees and 70 million online fans. Watson is analyzing 22 years of data and 53,713,514 tennis data points. A Watson-powered digital assistant helps fans around the venue.

Continue reading