Global tech company trains virtual assistant to recognize millions of songs without words
Tech giant develops AI that recognizes songs based on users humming, whistling or singing the melody
One of the world’s biggest tech companies wanted to train their virtual assistant to recognize tunes without being given the name, the artist or a single word of the song.Â
Thousands of audio recordings were needed to train the AI, covering renditions of tunes by people of all skill levels and from different population groups.Â
After consulting with the company to identify their requirements, TrainAI by ¾ÅÉ«ÊÓƵ curated a diverse team of global workers who created the data by humming, singing and whistling tunes based on a list of 10,000 songs. The data was then categorized into recordings of people humming, singing or whistling, and by basic demographics.
After consulting with the company to identify their requirements, TrainAI by ¾ÅÉ«ÊÓƵ curated a diverse team of global workers who created the data by humming, singing and whistling tunes based on a list of 10,000 songs.
Challenges
Train AI to identify songs:Â
- With no lyrics, using the melody onlyÂ
- Based on everyday users humming, singing or whistling the tuneÂ
- Regardless of the user’s musical ability or demographics
Results
- Time savings and reduced human error achieved with bespoke automationsÂ
- 160,000+ recordings – over 5× the requested amount – delivered within budgetÂ
- AI trained to recognize millions of songsÂ
- New feature successfully launched and widely used around the worldÂ
- Ongoing partnership established for other AI needs