CHAMPAIGN, IL. (Top40 Charts/ One Llama Media) - One Llama Media Inc., a leader in advanced music search, has entered into an agreement with APM Music, the world's leading production music library, a joint venture of EMI
Music Publishing and Universal
Music Publishing, to work with APM to develop and provide a new software solution for improving advanced music searches and automated music classifications. The software utilizes One Llama's proprietary acoustic analysis, cultural analysis and trainable machine learning algorithms. APM and EMI will offer the software to their customers to provide them with advanced methods of navigating and searching for music in the APM library of over 250,000 musical recordings.
The combination of track classification and advanced music search solutions will dramatically improve EMI's and APM's ability to deliver the right music to each of its customers worldwide, while improving workflow and making the search experience faster and more accurate.
"Finding the right music for a project is a time consuming and inexact science for customers today," said Adam Taylor, President of APM Music. "One Llama's classification technology will enable us to more accurately and dynamically classify our collection, bringing the search and browse experiences for our clients to an entirely new level. Additionally, One Llama's search technology will enable our customers to search for music based on audio similarity giving production clients an entirely new way to quickly find the music they need."
Jim Brady, EVP of IT for EMI said, "Technology has become an essential part of maintaining our leading position in the production music industry. One Llama's technology is unique in the marketplace and will be a benefit to our customers worldwide. Our relationship with One Llama helps APM and EMI provide the most cutting-edge technology and services to our customers available anywhere."
One Llama's technologies enable innovative search methods based on proprietary feature extraction techniques that take into consideration a wide variety of physical acoustic and psycho-acoustic factors to determine musical similarity. Advanced machine learning algorithms are used to model what a track sounds like and how similar it is to other tracks. The classification application enhances music search accuracy in commonly used applications such as iTunes and other digital asset management systems. The system combines its custom validation and training system with the knowledge and experience of APM's and EMI's subject matter experts to continually improve the accuracy of results. The results are then embedded into EMI's and APM's audio files in a variety of digital music formats including MP3 and BWAV.
"We are excited to be working with APM Music and EMI Music on one of the greatest collections of music in the world," said Rob Schultz, One Llama's CEO. "Being selected by the world's leader in production music validates the richness and uniqueness of our technology. This is a perfect application of our core competencies and our ability to handle the very large dataset opportunities that the APM and EMI music collections present."
