Champaign, IL (July 31, 2007)--One Llama Media Inc. has entered into an agreement with APM Music, a leading production music library and 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 is expected to 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.
One Llama's technologies enable 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.
"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," said Adam Taylor, president of APM Music. "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."
One Llama Media