March 15, 2016
Patent US9286911: Sound identification systems
Patent registration number US9286911B2
Patent inventor: Chris Mitchell
A digital sound identification system for storing a Markov model is disclosed. A processor is coupled to a sound data input, working memory, and a stored program memory for executing processor control code to input sound data for a sound to be identified. The sample sound data defines a sample frequency domain data energy in a range of frequency. Mean and variance values for a Markov model of the sample sound are generated. The Markov model is stored in the non-volatile memory. Interference sound data defining interference frequency domain data is inputted. The mean and variance values of the Markov model using the interference frequency domain data are adjusted. Sound data defining other sound frequency domain data are inputted. A probability of the other sound frequency domain data fitting the Markov model is determined. Finally, sound identification data dependent on the probability is outputted.
You can view the full patent here.
About our Patents
We have a portfolio of 31 patents globally (filed and granted).
Our patent portfolio is a combination of patents covering the uses of sound recognition in products, and covering the technology techniques we use and have used for our sound recognition. You can visit the patents page which shows our full list of patents which are either granted or are in the public phase of the various patent systems. We continue to maintain trade secrets around our own ‘special sauce’ which has been built up from years of practical experience.