Patents by Inventor Maxwell J. Wells

Maxwell J. Wells has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • MUSIC SEARCHING METHODS BASED ON HUMAN PERCEPTION
    Publication number: 20140372479
    Abstract: A method for characterizing a musical recording as a set of scalar descriptors, each of which is based on human perception. A group of people listens to a large number of musical recordings and assigns to each one many scalar values, each value describing a characteristic of the music as judged by the human listeners. Typical scalar values include energy level, happiness, danceability, melodicness, tempo, and anger. Each of the pieces of music judged by the listeners is then computationally processed to extract a large number of parameters which characterize the electronic signal within the recording. Algorithms are empirically generated which correlate the extracted parameters with the judgments based on human perception to build a model for each of the scalars of human perception. These models can then be applied to other music which has not been judged by the group of listeners to give to each piece of music a set of scalar values based on human perception.
    Type: Application
    Filed: July 11, 2014
    Publication date: December 18, 2014
    Inventors: Maxwell J. Wells, Navdeep S. Dhillon, David Waller
  • Music searching methods based on human perception
    Patent number: 8805657
    Abstract: A method for characterizing a musical recording as a set of scalar descriptors, each of which is based on human perception. A group of people listens to a large number of musical recordings and assigns to each one many scalar values, each value describing a characteristic of the music as judged by the human listeners. Typical scalar values include energy level, happiness, danceability, melodicness, tempo, and anger. Each of the pieces of music judged by the listeners is then computationally processed to extract a large number of parameters which characterize the electronic signal within the recording. Algorithms are empirically generated which correlate the extracted parameters with the judgments based on human perception to build a model for each of the scalars of human perception. These models can then be applied to other music which has not been judged by the group of listeners to give to each piece of music a set of scalar values based on human perception.
    Type: Grant
    Filed: November 2, 2012
    Date of Patent: August 12, 2014
    Assignee: Gracenote, Inc.
    Inventors: Maxwell J. Wells, Navdeep S. Dhillon, David Waller
  • Music searching methods based on human perception
    Patent number: 8326584
    Abstract: A method for characterizing a musical recording as a set of scalar descriptors, each of which is based on human perception. A group of people listens to a large number of musical recordings and assigns to each one many scalar values, each value describing a characteristic of the music as judged by the human listeners. Typical scalar values include energy level, happiness, danceability, melodicness, tempo, and anger. Each of the pieces of music judged by the listeners is then computationally processed to extract a large number of parameters which characterize the electronic signal within the recording. Algorithms are empirically generated which correlate the extracted parameters with the judgments based on human perception to build a model for each of the scalars of human perception. These models can then be applied to other music which has not been judged by the group of listeners to give to each piece of music a set of scalar values based on human perception.
    Type: Grant
    Filed: April 21, 2000
    Date of Patent: December 4, 2012
    Assignee: Gracenote, Inc.
    Inventors: Maxwell J. Wells, David Waller, Navdeep S. Dhillon