Patents by Inventor Malcolm Slaney

Malcolm Slaney 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).

  • Patent number: 7134132
    Abstract: A method and system for displaying advertisements. The advertisements are displayed on a television having a controlled connected thereto and configured for receiving commands from a viewer of the television. The method includes displaying a first advertisement on the television, receiving a command from the viewer of the television to display a second advertisement, the second advertisement being a variant of the first advertisement, and displaying the second advertisement on the television.
    Type: Grant
    Filed: April 17, 2003
    Date of Patent: November 7, 2006
    Assignee: Interval Research Corporation
    Inventors: J. Thomas Ngo, Malcolm Slaney
  • Publication number: 20060067548
    Abstract: The estimation of an HRTF for a given individual is accomplished by means of a coupled model, which identifies the dependencies between one or more images of readily observable characteristics of an individual, and the HRTF that is applicable to that individual. Since the HRTF is highly influenced by the shape of the listener's outer ear, as well as the shape of the listener's head, images of a listener which provides this type of information are preferably applied as an input to the coupled model. In addition, dimensional measurements of the listener can be applied to the model. In return, the model provides an estimate of the HRTF for the observed characteristics of the listener.
    Type: Application
    Filed: November 14, 2005
    Publication date: March 30, 2006
    Inventors: Malcolm Slaney, Michele Covell, Steven Saunders
  • Patent number: 6996244
    Abstract: The estimation of an HRTF for a given individual is accomplished by means of a coupled model, which identifies the dependencies between one or more images of readily observable characteristics of an individual, and the HRTF that is applicable to that individual. Since the HRTF is highly influenced by the shape of the listener's outer ear, as well as the shape of the listener's head, images of a listener which provides this type of information are preferably applied as an input to the coupled model. In addition, dimensional measurements of the listener can be applied to the model. In return, the model provides an estimate of the HRTF for the observed characteristics of the listener.
    Type: Grant
    Filed: August 6, 1999
    Date of Patent: February 7, 2006
    Assignee: Vulcan Patents LLC
    Inventors: Malcolm Slaney, Michele Covell, Steven E. Saunders
  • Patent number: 6968565
    Abstract: The invention enables and/or facilitates the display of personalized content to content observers by content providers (e.g., advertisers) who disseminate content over a network. The invention enables identification of particular content observers at a content display site using analysis of content observation behavior at a content display site, data regarding one or more physical characteristics of content observers in the vicinity of the content display device during display of particular content, and/or analysis of demographic characteristics of possible content observers at the content display site. The invention prevents unauthorized access to data produced as part of identification of the content observer.
    Type: Grant
    Filed: November 28, 2000
    Date of Patent: November 22, 2005
    Assignee: Vulcan Patents LLC
    Inventors: Malcolm Slaney, Bonnie M. Johnson, Annarosa Tomasi, Michele M. Covell, Gavin S. P. Miller, Steven E. Saunders
  • Publication number: 20050131683
    Abstract: A data-compressed audio waveform is temporally modified without requiring complete decompression of the audio signal. Packets of compressed audio data are first unpacked, to remove scaling that was applied in the formation of the packets. The unpacked data is then temporally modified, using one of a number of different approaches. This modification takes place while the audio information remains in a data-compressed format. New packets are then assembled from the modified data, to produce a data-compressed output stream that can be subsequently processed in a conventional manner to reproduce the desired sound. The assembly of the new packets employs a technique for inferring an auditory model from the original packets, to requantize the data in the output packets.
    Type: Application
    Filed: September 17, 2004
    Publication date: June 16, 2005
    Inventors: Michele Covell, Malcolm Slaney, Arthur Rothstein
  • Patent number: 6842735
    Abstract: A data-compressed audio waveform is temporally modified without requiring complete decompression of the audio signal. Packets of compressed audio data are first unpacked, to remove scaling that was applied in the formation of the packets. The unpacked data is then temporally modified, using one of a number of different approaches. This modification takes place while the audio information remains in a data-compressed format. New packets are then assembled from the modified data, to produce a data-compressed output stream that can be subsequently processed in a conventional manner to reproduce the desired sound. The assembly of the new packets employs a technique for inferring an auditory model from the original packets, to requantize the data in the output packets.
    Type: Grant
    Filed: September 13, 2000
    Date of Patent: January 11, 2005
    Assignee: Interval Research Corporation
    Inventors: Michele M. Covell, Malcolm Slaney, Arthur Rothstein
  • Publication number: 20040205461
    Abstract: A system and method for automatically generating a hierarchical table of contents or outline for indexing a document and identifying clusters of related information in the document. The document may comprise text, audio, video, or a multimedia presentation. The invention employs a unique and novel combination of latent semantic indexing techniques to identify related blocks and major topic changes within the document with scale space segmentation techniques to respectively identify self-similar blocks within the document and to thus find topic changes of various sizes at block edges. The invention then produces a visual presentation of the semantic structure of the document.
    Type: Application
    Filed: December 28, 2001
    Publication date: October 14, 2004
    Applicant: International Business Machines Corporation
    Inventors: James H. Kaufman, Dulce Beatriz Ponceleon, Malcolm Slaney
  • Publication number: 20030229901
    Abstract: A system and a corresponding method for temporal modification of audio signals, to increase or reduce the playback rates of an audio and/or a video file in a client-server environment. The system and method improve the efficiency of serving streaming media to a client so that the client can select an arbitrary time-speedup factor. The speedup system performs many of the pre-calculations once, at the server, so that the bandwidth needs are reduced and the client's computational load is minimized. The final time-scale-modification can be either done completely on the server, thus reducing the client's needs, or partly on the client's computer to minimize latency, and to reduce on-the-fly computational load from the server that serves multiple clients concurrently.
    Type: Application
    Filed: June 6, 2002
    Publication date: December 11, 2003
    Applicant: International Business Machines Corporation
    Inventors: Arnon Amir, Malcolm Slaney
  • Patent number: 6628821
    Abstract: The identification of hidden data, such as feature-based control points in an image, from a set of observable data, such as the image, is achieved through a two-stage approach. The first stage involves a learning process, in which a number of sample data sets, e.g. images, are analyzed to identify the correspondence between observable data, such as visual aspects of the image, and the desired hidden data, such as the control points. Two models are created. A feature appearance-only model is created from aligned examples of the feature in the observed data. In addition, each labeled data set is processed to generate a coupled model of the aligned observed data and the associated hidden data. In the second stage of the process, the modeled feature is located in an unmarked, unaligned data set, using the feature appearance-only model. This location is used as an alignment point and the coupled model is then applied to the aligned data, giving an estimate of the hidden data values for that data set.
    Type: Grant
    Filed: May 13, 2002
    Date of Patent: September 30, 2003
    Assignee: Interval Research Corporation
    Inventors: Michele Covell, Malcolm Slaney
  • Patent number: 6574793
    Abstract: A method and system for displaying advertisements. The advertisements are displayed on a television having a controlled connected thereto and configured for receiving commands from a viewer of the television. The method includes displaying a first advertisement on the television, receiving a command from the viewer of the television to display a second advertisement, the second advertisement being a variant of the first advertisement, and displaying the second advertisement on the television.
    Type: Grant
    Filed: February 25, 2000
    Date of Patent: June 3, 2003
    Assignee: Interval Research Corporation
    Inventors: J. Thomas Ngo, Malcolm Slaney
  • Patent number: 6570991
    Abstract: A speech/music discriminator employs data from multiple features of an audio signal as input to a classifier. Some of the feature data is determined from individual frames of the audio signal, and other input data is based upon variations of a feature over several frames, to distinguish the changes in voiced and unvoiced components of speech from the more constant characteristics of music. Several different types of classifiers for labeling test points on the basis of the feature data are disclosed. A preferred set of classifiers is based upon variations of a nearest-neighbor approach, including a K-d tree spatial partitioning technique.
    Type: Grant
    Filed: December 18, 1996
    Date of Patent: May 27, 2003
    Assignee: Interval Research Corporation
    Inventors: Eric D. Scheirer, Malcolm Slaney
  • Patent number: 6400828
    Abstract: The identification of hidden data, such as feature-based control points in an image, from a set of observable data, such as the image, is achieved through a two-stage approach. The first stage involves a learning process, in which a number of sample data sets, e.g. images, are analyzed to identify the correspondence between observable data, such as visual aspects of the image, and the desired hidden data, such as the control points. Two models are created. A feature appearance-only model is created from aligned examples of the feature in the observed data. In addition, each labeled data set is processed to generate a coupled model of the aligned observed data and the associated hidden data. In the second stage of the process, the modeled feature is located in an unmarked, unaligned data set, using the feature appearance-only model. This location is used as an alignment point and the coupled model is then applied to the aligned data, giving an estimate of the hidden data values for that data set.
    Type: Grant
    Filed: February 13, 2001
    Date of Patent: June 4, 2002
    Assignee: Interval Research Corporation
    Inventors: Michele Covell, Malcolm Slaney
  • Publication number: 20020062481
    Abstract: A method for displaying interactive advertisements on a television having a controller connected thereto and configured for receiving input from a viewer of the television is disclosed. The controller has a receiver operable to receive advertisements and a processor operable to modify the advertisements. The method generally comprises requesting action by the viewer of the television, modifying an advertisement based on the action of the viewer, and displaying the modified advertisement on the television.
    Type: Application
    Filed: February 20, 2001
    Publication date: May 23, 2002
    Inventors: Malcolm Slaney, Bonnie Johnson, Annarosa Tomasi, Steven E. Saunders, Tom Ngo, Gavin Miller, Michele M. Covell, Paul Freiberger
  • Publication number: 20010028731
    Abstract: The identification of hidden data, such as feature-based control points in an image, from a set of observable data, such as the image, is achieved through a two-stage approach. The first stage involves a learning process, in which a number of sample data sets, e.g. images, are analyzed to identify the correspondence between observable data, such as visual aspects of the image, and the desired hidden data, such as the control points. Two models are created. A feature appearance-only model is created from aligned examples of the feature in the observed data. In addition, each labeled data set is processed to generate a coupled model of the aligned observed data and the associated hidden data. In the second stage of the process, the modeled feature is located in an unmarked, unaligned data set, using the feature appearance-only model. This location is used as an alignment point and the coupled model is then applied to the aligned data, giving an estimate of the hidden data values for that data set.
    Type: Application
    Filed: February 13, 2001
    Publication date: October 11, 2001
    Inventors: Michele Covell, Malcolm Slaney
  • Patent number: 6173260
    Abstract: The classification of speech according to emotional content employs acoustic measures in addition to pitch as classification input. In one embodiment, two different kinds of features in a speech signal are analyzed for classification purposes. One set of features is based on pitch information that is obtained from a speech signal, and the other set of features is based on changes in the spectral shape of the speech signal over time. This latter feature is used to distinguish long, smoothly varying sounds from quickly changing sound, which may indicate the emotional state of the speaker. These changes are determined by means of a low-dimensional representation of the speech signal, such as MFCC or LPC. Additional features of the speech signal, such as energy, can also be employed for classification purposes. Different variations of pitch and spectral shape features can be measured and analyzed, to assist in the classification of individual utterances.
    Type: Grant
    Filed: March 31, 1998
    Date of Patent: January 9, 2001
    Assignee: Interval Research Corporation
    Inventor: Malcolm Slaney
  • Patent number: 6054646
    Abstract: Arbitrary input sounds are analyzed and the coefficients of a low-dimensional representation, such as LPC or MFCC, are determined as a measure of the timbre of the sounds. The coefficients can be employed in different ways to control output events, such as the generation of synthesized sounds. In one approach, the individual coefficients are mapped to the control parameters of a sound synthesizer, to enable highly complex output sounds to be generated in response to simple input sounds. In another approach, pattern recognition techniques are employed with respect to the coefficients, to classify the input sounds. Each classification is mapped to a control parameter, to cause different events to occur in response to the respective input sounds. In one example, the sounds of different musical instruments are generated in dependence upon the classification of the input sounds. These analysis techniques have low latency, and thereby allow events to be controlled without perceptible delay.
    Type: Grant
    Filed: March 27, 1998
    Date of Patent: April 25, 2000
    Assignee: Interval Research Corporation
    Inventors: Christopher Pal, Malcolm Slaney, Robert L. Adams
  • Patent number: 5749073
    Abstract: In the first step of a sound morphing process, each sound which forms the basis for the morph is converted into one or more quantitative representations, such as spectrograms. After the representations have been obtained, the temporal axes of the two sounds are matched, so that similar components of the two sounds, such as onsets, harmonic regions and inharmonic regions, are aligned with one another. Other characteristics of the sounds, such as pitch, formant frequencies, or the like, are then matched. Once the energy in each of the sounds has been accounted for and matched to that of the other sound, the two sounds are cross-faded, to produce a representation of a new sound. This representation is then inverted, to generate the morphed sound.
    Type: Grant
    Filed: March 15, 1996
    Date of Patent: May 5, 1998
    Assignee: Interval Research Corporation
    Inventor: Malcolm Slaney
  • Patent number: 5473759
    Abstract: A system for reconstructing a signal waveform from a correlogram is based upon the recognition that the information in each channel of the correlogram is equivalent to the magnitude of the Fourier transform of a signal. By estimating a signal on the basis of its Short-Time Fourier Transform Magnitude, each channel of information from a cochlear model can be reconstructed. Once this information is retrieved, a signal waveform can be resynthesized through inversion of the cochlear model. The process for reconstructing the cochlear model data can be optimized with the use of techniques for improving the initial estimate of the signal from the magnitude of its Fourier Transform, and by employing information that is known apriori about the signal during the estimation process, such as the characteristics of sound signals.
    Type: Grant
    Filed: February 22, 1993
    Date of Patent: December 5, 1995
    Assignee: Apple Computer, Inc.
    Inventors: Malcolm Slaney, Richard F. Lyon, Daniel Naar