Patents by Inventor Milind V. Mahajan

Milind V. Mahajan 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: 9980016
    Abstract: Embodiments of a computer-implemented advertisement display system are disclosed. In one embodiment, the system includes a speech recognition component that processes a video clip and produces a corresponding collection of speech recognition data indicative of an audio portion of the video clip. The system also includes a collection of advertising material. An advertisement selection component selects an advertisement from the collection of advertising material based on the corresponding collection of speech recognition data. The system also includes a display. An advertisement presentation component displays an indication of the selected advertisement on the display during a simultaneous display of the video clip.
    Type: Grant
    Filed: April 30, 2012
    Date of Patent: May 22, 2018
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Arungunram C. Surendran, Patrick Nguyen, Milind V. Mahajan
  • Patent number: 8909546
    Abstract: The claimed subject matter relates to an architecture that can mitigate privacy concerns in connection with ad targeting or data collection. In particular, architecture can be included in a personal mobile communication device such as a cell phone. During communication transactions between the host device and a peer device, shared information can be extracted either from content included in the communication or from metadata. Based upon the shared information, a social graph maintained on the host device can be updated. In addition, the host device can receive a large set of ads and select or tailor a custom ad from the set based upon the social graph.
    Type: Grant
    Filed: June 26, 2009
    Date of Patent: December 9, 2014
    Assignee: Microsoft Corporation
    Inventors: Eric J. Horvitz, Brett D. Brewer, Mary P. Czerwinski, Melissa W. Dunn, Karim T. Farouki, Jason Garms, Alexander G. Gounares, Milind V. Mahajan, Jayaram NM Nanduri, Timothy D. Sharpe, Darrell Leroy Blegen
  • Patent number: 8874086
    Abstract: Described is a technology by which a communications identifier such as a telephone number is used in selecting relevant content (e.g., an advertisement) for outputting as audible and/or visible information to a destination device. The communications identifier is used like a search term/keyword to determine content relevant to that identifier. A telephone number may be the identifier, selected based on a partially-dialed or actually dialed number, or a user's current scrolling position among listed telephone numbers. A telephone number of an incoming call may be used as the identifier. Profile data and/or state data may be used in selecting relevant content. Some of the profile data may be mined based on previous user activities. In one example, the content may be provided via a remote source of the content, and used immediately or cached for later use (e.g., output).
    Type: Grant
    Filed: February 7, 2008
    Date of Patent: October 28, 2014
    Assignee: Microsoft Corporation
    Inventors: Xuedong Huang, Milind V. Mahajan, Abhiram G. Khune
  • Patent number: 8442828
    Abstract: A conditional model is used in spoken language understanding. One such model is a conditional random field model.
    Type: Grant
    Filed: March 17, 2006
    Date of Patent: May 14, 2013
    Assignee: Microsoft Corporation
    Inventors: Ye-Yi Wang, Alejandro Acero, John Sie Yuen Lee, Milind V. Mahajan
  • Publication number: 20120215630
    Abstract: Embodiments of a computer-implemented advertisement display system are disclosed. In one embodiment, the system includes a speech recognition component that processes a video clip and produces a corresponding collection of speech recognition data indicative of an audio portion of the video clip. The system also includes a collection of advertising material. An advertisement selection component selects an advertisement from the collection of advertising material based on the corresponding collection of speech recognition data. The system also includes a display. An advertisement presentation component displays an indication of the selected advertisement on the display during a simultaneous display of the video clip.
    Type: Application
    Filed: April 30, 2012
    Publication date: August 23, 2012
    Applicant: MICROSOFT CORPORATION
    Inventors: Arungunram C. Surendran, Patrick Nguyen, Milind V. Mahajan
  • Patent number: 8190479
    Abstract: Embodiments of a computer-implemented advertisement display system are disclosed. In one embodiment, the system includes a speech recognition component that processes a video clip and produces a corresponding collection of speech recognition data indicative of an audio portion of the video clip. The system also includes a collection of advertising material. An advertisement selection component selects an advertisement from the collection of advertising material based on the corresponding collection of speech recognition data. The system also includes a display. An advertisement presentation component displays an indication of the selected advertisement on the display during a simultaneous display of the video clip.
    Type: Grant
    Filed: June 6, 2008
    Date of Patent: May 29, 2012
    Assignee: Microsoft Corporation
    Inventors: Arungunram C. Surendran, Patrick Nguyen, Milind V. Mahajan
  • Patent number: 8165870
    Abstract: The method and apparatus utilize a filter to remove a variety of non-dictated words from data based on probability and improve the effectiveness of creating a language model.
    Type: Grant
    Filed: February 10, 2005
    Date of Patent: April 24, 2012
    Assignee: Microsoft Corporation
    Inventors: Alejandro Acero, Dong Yu, Julian J. Odell, Milind V. Mahajan, Peter K. L. Mau
  • Patent number: 7941316
    Abstract: A method of entering information into a mobile device includes receiving a multi-word speech input from a user, performing speech recognition on the speech input to obtain a multi-word speech recognition result, and sequentially displaying, in a display, words in the speech recognition result for user confirmation or correction, by adding one word at a time to the display. A next word is only displayed after user confirmation or correct has been received for a previously displayed word that is immediately preceding the next word in the speech recognition result. The method also includes calculating a hypothesis lattice indicative of a plurality of speech recognition hypotheses based on the speech input and, prior to finishing calculating the hypothesis lattice and while continuing to calculate the hypothesis lattice, calculating a preliminary hypothesis lattice indicative of only partial speech recognition hypotheses based on the speech input and outputting the preliminary hypotheses lattice.
    Type: Grant
    Filed: October 28, 2005
    Date of Patent: May 10, 2011
    Assignee: Microsoft Corporation
    Inventors: Milind V. Mahajan, Alejandro Acero, Bo-June Hsu
  • Patent number: 7885812
    Abstract: Parameters for a feature extractor and acoustic model of a speech recognition module are trained. An objective function is utilized to determine values for the feature extractor parameters and the acoustic model parameters.
    Type: Grant
    Filed: November 15, 2006
    Date of Patent: February 8, 2011
    Assignee: Microsoft Corporation
    Inventors: Alejandro Acero, James G. Droppo, Milind V. Mahajan
  • Publication number: 20110025816
    Abstract: The claimed subject matter provides systems and/or methods that effectuate distribution of advertising as real-time video calls. The system can include devices that detect whether or not a mobile device associated with a user is in the vicinity of a retail establishment, ascertains whether or not the proximate mobile device is receptive to receipt of advertising from the retail establishment, negotiates with the mobile device to determine at least one user preference with respect to a real-time video call, and based on the ascertained user preferences, downloads the appropriate real-time video call to the mobile device and/or establishes a live audio-visual connection with a representative of the retail establishment, wherein during the live audio-visual connection negotiations between the user and the representative is effectuated and the user comprehends that they are communicating with a famous personality.
    Type: Application
    Filed: July 31, 2009
    Publication date: February 3, 2011
    Applicant: MICROSOFT CORPORATION
    Inventors: Brett D. Brewer, Melissa W. Dunn, Milind V. Mahajan
  • Patent number: 7689419
    Abstract: A method and apparatus are provided for training parameters in a hidden conditional random field model for use in speech recognition and phonetic classification. The hidden conditional random field model uses parameterized features that are determined from a segment of speech, and those values are used to identify a phonetic unit for the segment of speech. The parameters are updated after processing of individual training samples.
    Type: Grant
    Filed: September 22, 2005
    Date of Patent: March 30, 2010
    Assignee: Microsoft Corporation
    Inventors: Milind V. Mahajan, Alejandro Acero, Asela J. Gunawardana, John C. Platt
  • Publication number: 20090265242
    Abstract: The claimed subject matter relates to an architecture that can mitigate privacy concerns in connection with ad targeting or data collection. In particular, architecture can be included in a personal mobile communication device such as a cell phone. During communication transactions between the host device and a peer device, shared information can be extracted either from content included in the communication or from metadata. Based upon the shared information, a social graph maintained on the host device can be updated. In addition, the host device can receive a large set of ads and select or tailor a custom ad from the set based upon the social graph.
    Type: Application
    Filed: June 26, 2009
    Publication date: October 22, 2009
    Applicant: MICROSOFT CORPORATION
    Inventors: Eric J. Horvitz, Brett D. Brewer, Mary P. Czerwinski, Melissa W. Dunn, Karim T. Farouki, Jason Garms, Alexander G. Gounares, Milind V. Mahajan, Jayaram NM. Nanduri, Timothy D. Sharpe, Darrell Leroy Blegen
  • Publication number: 20090203361
    Abstract: Described is a technology by which a communications identifier such as a telephone number is used in selecting relevant content (e.g., an advertisement) for outputting as audible and/or visible information to a destination device. The communications identifier is used like a search term/keyword to determine content relevant to that identifier. A telephone number may be the identifier, selected based on a partially-dialed or actually dialed number, or a user's current scrolling position among listed telephone numbers. A telephone number of an incoming call may be used as the identifier. Profile data and/or state data may be used in selecting relevant content. Some of the profile data may be mined based on previous user activities. In one example, the content may be provided via a remote source of the content, and used immediately or cached for later use (e.g., output).
    Type: Application
    Filed: February 7, 2008
    Publication date: August 13, 2009
    Applicant: MICROSOFT CORPORATION
    Inventors: Xuedong Huang, Milind V. Mahajan, Abhiram G. Khune
  • Publication number: 20090199235
    Abstract: Embodiments of a computer-implemented advertisement display system are disclosed. In one embodiment, the system includes a speech recognition component that processes a video clip and produces a corresponding collection of speech recognition data indicative of an audio portion of the video clip. The system also includes a collection of advertising material. An advertisement selection component selects an advertisement from the collection of advertising material based on the corresponding collection of speech recognition data. The system also includes a display. An advertisement presentation component displays an indication of the selected advertisement on the display during a simultaneous display of the video clip.
    Type: Application
    Filed: June 6, 2008
    Publication date: August 6, 2009
    Applicant: MICROSOFT CORPORATION
    Inventors: Arungunram C. Surendran, Patrick Nguyen, Milind V. Mahajan
  • Publication number: 20080300872
    Abstract: Providing for browsing a summary of content formed of keywords that can scale to a user-defined level of detail is disclosed herein. Components of a system can include a summarization component that extracts keywords related to the content and associates the keywords with portions thereof, and a zooming component that displays a number of keywords based on a keyword/keyphrase relevance rank and a zoom factor. Additionally, a speech to text component can translate speech associated with the content into text, wherein the keywords are extracted from the translated text. Consequently, the claimed subject matter can present a variable hierarchy of keywords to form a scalable summary of such recorded content.
    Type: Application
    Filed: May 31, 2007
    Publication date: December 4, 2008
    Applicant: MICROSOFT CORPORATION
    Inventors: Sumit Basu, Surabhi Gupta, John C. Platt, Patrick Nguyen, Milind V. Mahajan
  • Publication number: 20080114596
    Abstract: Parameters for a feature extractor and acoustic model of a speech recognition module are trained. An objective function is utilized to determine values for the feature extractor parameters and the acoustic model parameters.
    Type: Application
    Filed: November 15, 2006
    Publication date: May 15, 2008
    Applicant: Microsoft Corporation
    Inventors: Alejandro Acero, James G. Droppo, Milind V. Mahajan
  • Patent number: 7286978
    Abstract: A method for creating a language model from a task-independent corpus is provided. In one embodiment, a task dependent unified language model is created. The unified language model includes a plurality of context-free grammars having non-terminals and a hybrid N-gram model having at least some of the same non-terminals embedded therein.
    Type: Grant
    Filed: April 11, 2006
    Date of Patent: October 23, 2007
    Assignee: Microsoft Corporation
    Inventors: Xuedong D. Huang, Milind V. Mahajan, Ye-Yi Wang, Xiaolong Mou
  • Patent number: 7031908
    Abstract: A method for creating a language model from a task-independent corpus is provided. In one embodiment, a task dependent unified language model is created. The unified language model includes a plurality of context-free grammars having non-terminals and a hybrid N-gram model having at least some of the same non-terminals embedded therein.
    Type: Grant
    Filed: June 1, 2000
    Date of Patent: April 18, 2006
    Assignee: Microsoft Corporation
    Inventors: Xuedong D. Huang, Milind V. Mahajan, Ye-Yi Wang, Xiaolong Mou
  • Patent number: 7016830
    Abstract: A language processing system includes a unified language model. The unified language model comprises a plurality of context-free grammars having non-terminal tokens representing semantic or syntactic concepts and terminals, and an N-gram language model having non-terminal tokens. A language processing module capable of receiving an input signal indicative of language accesses the unified language model to recognize the language. The language processing module generates hypotheses for the received language as a function of words of the unified language model and/or provides an output signal indicative of the language and at least some of the semantic or syntactic concepts contained therein.
    Type: Grant
    Filed: December 3, 2004
    Date of Patent: March 21, 2006
    Assignee: Microsoft Corporation
    Inventors: Xuedong D. Huang, Milind V. Mahajan, Ye-Yi Wang, Xiaolong Mou
  • Patent number: 7016838
    Abstract: An unsupervised adaptation method and apparatus are provided that reduce the storage and time requirements associated with adaptation. Under the invention, utterances are converted into feature vectors, which are decoded to produce a transcript and alignment unit boundaries for the utterance. Individual alignment units and the feature vectors associated with those alignment units are then provided to an alignment function, which aligns the feature vectors with the states of each alignment unit. Because the alignment is performed within alignment unit boundaries, fewer feature vectors are used and the time for alignment is reduced. After alignment, the feature vector dimensions aligned to a state are added to dimension sums that are kept for that state. After all the states in an utterance have had their sums updated, the speech signal and the alignment units are deleted. Once sufficient frames of data have been received to perform adaptive training, the acoustic model is adapted.
    Type: Grant
    Filed: November 12, 2004
    Date of Patent: March 21, 2006
    Assignee: Microsoft Corporation
    Inventors: William H. Rockenbeck, Milind V. Mahajan, Fileno A. Alleva