Patents by Inventor Kishore Sunkeswari PRAHALLAD

Kishore Sunkeswari PRAHALLAD 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).

  • Unit-selection text-to-speech synthesis based on predicted concatenation parameters
    Patent number: 9934775
    Abstract: Systems and processes for performing unit-selection text-to-speech synthesis are provided. In an example process, text to be converted to speech is received. The text is represented as a sequence of target units. A plurality of candidate speech segments corresponding to the sequence of target units are selected. Predicted statistical parameters of acoustic features associated with the sequence of target units are determined. The predicted statistical parameters of acoustic features are used to determine target costs and concatenation costs associated with the plurality of candidate speech segments. Based on a combined cost determined from the target costs and concatenation costs, a subset of candidate speech segments is selected from the plurality of candidate speech segments. Speech corresponding to the received text is generated using the subset of candidate speech segments.
    Type: Grant
    Filed: September 15, 2016
    Date of Patent: April 3, 2018
    Assignee: Apple Inc.
    Inventors: Tuomo J. Raitio, Kishore Sunkeswari Prahallad, Alistair D. Conkie, Ladan Golipour, David A. Winarsky
  • UNIT-SELECTION TEXT-TO-SPEECH SYNTHESIS BASED ON PREDICTED CONCATENATION PARAMETERS
    Publication number: 20170345411
    Abstract: Systems and processes for performing unit-selection text-to-speech synthesis are provided. In an example process, text to be converted to speech is received. The text is represented as a sequence of target units. A plurality of candidate speech segments corresponding to the sequence of target units are selected. Predicted statistical parameters of acoustic features associated with the sequence of target units are determined. The predicted statistical parameters of acoustic features are used to determine target costs and concatenation costs associated with the plurality of candidate speech segments. Based on a combined cost determined from the target costs and concatenation costs, a subset of candidate speech segments is selected from the plurality of candidate speech segments. Speech corresponding to the received text is generated using the subset of candidate speech segments.
    Type: Application
    Filed: September 15, 2016
    Publication date: November 30, 2017
    Inventors: Tuomo J. RAITIO, Kishore Sunkeswari PRAHALLAD, Alistair D. CONKIE, Ladan GOLIPOUR, David A. WINARSKY