Daniel J. Sinder - San Diego CA, US Ananthapadmanabhan Aasanipalai Kandhadai - San Diego CA, US
Assignee:
QUALCOMM Incorporated - San Diego CA
International Classification:
G10L 19/14 G10L 11/00 G06F 15/00 G10L 19/02
US Classification:
704225, 704200, 704203
Abstract:
A speech converter in a speech processing system modifies various aspects of input speech. The speech converter receives a formants signal representing an input speech signal. The speech converter may also receive a formant scaling command or a user selection of one of multiple control signals, each specifying a manner of modifying one or more of the received signals (i. e. , formants, voicing, pitch, gain). The speech converter modifies at least one of the formants, voicing, pitch, and/or gain signals as specified by the selected voice font.
Systems And Methods For Preventing The Loss Of Information Within A Speech Frame
Zheng Fang - San Diego CA, US Daniel J. Sinder - San Diego CA, US Ananthapadmanabhan A. Kandhadai - San Diego CA, US
Assignee:
QUALCOMM Incorporated - San Diego CA
International Classification:
G10L 19/00
US Classification:
704219
Abstract:
A method for preventing the loss of information within a speech frame is described. A first speech frame to be encoded is selected. A determination is made as to whether or not a second speech frame is a critical speech frame based on the information within the second speech frame and one or more adjacent speech frames. At least a part of an encoded version of the second speech frame is created according to a selected forward error correction (FEC) mode if the second speech frame is a critical speech frame. The first speech frame and the at least a part of the encoded version of the second speech frame are transmitted.
Systems And Methods For Reconstructing An Erased Speech Frame
Zheng Fang - San Diego CA, US Daniel J. Sinder - San Diego CA, US Ananthapadmanabhan A. Kandhadai - San Diego CA, US
Assignee:
QUALCOMM Incorporated - San Diego CA
International Classification:
G10L 21/02
US Classification:
704226
Abstract:
A method for reconstructing an erased speech frame is described. A second speech frame is received from a buffer. The index position of the second speech frame is greater than the index position of the erased speech frame. The type of packet loss concealment (PLC) method to use is determined based on one or both of the second speech frame and a third speech frame. The index position of the third speech frame is less than the index position of the erased speech frame. The erased speech frame is reconstructed from one or both of the second speech frame and the third speech frame.
Determining An Upperband Signal From A Narrowband Signal
Venkatesh Krishnan - San Diego CA, US Daniel J. Sinder - San Diego CA, US Ananthapadmanabhan Arasanipalai Kandhadai - San Diego CA, US
Assignee:
QUALCOMM Incorporated - San Diego CA
International Classification:
G10L 19/00 G10L 19/14 G10L 19/12
US Classification:
704219, 704205, 704221, 704501
Abstract:
A method for determining an upperband speech signal from a narrowband speech signal is disclosed. A list of narrowband line spectral frequencies (LSFs) is determined from the narrowband speech signal. A first pair of adjacent narrowband LSFs that have a lower difference between them than every other pair of adjacent narrowband LSFs in the list is determined. A first feature that is a mean of the first pair of adjacent narrowband LSFs is determined. Upperband LSFs are determined based on at least the first feature using codebook mapping.
Systems, Methods, Apparatus, And Computer Program Products For Wideband Speech Coding
Dai Yang - San Diego CA, US Daniel J. Sinder - San Diego CA, US
Assignee:
Qualcomm Incorporated - San Diego CA
International Classification:
G10L 19/14
US Classification:
704205, 704500, 704501
Abstract:
Methods of audio coding are described in which an excitation signal for a first frequency band of the audio signal is used to calculate an excitation signal for a second frequency band of the audio signal that is separated from the first frequency band.
Methods And Apparatus For Automatic Training Using Natural Language Techniques For Analysis Of Queries Presented To A Trainee And Responses From The Trainee
Wu Chou - Basking Ridge NJ, US George Erhart - Pataskala OH, US Valentine Matula - Granville OH, US Daniel Sinder - Caldwell NJ, US
Assignee:
Avaya Inc. - Holmdel NJ
International Classification:
G06F017/28
US Classification:
704/002000
Abstract:
Techniques for training a call center operator trainee are described. A database contains queries including caller speech providing information to be used in routing a call. Each query is associated with an operator response as well as numerical values produced by analyzing the query and the operator response. A training module presents a query to a trainee and receives the trainee response. The training module compares the trainee response to one or more of the numerical values in the database to determine if the trainee response is consistent with the correct destination for the call. If the trainee response is not consistent with the correct destination, the training module provides guidance to assist the trainee in associating the query with the correct destination.
Using Quantized Prediction Memory During Fast Recovery Coding
Zheng Fang - San Diego CA, US Daniel J. Sinder - San Diego CA, US
Assignee:
QUALCOMM Incorporated - San Diego CA
International Classification:
H04L 27/00
US Classification:
375295
Abstract:
A method for quantizing prediction memory during fast recovery coding is disclosed. A best shape vector that describes prediction memory for a current frame is quantized. It is determined whether to send the quantized best shape vector. The quantized best shape vector is sent based on the determination. An encoded current frame is sent.
Devices For Encoding And Decoding A Watermarked Signal
Stephane Pierre Villette - San Diego CA, US Daniel J. Sinder - San Diego CA, US
Assignee:
QUALCOMM Incorporated - San Diego CA
International Classification:
G10L 21/00
US Classification:
704270, 704E2102
Abstract:
An electronic device configured for encoding a watermarked signal is described. The electronic device includes modeler circuitry. The modeler circuitry determines parameters based on a first signal and a first-pass coded signal. The electronic device also includes coder circuitry coupled to the modeler circuitry. The coder circuitry performs a first-pass coding on a second signal to obtain the first-pass coded signal and performs a second-pass coding based on the parameters to obtain a watermarked signal.
Resumes
Senior Director, Engineering, Multimedia R And D And Standards
Qualcomm Inc since Nov 2004
Director of Engineering, QCT Multimedia R&D and Standards
Avaya Inc Jan 2001 - Aug 2003
Research Scientist
MIT Lincoln Laboratory Aug 1999 - Dec 2000
Technical Staff
Rutgers University Jun 1994 - Jun 1999
Graduate Assistant
Education:
Rutgers, The State University of New Jersey-New Brunswick 1994 - 1999
Ph.D., Electrical and Computer Engineering
Purdue University 1992 - 1993
M.S.E.E., Electrical Engineering
Cornell University 1988 - 1992
B.S., Electrical Engineering
Skills:
Digital Signal Processors Signal Processing Embedded Systems Algorithms Speech Recognition Speech Processing Speech Coding Electrical Engineering Technical Leadership Speech Enhancement Ieee Dsp Computer Engineering Communication Systems Cdma Interoperability Cellular Speech Synthesis Tts Mobile Communications Voice Services Mobile Telephony Cellular Communications Voip Mobile Voip Ip Multimedia Subsystem 3Gpp Engineering Management
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