Work Files Saved Searches
   My Account                                                  Search:   Quick/Number   Boolean   Advanced       Help   


 The Delphion Integrated View

  Buy Now:   Buy PDF- 13pp  PDF  |   File History  |   Other choices   
  Tools:  Citation Link  |  Add to Work File:    
  View:  Expand Details   |  INPADOC   |  Jump to: 
 
 Email this to a friend  Email this to a friend 
       
Title: US6009387: System and method of compression/decompressing a speech signal by using split vector quantization and scalar quantization
[ Derwent Title ]


Country: US United States of America

View Images High
Resolution

 Low
 Resolution

 
13 pages

 
Inventor: Ramaswamy, Ganesh Nachiappa; Ossining, NY
Gopalakrishnan, Ponani; Yorktown Heights, NY
Morris, Joseph; Flushing, NY

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
 News, Profiles, Stocks and More about this company

Published / Filed: 1999-12-28 / 1997-03-20

Application Number: US1997000821747

IPC Code: Advanced: G10L 19/04; G10L 19/00;
IPC-7: G10L 3/02;

ECLA Code: G10L19/04;

U.S. Class: Current: 704/222; 704/270; 704/E19.023;
Original: 704/222; 704/270;

Field of Search: 704/221,222,500 348/418 318/422

Priority Number:
1997-03-20  US1997000821747

Abstract:     Apparatus for processing acoustic features extracted from a sample of speech data forming a feature vector signal every frame period includes a first linear prediction analyzer, a vector quantizer, at least one partitioned vector quantizer and a scalar quantizer. The first linear prediction analyzer performs a linear prediction analysis on the feature vector signal to generate a first error vector signal. Next, the vector quantizer performs a vector quantization on the first error signal thereby generating a first index corresponding to a first prestored vector signal which is an approximation of the first error vector signal. The vector quantizer also generates a residual vector signal which is the difference between the first error vector signal and the first prestored approximation vector signal. Next, the at least one partitioned vector quantizer performs a partitioned vector quantization on a first portion of the residual vector signal thereby generating at least one second index corresponding to a second prestored vector signal which is an approximation of the first portion of the residual vector signal. Next, the scalar quantizer performs a scalar quantization on a second portion of the residual vector signal thereby generating a third index corresponding to a prestored scalar signal which is an approximation of the second portion of the residual vector signal. The first, second and third indices are combined to form an encoded vector signal which is a compressed representation of the feature vector signal. The encoded vector signal may be transmitted and/or stored as desired. The feature vector signal may be reconstructed from the encoded vector signal by adding the corresponding prestored signals to the encoded vector signal to form a decompressed representation of the feature vector signal.

Attorney, Agent or Firm: F. Chau & Associates, LLP ;

Primary / Asst. Examiners: Hudspeth, David R.; Sofocleous, M. David

INPADOC Legal Status: Show legal status actions

Family: None

First Claim:
Show all 8 claims
What is claimed is:     1. A stored program device readable by a computer, embodying a program for causing the computer to compress acoustic features extracted from a sample of speech data, forming a feature vector signal, the stored program device comprising:
  • a first linear prediction analyzer having codes causing said computer to perform a first linear prediction analysis on the feature vector signal and to generate a first error vector signal;
  • a vector quantizer having codes causing said computer to perform a vector quantization on the first error vector signal thereby generating a first index; a memory for storing a first prestored vector signal corresponding to said first index, said first prestored vector signal being an approximation of the first error vector signal, the vector quantizer for further generating a residual vector signal which is the difference between the first error vector signal and the first prestored approximation vector signal;
  • at least one partitioned vector quantizer having codes causing said computer to perform a partitioned vector quantization on a first portion of the residual vector signal thereby generating at least one second index which corresponds to a second prestored vector signal which is an approximation of the first portion of the residual vector signal;
  • a scalar quantizer having codes causing said computer to perform a scalar quantization on a second portion of the residual vector signal thereby generating a third index corresponding to a prestored scalar signal which is an approximation of the second portion of the residual vector signal;
  • a combiner module for causing said computer to combine the first, second and third indices to form an encoded vector signal which is a compressed representation of the feature vector signal;
  • means for causing said computer to store or transmit said compressed representation of the feature vector signal; and
  • a primary vector codebook, responsive to the vector quantizer, containing indexed values representing prestored approximation vector signals wherein each indexed value and, thus, each prestored approximation vector signal corresponds to a particular index, wherein the indexed values in the primary vector codebook form a tree-structured arrangement wherein the indexed values are separated into groups with a group mean vector signal being generated and stored from the average of the prestored vector signals within the group such that the vector quantizer first performs an inter-group search to locate the group of indexed values corresponding to the prestored group mean vector signal which most closely approximates the first error vector signal and then performs an intra-group search to locate the indexed value corresponding to the particular prestored vector signal which most closely approximates the first error vector signal, such prestored vector signal serving as the first prestored approximation vector signal.


Background / Summary: Show background / summary

Drawing Descriptions: Show drawing descriptions

Description: Show description

Forward References: Show 43 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (43)   |   Backward references (6)   |   Citation Link

Buy
PDF
Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 23pp US5271089  1993-12 Ozawa  NEC Corporation Speech parameter encoding method capable of transmitting a spectrum parameter at a reduced number of bits
Get PDF - 19pp US5487128  1996-01 Ozawa  NEC Corporation Speech parameter coding method and appparatus
Get PDF - 27pp US5649051  1997-07 Rothweiler et al.   Constant data rate speech encoder for limited bandwidth path
Get PDF - 27pp US5668925  1997-09 Rothweiler et al.  Martin Marietta Corporation Low data rate speech encoder with mixed excitation
Get PDF - 17pp US5673364  1997-09 Bialik  The DSP Group Ltd. System and method for compression and decompression of audio signals
Get PDF - 23pp US5729655  1998-03 Kolesnik et al.  Alaris, Inc. Method and apparatus for speech compression using multi-mode code excited linear predictive coding
       
Foreign References: None

Other Abstract Info: DERABS G2000-115700 DERABS G2000-115700

Other References:
  • Law et al. Split-Dimension Vector Quantization of Parcor Coefficients for Low Bit Rate Speech Coding. IEEE Transactions on Speech and Audio Processing. vol. 2, No. 3, Jul. 1994.
  • Law et al. A Novel Split Resideual Vector Quantization Scheme for Low Bit Rate Speech Coding. Acoustics, Speech and Signal Processing. vol. 1, 1994.
  • Zeger et al. A Parallel Processing Algorithm for Vector Quantizer Design Based on Subpartitioning. Acoustics, Speech and Signal Processing. vol. 2, Jul. 1991.
  • Furui et al. Advances in Speech Signal Processing. 1992. pp. 49-51, 58-77.


  • Inquire Regarding Licensing

    Powered by Verity


    Plaques from Patent Awards      Gallery of Obscure PatentsNominate this for the Gallery...

    Thomson Reuters Copyright © 1997-2014 Thomson Reuters 
    Subscriptions  |  Web Seminars  |  Privacy  |  Terms & Conditions  |  Site Map  |  Contact Us  |  Help