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Multiplexed predictive coding of speech

Andersen, Sören Vang LU and Kubin, G (2001) IEEE International Conference on Acoustics, Speech, and Signal Processing, 2001 In 2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING - VOL IV: SIGNAL PROCESSING FOR COMMUNICATIONS; VOL V: SIGNAL PROCESSING EDUCATION SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO & ELECTROACOUSTICS; VOL VI: SIGNAL PROCESSING THEORY & METHODS STUDENT FORUM p.741-744
Abstract
In this paper we present a novel method for predictive coding with application to transmission of speech over packet-switched networks. Our method uses multiplexing to distribute a part of the information about a segment of each speech signal in several data packets while keeping the data packet rate and payload for that part of the information unchanged. We investigate three multiplexing schemes: a packet hopping, a Hadamard multiplexing, and an extension of the Hadamard multiplexing that exploits a nonlinear preprocessing and estimation method. We show by means of formal AB-preference tests that multiplexed predictive coding can lead to coders that are more robust to packet losses than scalar quantization and packet loss concealment... (More)
In this paper we present a novel method for predictive coding with application to transmission of speech over packet-switched networks. Our method uses multiplexing to distribute a part of the information about a segment of each speech signal in several data packets while keeping the data packet rate and payload for that part of the information unchanged. We investigate three multiplexing schemes: a packet hopping, a Hadamard multiplexing, and an extension of the Hadamard multiplexing that exploits a nonlinear preprocessing and estimation method. We show by means of formal AB-preference tests that multiplexed predictive coding can lead to coders that are more robust to packet losses than scalar quantization and packet loss concealment according to the G.711 standard. (Less)
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author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING - VOL IV: SIGNAL PROCESSING FOR COMMUNICATIONS; VOL V: SIGNAL PROCESSING EDUCATION SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO & ELECTROACOUSTICS; VOL VI: SIGNAL PROCESSING THEORY & METHODS STUDENT FORUM
pages
741 - 744
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2001
external identifiers
  • wos:000173806500187
  • scopus:0034843237
ISSN
1520-6149
language
English
LU publication?
no
id
d4397e9f-dc4f-41f9-bc81-af5c7f3bb4b9 (old id 4092583)
date added to LUP
2013-10-17 10:48:22
date last changed
2018-05-29 09:38:07
@inproceedings{d4397e9f-dc4f-41f9-bc81-af5c7f3bb4b9,
  abstract     = {In this paper we present a novel method for predictive coding with application to transmission of speech over packet-switched networks. Our method uses multiplexing to distribute a part of the information about a segment of each speech signal in several data packets while keeping the data packet rate and payload for that part of the information unchanged. We investigate three multiplexing schemes: a packet hopping, a Hadamard multiplexing, and an extension of the Hadamard multiplexing that exploits a nonlinear preprocessing and estimation method. We show by means of formal AB-preference tests that multiplexed predictive coding can lead to coders that are more robust to packet losses than scalar quantization and packet loss concealment according to the G.711 standard.},
  author       = {Andersen, Sören Vang and Kubin, G},
  booktitle    = {2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING - VOL IV: SIGNAL PROCESSING FOR COMMUNICATIONS; VOL V: SIGNAL PROCESSING EDUCATION SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO & ELECTROACOUSTICS; VOL VI: SIGNAL PROCESSING THEORY & METHODS STUDENT FORUM},
  issn         = {1520-6149},
  language     = {eng},
  pages        = {741--744},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Multiplexed predictive coding of speech},
  year         = {2001},
}