• Media type: E-Book
  • Title: Bandwidth extension of speech using perceptual criteria
  • Contributor: Berisha, Visar [Other]; Sandoval, Steven [Other]; Liss, Julie [Other]
  • imprint: San Rafael, California <1537 Fourth Street, San Rafael, CA 94901 USA>: Morgan & Claypool, 2013
    Online-Ausg.
  • Published in: Synthesis lectures on algorithms and software in engineering ; 13
  • Extent: Online Ressource (1 PDF (xi, 71 pages)); illustrations
  • Language: English
  • ISBN: 9781627053143
  • Keywords: Compression (Audiology) ; Compressed speech ; Speech perception ; Psychoacoustics
  • Type of reproduction: Online-Ausg.
  • Origination:
  • Footnote: Part of: Synthesis digital library of engineering and computer science. - Series from website. - Includes bibliographical references (pages 61-69). - Compendex. INSPEC. Google scholar. Google book search. - Title from PDF title page (viewed on December 20, 2013)
    System requirements: Adobe Acrobat Reader
  • Description: Bandwidth extension of speech is used in the International Telecommunication Union G.729.1 standard in which the narrowband bitstream is combined with quantized high-band parameters. Although this system produces high-quality wideband speech, the additional bits used to represent the high band can be further reduced. In addition to the algorithm used in the G.729.1 standard, bandwidth extension methods based on spectrum prediction have also been proposed. Although these algorithms do not require additional bits, they perform poorly when the correlation between the low and the high band is weak. In this book, two wideband speech coding algorithms that rely on bandwidth extension are developed. The algorithms operate as wrappers around existing narrowband compression schemes. More specifically, in these algorithms, the low band is encoded using an existing toll-quality narrowband system, whereas the high band is generated using the proposed extension techniques. The first method relies only on transmitted high-band information to generate the wideband speech. The second algorithm uses a constrained minimum mean square error estimator that combines transmitted high-band envelope information with a predictive scheme driven by narrowband features. Both algorithms make use of novel perceptual models based on loudness that determine optimum quantization strategies for wideband recovery and synthesis. Objective and subjective evaluations reveal that the proposed system performs at a lower average bit rate while improving speech quality when compared to other similar algorithms