| 000 | 03762nam a22005055i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-01521-2 | ||
| 003 | DE-He213 | ||
| 005 | 20240730163621.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220601s2013 sz | s |||| 0|eng d | ||
| 020 |
_a9783031015212 _9978-3-031-01521-2 |
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| 024 | 7 |
_a10.1007/978-3-031-01521-2 _2doi |
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| 050 | 4 | _aTK5102.9 | |
| 072 | 7 |
_aTJF _2bicssc |
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_aUYS _2thema |
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_a621,382 _223 |
| 100 | 1 |
_aBerisha, Visar. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979531 |
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| 245 | 1 | 0 |
_aBandwidth Extension of Speech Using Perceptual Criteria _h[electronic resource] / _cby Visar Berisha, Steven Sandoval, Julie Liss. |
| 250 | _a1st ed. 2013. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2013. |
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| 300 |
_aXI, 71 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSynthesis Lectures on Algorithms and Software in Engineering, _x1938-1735 |
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| 505 | 0 | _aAcknowledgments -- Figure Credits -- Introduction -- Principles of Bandwidth Extension -- Psychoacoustics -- Bandwidth Extension Using Spline Fitting -- Summary -- Notation -- Bibliography -- Authors' Biographies. | |
| 520 | _aBandwidth 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. | ||
| 650 | 0 |
_aSignal processing. _94052 |
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| 650 | 1 | 4 |
_aSignal, Speech and Image Processing. _931566 |
| 700 | 1 |
_aSandoval, Steven. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979532 |
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| 700 | 1 |
_aLiss, Julie. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979533 |
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| 710 | 2 |
_aSpringerLink (Online service) _979534 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031003936 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031026492 |
| 830 | 0 |
_aSynthesis Lectures on Algorithms and Software in Engineering, _x1938-1735 _979535 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01521-2 |
| 912 | _aZDB-2-SXSC | ||
| 942 | _cEBK | ||
| 999 |
_c84795 _d84795 |
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