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008			230204s2013 sz | s |||| 0|eng d
020			_a9783031015212
024	7		_a10.1007/978-3-031-01521-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK7882.S65 _b2013 EB
100	1		_aBerisha, Visar _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686558
245	1	0	_aBandwidth Extension of Speech Using Perceptual Criteria _cby Visar Berisha, Steven Sandoval, Julie Liss
250			_a1st edition 2013
264		1	_aCham _bSpringer International Publishing _c2013
300			_a1 recurso en línea (XI, 71 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Algorithms and Software in Engineering _x1938-1735
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.
988			_aSynthesis Collection of Technology_2013
650		7	_2embne _9147323 _aReconocimiento automático del lenguaje
650		7	_2embne _9161180 _aRedes de banda ancha
650		7	_2embne _9138188 _aAudición
700	1		_aSandoval, Steven, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686559 _d1984-
700	1		_aLiss, Julie Marie _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686560
776	0	8	_iPrinted edition: _z9783031003936
776	0	8	_iPrinted edition: _z9783031026492
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01521-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eIG _zSI