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008			220601s2013 sz | s |||| 0|eng d
020			_a9783031025648
024	7		_a10.1007/978-3-031-02564-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK7882.S65 _b2013 EB
100	1		_aHendriks, Richard C. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687754 _q(Richard Christian)
245	1	0	_aDFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement _cby Richard C. Hendriks, Timo Gerkmann, Jesper Jensen.
250			_a1st edition 2013
264		1	_aCham _bSpringer International Publishing _c2013
300			_a1 recurso en línea (XII, 70 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Speech and Audio Processing _x1932-1678
505	0		_aIntroduction -- Single Channel Speech Enhancement: General Principles -- DFT-Based Speech Enhancement Methods: Signal Model and Notation -- Speech DFT Estimators -- Speech Presence Probability Estimation -- Noise PSD Estimation -- Speech PSD Estimation -- Performance Evaluation Methods -- Simulation Experiments with Single-Channel Enhancement Systems -- Future Directions.
520			_aAs speech processing devices like mobile phones, voice controlled devices, and hearing aids have increased in popularity, people expect them to work anywhere and at any time without user intervention. However, the presence of acoustical disturbances limits the use of these applications, degrades their performance, or causes the user difficulties in understanding the conversation or appreciating the device. A common way to reduce the effects of such disturbances is through the use of single-microphone noise reduction algorithms for speech enhancement. The field of single-microphone noise reduction for speech enhancement comprises a history of more than 30 years of research. In this survey, we wish to demonstrate the significant advances that have been made during the last decade in the field of discrete Fourier transform domain-based single-channel noise reduction for speech enhancement.Furthermore, our goal is to provide a concise description of a state-of-the-art speech enhancement system, and demonstrate the relative importance of the various building blocks of such a system. This allows the non-expert DSP practitioner to judge the relevance of each building block and to implement a close-to-optimal enhancement system for the particular application at hand. Table of Contents: Introduction / Single Channel Speech Enhancement: General Principles / DFT-Based Speech Enhancement Methods: Signal Model and Notation / Speech DFT Estimators / Speech Presence Probability Estimation / Noise PSD Estimation / Speech PSD Estimation / Performance Evaluation Methods / Simulation Experiments with Single-Channel Enhancement Systems / Future Directions.
988			_aSynthesis Collection of Technology_2013
650		7	_2embne _9147323 _aReconocimiento automático del lenguaje
650		7	_2embne _9144675 _aFourier, Transformaciones de
700	1		_aGerkmann, Timo _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687753
700			_aJensen, Jesper R. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9101054
776	0	8	_iPrinted edition: _z9783031014369
776	0	8	_iPrinted edition: _z9783031036927
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02564-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _esc _zSI