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020			_a9789811032387 _q(electronic bk.)
020			_a9811032386 _q(electronic bk.)
020			_z9789811032370
020			_z9811032378
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050		4	_aTK7895.S65 _bZ446 2017 EB
100	1		_aZheng, Thomas Fang, _eautor
245	1	0	_aRobustness-related issues in speaker recognition _cThomas Fang Zheng, Lantian Li.
264		1	_aSingapore _bSpringer _c[2017]
264		4	_c2017
300			_a1 recurso en línea _bilustraciones
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aSpringerBriefs in Electrical and Computer Engineering. Signal Processing
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas
505	0		_aPreface; Acknowledgements; Contents; 1 Speaker Recognition: Introduction; 1.1 Basic Concepts; 1.2 Development History; 1.3 System Framework; 1.4 Categories; 1.4.1 Identification, Verification, Detection, and Tracking; 1.4.2 Text-Dependent, Text-Independent and Text-Prompted; 1.5 Performance Evaluations; 1.5.1 Evaluation Metrics for Verification or Open-Set Identification; 1.5.2 Evaluation Metrics for Close-Set Identification; References; 2 Environment-Related Robustness Issues; 2.1 Background Noise; 2.1.1 Speech Enhancement; 2.1.2 Feature Compensation; 2.1.3 Robust Modeling.
505	8		_a2.1.4 Score Normalization2.2 Channel Mismatch; 2.2.1 Feature Transformation; 2.2.2 Channel Compensation; 2.2.3 Score Normalization; 2.3 Multiple Speakers; 2.3.1 Robust Features; 2.3.2 Robust Speaker Models; 2.3.3 Segmentation and Clustering Algorithms; 2.4 Discussions; References; 3 Speaker-Related Robustness Issues; 3.1 Genders; 3.2 Physical Conditions; 3.3 Speaking Styles; 3.3.1 Emotion; 3.3.2 Speaking Rate; 3.3.3 Idiom; 3.4 Cross Languages; 3.5 Time Varying; 3.6 Discussion; References; 4 Application-Oriented Robustness Issues; 4.1 Application Scenarios; 4.1.1 User Authentication.
505	8		_a4.1.2 Public Security and Judicature4.1.3 Speaker Adaptation in Speech Recognition; 4.1.4 Multi-speaker Environments; 4.1.5 Personalization; 4.2 Short Utterance; 4.3 Anti-spoofing; 4.3.1 Impersonation; 4.3.2 Speech Synthesis; 4.3.3 Voice Conversion; 4.3.4 Replay; 4.3.5 Voice Liveness Detection; 4.4 Cross Encoding Schemes; 4.5 Discussion; References; 5 Conclusions and Future Work.
520	3		_aThis book presents an overview of speaker recognition technologies with an emphasis on dealing with robustness issues. Firstly, the book gives an overview of speaker recognition, such as the basic system framework, categories under different criteria, performance evaluation and its development history. Secondly, with regard to robustness issues, the book presents three categories, including environment-related issues, speaker-related issues and application-oriented issues. For each category, the book describes the current hot topics, existing technologies, and potential research focuses in the future. The book is a useful reference book and self-learning guide for early researchers working in the field of robust speech recognition.
650		7	_aIdentificación de personas _2embne _0(OCoLC)fst00822769 _0 _9679662
700	1		_aLi, Lantian, _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-981-10-3238-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017C
998			_b02/2018 _dz _e- _zSI
999			_c95781 _d95781 _x1