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020			_a9783030914790
024	7		_a10.1007/978-3-030-91479-0 _2doi
040			_aTR-AnTOB _beng _erda _cTR-AnTOB
041			_aeng
050		4	_aQ325.73
072		7	_aTJF _2bicssc
072		7	_aUYS _2bicssc
072		7	_aTEC008000 _2bisacsh
072		7	_aTJF _2thema
072		7	_aUYS _2thema
090			_aQ325.73EBK
100	1		_aMittag, Gabriel. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aDeep Learning Based Speech Quality Prediction _h[electronic resource] / _cby Gabriel Mittag.
250			_a1st ed. 2022.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aT-Labs Series in Telecommunication Services, _x2192-2829
505	0		_a1. Introduction -- 2. Quality Assessment of Transmitted Speech -- 3. Neural Network Architectures for Speech Quality Prediction -- 4. Double-Ended Speech Quality Prediction Using Siamese Networks -- 5. Prediction of Speech Quality Dimensions With Multi-Task Learning -- 6. Bias-Aware Loss for Training From Multiple Datasets -- 7. NISQA – A Single-Ended Speech Quality Model -- 8. Conclusions -- A. Dataset Condition Tables -- B. Train and Validation Dataset Dimension Histograms -- References.
520			_aThis book presents how to apply recent machine learning (deep learning) methods for the task of speech quality prediction. The author shows how recent advancements in machine learning can be leveraged for the task of speech quality prediction and provides an in-depth analysis of the suitability of different deep learning architectures for this task. The author then shows how the resulting model outperforms traditional speech quality models and provides additional information about the cause of a quality impairment through the prediction of the speech quality dimensions of noisiness, coloration, discontinuity, and loudness.
650		0	_aSignal processing.
650		0	_aUser interfaces (Computer systems).
650		0	_aHuman-computer interaction.
650		0	_aNatural language processing (Computer science).
650		0	_aAcoustical engineering.
650	1	4	_aDigital and Analog Signal Processing.
650	2	4	_aUser Interfaces and Human Computer Interaction.
650	2	4	_aNatural Language Processing (NLP).
650	2	4	_aEngineering Acoustics.
653		0	_aDeep learning (Machine learning)
653		0	_aSpeech processing systems
710	2		_aSpringerLink (Online service)
830		0	_aT-Labs Series in Telecommunication Services, _x2192-2829
856	4	0	_uhttps://doi.org/10.1007/978-3-030-91479-0 _3Springer eBooks _zOnline access link to the resource
942			_2lcc _cEBK