{"product_id":"machine-learning-for-speaker-recognition-hardback-9781108428125","title":"Machine Learning for Speaker Recognition (Hardback) 9781108428125","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eMachine Learning for Speaker Recognition\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eLearn fundamental and advanced machine learning techniques for robust speaker recognition and domain adaptation with this useful toolkit.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eMan-Wai Mak (Author), Jen-Tzung Chien (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781108428125, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 19 November 2020\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e334 pages, 133 b\/w illus.  4 tables\u003cbr\u003e25 x 17.7 x 1.9 cm, 0.76 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e'The topical coverage is spot-on, and the text discusses many key algorithms that support statistical learning approaches, including hybrid models, deep learning classification, and generative methods. In addition, the authors provide a deep mathematical exploration into versions of algorithms, optimization approaches, and domain adaptation statistics within the context of signal processing. The extensive diagrams, linear algebra notation, and mathematical calculus machinery will support developers who are building new implementations or need to look under the hood of existing systems. Highly Recommended.' J. Brzezinski, Choice\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eThis book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition and domain adaptation. This useful toolkit enables readers to apply machine learning techniques to address practical issues, such as robustness under adverse acoustic environments and domain mismatch, when deploying speaker recognition systems. Presenting state-of-the-art machine learning techniques for speaker recognition and featuring a range of probabilistic models, learning algorithms, case studies, and new trends and directions for speaker recognition based on modern machine learning and deep learning, this is the perfect resource for graduates, researchers, practitioners and engineers in electrical engineering, computer science and applied mathematics.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePart I. Fundamental Theories: 1. Introduction\u003cbr\u003e 2. Learning algorithms\u003cbr\u003e 3. Machine learning models\u003cbr\u003e Part II. Advanced Studies: 4. Deep learning models\u003cbr\u003e 5. Robust speaker verification\u003cbr\u003e 6. Domain adaptation\u003cbr\u003e 7. Dimension reduction and data augmentation\u003cbr\u003e 8. Future direction\u003cbr\u003e Index.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Machine learning [\u003ca title=\"See our other books on Machine learning\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Machine%20learning%20%5BUYQM%5D%22\"\u003eUYQM\u003c\/a\u003e], Natural language \u0026amp; machine translation [\u003ca title=\"See our other books on Natural language \u0026amp; machine translation\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Natural%20language%20\u0026amp;%20machine%20translation%20%5BUYQL%5D%22\"\u003eUYQL\u003c\/a\u003e], Mathematical \u0026amp; statistical software [\u003ca title=\"See our other books on Mathematical \u0026amp; statistical software\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematical%20\u0026amp;%20statistical%20software%20%5BUFM%5D%22\"\u003eUFM\u003c\/a\u003e], Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e], Applied mathematics [\u003ca title=\"See our other books on Applied mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Applied%20mathematics%20%5BPBW%5D%22\"\u003ePBW\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":46266274447640,"sku":"9781108428125","price":74.56,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9781108428125i.jpg?v=1696699789","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/machine-learning-for-speaker-recognition-hardback-9781108428125","provider":"Freshly Printed Books","version":"1.0","type":"link"}