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Speech Technology Progress Based on New Machine Learning Paradigm
المؤلفون المشاركون
Sečujski, Milan
Delić, Vlado
Perić, Zoran
Jakovljević, Nikša
Nikolić, Jelena
Mišković, Dragiša
Simić, Nikola
Suzić, Siniša
Delić, Tijana
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-19، 19ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-06-25
دولة النشر
مصر
عدد الصفحات
19
التخصصات الرئيسية
الملخص EN
Speech technologies have been developed for decades as a typical signal processing area, while the last decade has brought a huge progress based on new machine learning paradigms.
Owing not only to their intrinsic complexity but also to their relation with cognitive sciences, speech technologies are now viewed as a prime example of interdisciplinary knowledge area.
This review article on speech signal analysis and processing, corresponding machine learning algorithms, and applied computational intelligence aims to give an insight into several fields, covering speech production and auditory perception, cognitive aspects of speech communication and language understanding, both speech recognition and text-to-speech synthesis in more details, and consequently the main directions in development of spoken dialogue systems.
Additionally, the article discusses the concepts and recent advances in speech signal compression, coding, and transmission, including cognitive speech coding.
To conclude, the main intention of this article is to highlight recent achievements and challenges based on new machine learning paradigms that, over the last decade, had an immense impact in the field of speech signal processing.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Delić, Vlado& Perić, Zoran& Sečujski, Milan& Jakovljević, Nikša& Nikolić, Jelena& Mišković, Dragiša…[et al.]. 2019. Speech Technology Progress Based on New Machine Learning Paradigm. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1129457
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Delić, Vlado…[et al.]. Speech Technology Progress Based on New Machine Learning Paradigm. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-19.
https://search.emarefa.net/detail/BIM-1129457
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Delić, Vlado& Perić, Zoran& Sečujski, Milan& Jakovljević, Nikša& Nikolić, Jelena& Mišković, Dragiša…[et al.]. Speech Technology Progress Based on New Machine Learning Paradigm. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1129457
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1129457
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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