Artificial Intelligence and Machine Learning

From Digital Culture & Society

Revision as of 11:39, 5 March 2018 (edit) Wb14no (Talk | contribs) (→Acoustic Modeling in Speech Recognition) ← Previous diff		Revision as of 11:41, 5 March 2018 (edit) (undo) Wb14no (Talk | contribs) (→Acoustic Modeling in Speech Recognition) Next diff →
Line 5:		Line 5:
	===Acoustic Modeling in Speech Recognition===		===Acoustic Modeling in Speech Recognition===
-	''Speech recognition software has become faster, more accurate, and as a result more prevalent. The technology is literally everywhere, constantly following consumers through their phones, cars, watches, and every other smart technology they've integrated into their lives. These articles will explore how computers are increasingly capable of understanding human language in context, thinking for itself and learning in the human language, as well as answering complex questions in the human language.	+	''Speech recognition software has become faster, more accurate, and as a result more prevalent. The technology is literally everywhere, constantly following consumers through their phones, cars, watches, and every other smart technology they've integrated into their lives. These articles will explore how computers are increasingly capable of understanding human language in context, thinking and learning in human language, and answering complex questions in human language.
	====Articles====		====Articles====

---

Revision as of 11:41, 5 March 2018

Contents 1 About This Subject 2 Topics 2.1 Acoustic Modeling in Speech Recognition 2.1.1 Articles 2.1.2 Books 2.2 Topic 2 2.2.1 Articles 2.2.2 Books

About This Subject

2-3 paragraph description of the subject area

Topics

Acoustic Modeling in Speech Recognition

Speech recognition software has become faster, more accurate, and as a result more prevalent. The technology is literally everywhere, constantly following consumers through their phones, cars, watches, and every other smart technology they've integrated into their lives. These articles will explore how computers are increasingly capable of understanding human language in context, thinking and learning in human language, and answering complex questions in human language.

Articles

Dahl, G. (2012). Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups. IEEE Signal Processing Magazine, 29(6), 82-97.

Books

Author, A. A. (2018). Title of work: Capital letter also for subtitle.

Topic 2

2-3 sentence description of the topic

Articles

Author, A. A. (2018). Title of article.

Books

Author, A. A. (2018). Title of work: Capital letter also for subtitle.