Speech Recognition

Windows 10: Speech Recognition and Cortana Integration  eBooks & eLearning

Posted by naag at Oct. 6, 2017
Windows 10: Speech Recognition and Cortana Integration

Windows 10: Speech Recognition and Cortana Integration
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 17M | 442 MB
Genre: eLearning | Language: English

Automatic Speech Recognition on Mobile Devices and over Communication Networks  eBooks & eLearning

Posted by Willson at July 22, 2017
Automatic Speech Recognition on Mobile Devices and over Communication Networks

Zheng-Hua Tan, Boerge Lindberg, "Automatic Speech Recognition on Mobile Devices and over Communication Networks (Advances in Computer Vision and Pattern Recognition)"
English | 2008 | ISBN: 1848001428, 1849967369 | 402 pages | EPUB | 2.6 MB

Language Modeling for Automatic Speech Recognition of Inflective Languages  eBooks & eLearning

Posted by naag at March 22, 2017
Language Modeling for Automatic Speech Recognition of Inflective Languages

Gregor Donaj, "Language Modeling for Automatic Speech Recognition of Inflective Languages: An Applications-Oriented Approach Using Lexical Data"
2016 | ISBN-10: 3319416057 | 80 pages | EPUB | 0.3 MB
Speech Recognition Using Articulatory and Excitation Source Features (SpringerBriefs in Electrical and Computer Engineering)

Speech Recognition Using Articulatory and Excitation Source Features (SpringerBriefs in Electrical and Computer Engineering) by K. Sreenivasa Rao
English | 2017 | ISBN: 3319492195 | 92 Pages | PDF | 2.49 MB

Automatic Speech Recognition on Mobile Devices and over Communication Networks  eBooks & eLearning

Posted by step778 at Feb. 10, 2017
Automatic Speech Recognition on Mobile Devices and over Communication Networks

Zheng-Hua Tan, Boerge Lindberg, "Automatic Speech Recognition on Mobile Devices and over Communication Networks"
2008 | pages: 404 | ISBN: 1848001428 | PDF | 3,6 mb

Speech Recognition Using Articulatory and Excitation Source Features  eBooks & eLearning

Posted by hill0 at Jan. 15, 2017
Speech Recognition Using Articulatory and Excitation Source Features

Speech Recognition Using Articulatory and Excitation Source Features (SpringerBriefs in Electrical and Computer Engineering) by K. Sreenivasa Rao
English | 28 Jan. 2017 | ISBN: 3319492195 | 106 Pages | PDF | 2.49 MB

This book discusses the contribution of articulatory and excitation source information in discriminating sound units. The authors focus on excitation source component of speech – and the dynamics of various articulators during speech production – for enhancement of speech recognition (SR) performance.
Language Modeling for Automatic Speech Recognition of Inflective Languages (repost)

Gregor Donaj, "Language Modeling for Automatic Speech Recognition of Inflective Languages: An Applications-Oriented Approach Using Lexical Data"
2016 | ISBN-10: 3319416057 | 80 pages | PDF | 1 MB

Language Modeling for Automatic Speech Recognition of Inflective Languages  eBooks & eLearning

Posted by arundhati at Oct. 22, 2016
Language Modeling for Automatic Speech Recognition of Inflective Languages

Gregor Donaj, "Language Modeling for Automatic Speech Recognition of Inflective Languages: An Applications-Oriented Approach Using Lexical Data"
2016 | ISBN-10: 3319416057 | 80 pages | PDF | 1 MB

Pluralsight - Using the Speech Recognition and Synthesis .NET APIs  eBooks & eLearning

Posted by naag at March 4, 2016
Pluralsight - Using the Speech Recognition and Synthesis .NET APIs

Pluralsight - Using the Speech Recognition and Synthesis .NET APIs
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3h 16m | 604 MB
Genre: eLearning | Language: English

This is an introductory course on how to utilize the speech recognition and synthesis APIs in the .NET framework.

"Modern Speech Recognition Approaches with Case Studies" ed. by S. Ramakrishnan  eBooks & eLearning

Posted by exLib at Feb. 23, 2016
"Modern Speech Recognition Approaches with Case Studies" ed. by S. Ramakrishnan

"Modern Speech Recognition Approaches with Case Studies" ed. by S. Ramakrishnan
ITAe | 2012 | ISBN: 9789535108313 | 337 pages | PDF | 12 MB

This book focuses primarily on speech recognition and the related tasks such as speech enhancement and modeling.