Articles liés à Embedded Architectures for Speech and Machine Learning:...

Embedded Architectures for Speech and Machine Learning: A Design Space Exploration Approach - Couverture souple

Dey, Soumyajit; Basu, Anupam

 
9783838397306: Embedded Architectures for Speech and Machine Learning: A Design Space Exploration Approach
Couverture souple
ISBN 10 : 3838397304 ISBN 13 : 9783838397306
Editeur : LAP LAMBERT Academic Publishing, 2010

Synopsis

In recent years, research and development in the field of "natural interface" technologies and machine learning techniques have gained paramount importance. Text to Speech (TTS) conversion and Automated Speech Recognition (ASR) form a key part of such interface technologies. On the other hand, the future generation of intelligent computing devices will obviously require applications like machine learning based classifiers to perform classification tasks in a variety of fields ranging from data mining to recognition tasks in image and video. However, the real-time performance of such applications in hand-held platforms have not been explored till date. The present work takes into consideration some representative applications from these domains, evaluates their performance on embedded processor architectures and performs modifications in the underlying hardware platform for real time performance improvement of the concerned applications. The book can be used as supplementary text for advanced courses in embedded systems for demonstrating practical examples of key techniques like workload characterization, hardware-software co-design, custom instruction synthesis etc.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

In recent years, research and development in the field of "natural interface" technologies and machine learning techniques have gained paramount importance. Text to Speech (TTS) conversion and Automated Speech Recognition (ASR) form a key part of such interface technologies. On the other hand, the future generation of intelligent computing devices will obviously require applications like machine learning based classifiers to perform classification tasks in a variety of fields ranging from data mining to recognition tasks in image and video. However, the real-time performance of such applications in hand-held platforms have not been explored till date. The present work takes into consideration some representative applications from these domains, evaluates their performance on embedded processor architectures and performs modifications in the underlying hardware platform for real time performance improvement of the concerned applications. The book can be used as supplementary text for advanced courses in embedded systems for demonstrating practical examples of key techniques like workload characterization, hardware-software co-design, custom instruction synthesis etc.

Biographie de l'auteur

Soumyajit Dey did his B.Tech. in Electronics and Telecommunication Engg. from Jadavpur University, Kolkata, India in 2004 and MS (by research) in Computer Science and Engg. from Indian Institute of Technology (IIT), Kharagpur, India in 2007. Currently, he is working towards his Ph.D. at IIT Kharagpur.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3838397304
ISBN 13 
9783838397306
Reliure
Broché
Nombre de pages
128
Coordonnées du fabricant
non disponible
Personne responsable
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