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Low-Power Architectures for Automatic Speech Recognition

Author
Tabani, H.
Type of activity
Theses
Other related units
Department of Computer Architecture
Defense's date
2018-02-21
URL
http://hdl.handle.net/2117/115363 Open in new window
Abstract
Automatic Speech Recognition (ASR) is one of the most important applications in the area of cognitive computing. Fast and accurate ASR is emerging as a key application for mobile and wearable devices. These devices, such as smartphones, have incorporated speech recognition as one of the main interfaces for user interaction. This trend towards voice-based user interfaces is likely to continue in the next years which is changing the way of human-machine interaction. Effective speech recognition s...
Keywords
Automatic speech recognition, GMM, Hardware accelerator, Microarchitecture, Register renaming
Group of research
ARCO - Microarchitecture and Compilers
Citation
Tabani, H. "Low-power architectures for automatic speech recognition". Tesi doctoral, UPC, Departament d'Arquitectura de Computadors, 2018.

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