DESIGN AND REALIZATION OF LOW COMPLEXITY DEEP LEARNING MODEL FOR REAL-TIME KEYWORD SPOTTING APPLICATION USING JETSON XAVIER NXTM
Keyword Spotting (KWS) is the task of recognizing spoken command words from a stream of audio. The main challenge of creating a real-time KWS system is the system’s real-time performance. This makes edge computing a suitable option. To implement a system using the edge computing paradigm, the sys...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/80265 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
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