Time-Encoding-Based Ultra-Low Power Features Extraction Circuit for Speech Recognition Tasks

Time-Encoding-Based Ultra-Low Power Features Extraction Circuit for Speech Recognition Tasks

Current trends towards on-edge computing on smart portable devices requires ultra-low power circuits to be able to make feature extraction and classification tasks of patterns. This manuscript proposes a novel approach for feature extraction operations in speech recognition/voice activity detection...

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Bibliographic Details
Main Authors: Eric Gutierrez, Carlos Perez, Fernando Hernandez, Luis Hernandez
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Electronics
Subjects:
artificial intelligence
machine learning
speech recognition
features extraction
voltage-controlled-oscillator
analog-to-digital converter
Online Access:https://www.mdpi.com/2079-9292/9/3/418

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https://www.mdpi.com/2079-9292/9/3/418

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