Approximate LSTM Computing for Energy-Efficient Speech Recognition

Approximate LSTM Computing for Energy-Efficient Speech Recognition

This paper presents an approximate computing method of long short-term memory (LSTM) operations for energy-efficient end-to-end speech recognition. We newly introduce the concept of similarity score, which can measure how much the inputs of two adjacent LSTM cells are similar to each other. Then, we...

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Bibliographic Details
Main Authors: Junseo Jo, Jaeha Kung, Youngjoo Lee
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Electronics
Subjects:
approximate computing
LSTM architecture
speech recognition
VLSI design
Online Access:https://www.mdpi.com/2079-9292/9/12/2004

Internet

https://www.mdpi.com/2079-9292/9/12/2004

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