An energy-efficient voice activity detector using deep neural networks and approximate computing

Author:

Liu BoORCID,Wang Zhen,Guo Shisheng,Yu Huazhen,Gong Yu,Yang Jun,Shi Longxing

Funder

National Science and Technology Major Project

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Engineering

Reference22 articles.

1. A 90 nm cmos, 6 μw power-proportional acoustic sensing frontend for voice activity detection;Badami;IEEE J. Solid State Circ.,2016

2. A 2.3 nj/frame voice activity detector-based audio front-end for context-aware system-on-chip applications in 32-nm cmos;Raychowdhury;IEEE J. Solid State Circ.,2013

3. Hibernets: energy-efficient sensor networks using analog signal processing;Rumberg;IEEE J. Emerg. Sel. Top. Circ. Syst.,2011

4. An investigation of deep neural networks for noise robust speech recognition;Seltzer,2013

5. Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition;Dahl;IEEE Trans. Audio Speech Lang. Process.,2012

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