Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded
Chipsets

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Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded Chipsets

13 July 2022

S. Parthasarathi

S. Cheekatmalla

S. Vitaladevuni

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Papers citing "Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded Chipsets"

16 / 16 papers shown

Title
Small-Footprint Keyword Spotting with Multi-Scale Temporal Convolution Ximin Li Xiaodong Wei Xiaowei Qin 91 38 0 20 Oct 2020
On Front-end Gain Invariant Modeling for Wake Word Spotting Yixin Gao Noah D. Stein Chieh-Chi Kao Yunliang Cai Ming Sun Tao Zhang S. Vitaladevuni 32 11 0 13 Oct 2020
Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware Peter Blouw G. Malik Benjamin Morcos Aaron R. Voelker C. Eliasmith 55 21 0 09 Sep 2020
Accurate Detection of Wake Word Start and End Using a CNN Christin Jose Yuriy Mishchenko Thibaud Sénéchal Anish Shah Alex Escott S. Vitaladevuni 44 26 0 09 Aug 2020
Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions Simon Mittermaier Ludwig Kurzinger Bernd Waschneck Gerhard Rigoll 56 57 0 05 Nov 2019
Compression of Acoustic Event Detection Models with Low-rank Matrix Factorization and Quantization Training Bowen Shi Ming Sun Chieh-Chi Kao Viktor Rozgic Spyros Matsoukas Chao Wang 49 15 0 02 May 2019
Scalable Methods for 8-bit Training of Neural Networks Ron Banner Itay Hubara Elad Hoffer Daniel Soudry MQ 84 339 0 25 May 2018
Deep Learning using Rectified Linear Units (ReLU) Abien Fred Agarap 78 3,236 0 22 Mar 2018
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning Stefan Elfwing E. Uchibe Kenji Doya 136 1,739 0 10 Feb 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 361 5,379 0 03 Nov 2016
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 174 5,042 0 27 Jun 2016
On the Compression of Recurrent Neural Networks with an Application to LVCSR acoustic modeling for Embedded Speech Recognition Rohit Prabhavalkar O. Alsharif A. Bruguier Ian McGraw 54 103 0 25 Mar 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 175 4,369 0 16 Mar 2016
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 212 2,992 0 02 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 465 43,341 0 11 Feb 2015
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 393 3,154 0 15 Aug 2013