Search Results for author: Santosh Kumar Cheekatmalla

Found 3 papers, 0 papers with code

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

no code implementations13 Jul 2022 Lu Zeng, Sree Hari Krishnan Parthasarathi, Yuzong Liu, Alex Escott, Santosh Kumar Cheekatmalla, Nikko Strom, Shiv Vitaladevuni

We organize our results in two embedded chipset settings: a) with commodity ARM NEON instruction set and 8-bit containers, we present accuracy, CPU, and memory results using sub 8-bit weights (4, 5, 8-bit) and 8-bit quantization of rest of the network; b) with off-the-shelf neural network accelerators, for a range of weight bit widths (1 and 5-bit), while presenting accuracy results, we project reduction in memory utilization.

Keyword Spotting Quantization

Tiny-CRNN: Streaming Wakeword Detection In A Low Footprint Setting

no code implementations29 Sep 2021 Mohammad Omar Khursheed, Christin Jose, Rajath Kumar, GengShen Fu, Brian Kulis, Santosh Kumar Cheekatmalla

In this work, we propose Tiny-CRNN (Tiny Convolutional Recurrent Neural Network) models applied to the problem of wakeword detection, and augment them with scaled dot product attention.

Small Footprint Convolutional Recurrent Networks for Streaming Wakeword Detection

no code implementations25 Nov 2020 Mohammad Omar Khursheed, Christin Jose, Rajath Kumar, GengShen Fu, Brian Kulis, Santosh Kumar Cheekatmalla

In this work, we propose small footprint Convolutional Recurrent Neural Network models applied to the problem of wakeword detection and augment them with scaled dot product attention.

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