Browse > Speech > Keyword Spotting

Keyword Spotting

16 papers with code · Speech

In speech processing, keyword spotting deals with the identification of keywords in utterances.

( Image credit: Simon Grest )

Leaderboards

No evaluation results yet. Help compare methods by submit evaluation metrics.

Latest papers with code

Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions

5 Nov 2019renyuanL/ry-Speech-commands

Keyword Spotting (KWS) enables speech-based user interaction on smart devices.

SMALL-FOOTPRINT KEYWORD SPOTTING

2
05 Nov 2019

Temporal Feedback Convolutional Recurrent Neural Networks for Keyword Spotting

30 Oct 2019tae-jun/temporal-feedback-crnn

While end-to-end learning has become a trend in deep learning, the model architecture is often designed to incorporate domain knowledge.

KEYWORD SPOTTING

4
30 Oct 2019

Temporal Convolution for Real-time Keyword Spotting on Mobile Devices

8 Apr 2019hyperconnect/TC-ResNet

In addition, we release the implementation of the proposed and the baseline models including an end-to-end pipeline for training models and evaluating them on mobile devices.

KEYWORD SPOTTING

76
08 Apr 2019

Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware

4 Dec 2018abr/power_benchmarks

Using Intel's Loihi neuromorphic research chip and ABR's Nengo Deep Learning toolkit, we analyze the inference speed, dynamic power consumption, and energy cost per inference of a two-layer neural network keyword spotter trained to recognize a single phrase.

KEYWORD SPOTTING

11
04 Dec 2018

Efficient keyword spotting using dilated convolutions and gating

19 Nov 2018snipsco/tract

We explore the application of end-to-end stateless temporal modeling to small-footprint keyword spotting as opposed to recurrent networks that model long-term temporal dependencies using internal states.

SMALL-FOOTPRINT KEYWORD SPOTTING

434
19 Nov 2018

Stochastic Adaptive Neural Architecture Search for Keyword Spotting

16 Nov 2018TomVeniat/SANAS

The problem of keyword spotting i. e. identifying keywords in a real-time audio stream is mainly solved by applying a neural network over successive sliding windows.

KEYWORD SPOTTING NEURAL ARCHITECTURE SEARCH

55
16 Nov 2018

JavaScript Convolutional Neural Networks for Keyword Spotting in the Browser: An Experimental Analysis

30 Oct 2018castorini/honkling

Overall, our robust, cross-device implementation for keyword spotting realizes a new paradigm for serving neural network applications, and one of our slim models reduces latency by 66% with a minimal decrease in accuracy of 4% from 94% to 90%.

KEYWORD SPOTTING MODEL COMPRESSION

19
30 Oct 2018

Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

9 Apr 2018TomVeniat/SANAS

Describes an audio dataset of spoken words designed to help train and evaluate keyword spotting systems.

ACCURACY METRICS KEYWORD SPOTTING SPEECH RECOGNITION

55
09 Apr 2018

Hello Edge: Keyword Spotting on Microcontrollers

20 Nov 2017ARM-software/ML-KWS-for-MCU

We train various neural network architectures for keyword spotting published in literature to compare their accuracy and memory/compute requirements.

KEYWORD SPOTTING

633
20 Nov 2017

Deep Residual Learning for Small-Footprint Keyword Spotting

28 Oct 2017castorini/honk

We explore the application of deep residual learning and dilated convolutions to the keyword spotting task, using the recently-released Google Speech Commands Dataset as our benchmark.

SMALL-FOOTPRINT KEYWORD SPOTTING

299
28 Oct 2017