About

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

( Image credit: Simon Grest )

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Subtasks

Datasets

Greatest papers with code

Efficient keyword spotting using dilated convolutions and gating

19 Nov 2018sonos/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

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.

Ranked #9 on Keyword Spotting on Google Speech Commands (Google Speech Commands V1 12 metric)

KEYWORD SPOTTING

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

Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting

18 Oct 2017castorini/honk

We describe Honk, an open-source PyTorch reimplementation of convolutional neural networks for keyword spotting that are included as examples in TensorFlow.

KEYWORD SPOTTING SPEECH RECOGNITION

Low-Power Audio Keyword Spotting using Tsetlin Machines

27 Jan 2021cair/TsetlinMachine

In this paper we explore a TM based keyword spotting (KWS) pipeline to demonstrate low complexity with faster rate of convergence compared to NNs.

KEYWORD SPOTTING AUDIO AND SPEECH PROCESSING SOUND

READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents

9 May 2017dhlab-epfl/dhSegment

Well established text line segmentation evaluation schemes such as the Detection Rate or Recognition Accuracy demand for binarized data that is annotated on a pixel level.

BINARIZATION KEYWORD SPOTTING

An End-to-End Architecture for Keyword Spotting and Voice Activity Detection

28 Nov 2016mindorii/kws

We propose a single neural network architecture for two tasks: on-line keyword spotting and voice activity detection.

ACTION DETECTION ACTIVITY DETECTION CLASSIFICATION KEYWORD SPOTTING

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

Howl: A Deployed, Open-Source Wake Word Detection System

21 Aug 2020castorini/howl

We describe Howl, an open-source wake word detection toolkit with native support for open speech datasets, like Mozilla Common Voice and Google Speech Commands.

 Ranked #1 on Keyword Spotting on Google Speech Commands (Google Speech Commands V1 12 metric)

KEYWORD SPOTTING

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