Browse > Speech > Keyword Spotting

Keyword Spotting

14 papers with code · Speech

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

Leaderboards

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

Greatest papers with code

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

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

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

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.

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

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

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

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