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Keyword Spotting

13 papers with code · Speech

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

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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

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

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

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