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Small-Footprint Keyword Spotting

3 papers with code ยท Speech
Subtask of Keyword Spotting

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Domain Aware Training for Far-field Small-footprint Keyword Spotting

7 May 2020

In this paper, we focus on the task of small-footprint keyword spotting under the far-field scenario.

MULTI-TASK LEARNING SMALL-FOOTPRINT KEYWORD SPOTTING

Small-footprint Keyword Spotting with Graph Convolutional Network

11 Dec 2019

Despite the recent successes of deep neural networks, it remains challenging to achieve high precision keyword spotting task (KWS) on resource-constrained devices.

SMALL-FOOTPRINT KEYWORD SPOTTING

Attention-based End-to-End Models for Small-Footprint Keyword Spotting

29 Mar 2018

In this paper, we propose an attention-based end-to-end neural approach for small-footprint keyword spotting (KWS), which aims to simplify the pipelines of building a production-quality KWS system.

SMALL-FOOTPRINT KEYWORD SPOTTING

Streaming Small-Footprint Keyword Spotting using Sequence-to-Sequence Models

26 Oct 2017

We develop streaming keyword spotting systems using a recurrent neural network transducer (RNN-T) model: an all-neural, end-to-end trained, sequence-to-sequence model which jointly learns acoustic and language model components.

LANGUAGE MODELLING SMALL-FOOTPRINT KEYWORD SPOTTING

Small-footprint Keyword Spotting Using Deep Neural Network and Connectionist Temporal Classifier

12 Sep 2017

Mainly for the sake of solving the lack of keyword-specific data, we propose one Keyword Spotting (KWS) system using Deep Neural Network (DNN) and Connectionist Temporal Classifier (CTC) on power-constrained small-footprint mobile devices, taking full advantage of general corpus from continuous speech recognition which is of great amount.

DECISION MAKING SMALL-FOOTPRINT KEYWORD SPOTTING SPEECH RECOGNITION

Max-Pooling Loss Training of Long Short-Term Memory Networks for Small-Footprint Keyword Spotting

5 May 2017

Finally, the max-pooling loss trained LSTM initialized with a cross-entropy pre-trained network shows the best performance, which yields $67. 6\%$ relative reduction compared to baseline feed-forward DNN in Area Under the Curve (AUC) measure.

SMALL-FOOTPRINT KEYWORD SPOTTING

Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting

15 Mar 2017

Keyword spotting (KWS) constitutes a major component of human-technology interfaces.

SMALL-FOOTPRINT KEYWORD SPOTTING SPEECH RECOGNITION