Keyword Spotting

92 papers with code • 10 benchmarks • 8 datasets

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

( Image credit: Simon Grest )

Libraries

Use these libraries to find Keyword Spotting models and implementations

AraSpot: Arabic Spoken Command Spotting

msalhab96/araspot 29 Mar 2023

Spoken keyword spotting (KWS) is the task of identifying a keyword in an audio stream and is widely used in smart devices at the edge in order to activate voice assistants and perform hands-free tasks.

2
29 Mar 2023

LipLearner: Customizable Silent Speech Interactions on Mobile Devices

rkmtlab/LipLearner 12 Feb 2023

Silent speech interface is a promising technology that enables private communications in natural language.

47
12 Feb 2023

ASiT: Local-Global Audio Spectrogram vIsion Transformer for Event Classification

sara-ahmed/asit 23 Nov 2022

Transformers, which were originally developed for natural language processing, have recently generated significant interest in the computer vision and audio communities due to their flexibility in learning long-range relationships.

17
23 Nov 2022

BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance

htqin/bifsmnv2 13 Nov 2022

We highlight that benefiting from the compact architecture and optimized hardware kernel, BiFSMNv2 can achieve an impressive 25. 1x speedup and 20. 2x storage-saving on edge hardware.

22
13 Nov 2022

Integrated Parameter-Efficient Tuning for General-Purpose Audio Models

wngh1187/ipet 4 Nov 2022

To overcome these limitations, the present study explores and applies efficient transfer learning methods in the audio domain.

9
04 Nov 2022

MAST: Multiscale Audio Spectrogram Transformers

Sreyan88/LAPE 2 Nov 2022

We present Multiscale Audio Spectrogram Transformer (MAST) for audio classification, which brings the concept of multiscale feature hierarchies to the Audio Spectrogram Transformer (AST).

20
02 Nov 2022

WeKws: A production first small-footprint end-to-end Keyword Spotting Toolkit

wenet-e2e/wekws 30 Oct 2022

Keyword spotting (KWS) enables speech-based user interaction and gradually becomes an indispensable component of smart devices.

365
30 Oct 2022

Masked Modeling Duo: Learning Representations by Encouraging Both Networks to Model the Input

nttcslab/m2d 26 Oct 2022

We propose a new method, Masked Modeling Duo (M2D), that learns representations directly while obtaining training signals using only masked patches.

30
26 Oct 2022

Improving Label-Deficient Keyword Spotting Through Self-Supervised Pretraining

holgerbovbjerg/data2vec-kws 4 Oct 2022

This paper explores the effectiveness of SSL on small models for KWS and establishes that SSL can enhance the performance of small KWS models when labelled data is scarce.

18
04 Oct 2022

SiDi KWS: A Large-Scale Multilingual Dataset for Keyword Spotting

michel-meneses/keyword-miner Interspeech 2022

Keyword spotting (KWS) has become a hot topic in speech processing due to the rise of commercial applications based on voice command detection, such as voice assistants.

5
22 Sep 2022