ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.02443
  4. Cited By
Teaching keyword spotters to spot new keywords with limited examples

Teaching keyword spotters to spot new keywords with limited examples

4 June 2021
Abhijeet Awasthi
Kevin Kilgour
H. Rom
ArXivPDFHTML

Papers citing "Teaching keyword spotters to spot new keywords with limited examples"

5 / 5 papers shown
Title
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors
Manuele Rusci
Francesco Paci
Marco Fariselli
Eric Flamand
Tinne Tuytelaars
33
0
0
22 Aug 2024
Metric Learning for User-defined Keyword Spotting
Metric Learning for User-defined Keyword Spotting
Jaemin Jung
You-kyong. Kim
Jihwan Park
Youshin Lim
Byeong-Yeol Kim
Youngjoon Jang
Joon Son Chung
37
9
0
01 Nov 2022
Towards noise robust trigger-word detection with contrastive learning
  pre-task for fast on-boarding of new trigger-words
Towards noise robust trigger-word detection with contrastive learning pre-task for fast on-boarding of new trigger-words
S. Balasubramanian
Aditya Jajodia
Gowtham Srinivasan
CLIP
33
0
0
06 Nov 2021
Towards Data-efficient Modeling for Wake Word Spotting
Towards Data-efficient Modeling for Wake Word Spotting
Yixin Gao
Yuriy Mishchenko
Anish Shah
Spyros Matsoukas
S. Vitaladevuni
47
29
0
13 Oct 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
344
11,684
0
09 Mar 2017
1