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

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

29 March 2018

Yujun Wang

Lei Xie

Papers citing "Attention-based End-to-End Models for Small-Footprint Keyword Spotting"

9 / 9 papers shown

Title
Enhancing Voice Wake-Up for Dysarthria: Mandarin Dysarthria Speech Corpus Release and Customized System Design Ming Gao Hang Chen Jun Du Xin Xu Hongxiao Guo Hui Bu Jianxing Yang Ming Li Chin-Hui Lee 42 2 0 14 Jun 2024
Learning Decoupling Features Through Orthogonality Regularization Li Wang Rongzhi Gu Weiji Zhuang Peng Gao Yujun Wang Yuexian Zou 24 1 0 31 Mar 2022
Deep Spoken Keyword Spotting: An Overview Iván López-Espejo Zheng-Hua Tan John H. L. Hansen Jesper Jensen 21 102 0 20 Nov 2021
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
Read and Attend: Temporal Localisation in Sign Language Videos Gül Varol Liliane Momeni Samuel Albanie Triantafyllos Afouras Andrew Zisserman SLR 24 40 0 30 Mar 2021
Towards Data-efficient Modeling for Wake Word Spotting Yixin Gao Yuriy Mishchenko Anish Shah Spyros Matsoukas S. Vitaladevuni 47 29 0 13 Oct 2020
Few-shot learning with attention-based sequence-to-sequence models Bertrand Higy P. Bell 21 6 0 08 Nov 2018
Learning acoustic word embeddings with phonetically associated triplet network Hyungjun Lim Yu Li Yongdong Zhang Junbo Guo Jintao Li 11 5 0 07 Nov 2018
Trainable Frontend For Robust and Far-Field Keyword Spotting Yuxuan Wang Pascal Getreuer Thad Hughes R. Lyon Rif A. Saurous 61 142 0 19 Jul 2016