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

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

26 October 2017
Yanzhang He
Rohit Prabhavalkar
Kanishka Rao
Wei Li
A. Bakhtin
Ian McGraw
    AI4TS
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Papers citing "Streaming Small-Footprint Keyword Spotting using Sequence-to-Sequence Models"

19 / 19 papers shown
Title
Spot keywords from very noisy and mixed speech
Spot keywords from very noisy and mixed speech
Ying Shi
Dong Wang
Lantian Li
Jiqing Han
Shi Yin
38
4
0
28 May 2023
QbyE-MLPMixer: Query-by-Example Open-Vocabulary Keyword Spotting using
  MLPMixer
QbyE-MLPMixer: Query-by-Example Open-Vocabulary Keyword Spotting using MLPMixer
Jinmiao Huang
W. Gharbieh
Qianhui Wan
Han Suk Shim
Chul Lee
22
9
0
23 Jun 2022
Deep Spoken Keyword Spotting: An Overview
Deep Spoken Keyword Spotting: An Overview
Iván López-Espejo
Zheng-Hua Tan
John H. L. Hansen
Jesper Jensen
21
102
0
20 Nov 2021
Recent Advances in End-to-End Automatic Speech Recognition
Recent Advances in End-to-End Automatic Speech Recognition
Jinyu Li
VLM
37
363
0
02 Nov 2021
Visual Keyword Spotting with Attention
Visual Keyword Spotting with Attention
Prajwal K R
Liliane Momeni
Triantafyllos Afouras
Andrew Zisserman
19
13
0
29 Oct 2021
Tiny-CRNN: Streaming Wakeword Detection In A Low Footprint Setting
Tiny-CRNN: Streaming Wakeword Detection In A Low Footprint Setting
Mohammad Omar Khursheed
Christin Jose
Rajath Kumar
Gengshen Fu
Brian Kulis
S. Cheekatmalla
26
6
0
29 Sep 2021
Dynamic curriculum learning via data parameters for noise robust keyword
  spotting
Dynamic curriculum learning via data parameters for noise robust keyword spotting
T. Higuchi
Shreyas Saxena
M. Souden
Tien Dung Tran
Masood Delfarah
C. Dhir
18
8
0
18 Feb 2021
Query-by-Example Keyword Spotting system using Multi-head Attention and
  Softtriple Loss
Query-by-Example Keyword Spotting system using Multi-head Attention and Softtriple Loss
Jinmiao Huang
W. Gharbieh
Han Suk Shim
Eugene Kim
AAML
23
41
0
14 Feb 2021
Learning Efficient Representations for Keyword Spotting with Triplet
  Loss
Learning Efficient Representations for Keyword Spotting with Triplet Loss
R. Vygon
N. Mikhaylovskiy
DML
SSL
60
64
0
12 Jan 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
52
30
0
13 Oct 2020
Seeing wake words: Audio-visual Keyword Spotting
Seeing wake words: Audio-visual Keyword Spotting
Liliane Momeni
Triantafyllos Afouras
Themos Stafylakis
Samuel Albanie
Andrew Zisserman
46
43
0
02 Sep 2020
Stacked 1D convolutional networks for end-to-end small footprint voice
  trigger detection
Stacked 1D convolutional networks for end-to-end small footprint voice trigger detection
T. Higuchi
M. Ghasemzadeh
Kisun You
C. Dhir
26
17
0
08 Aug 2020
Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering
Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering
Saurabh N. Adya
Vineet Garg
Siddharth Sigtia
P. Simha
C. Dhir
15
18
0
05 Aug 2020
ContextNet: Improving Convolutional Neural Networks for Automatic Speech
  Recognition with Global Context
ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context
Wei Han
Zhengdong Zhang
Yu Zhang
Jiahui Yu
Chung-Cheng Chiu
James Qin
Anmol Gulati
Ruoming Pang
Yonghui Wu
33
259
0
07 May 2020
Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM
  Networks
Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM Networks
Théodore Bluche
Maël Primet
Thibault Gisselbrecht
ObjD
MQ
28
24
0
25 Feb 2020
Query-by-example on-device keyword spotting
Query-by-example on-device keyword spotting
Byeonggeun Kim
Mingu Lee
Jinkyu Lee
Yeonseok Kim
Kyuwoong Hwang
27
42
0
11 Oct 2019
Sub-band Convolutional Neural Networks for Small-footprint Spoken Term
  Classification
Sub-band Convolutional Neural Networks for Small-footprint Spoken Term Classification
Chieh-Chi Kao
Ming Sun
Yixin Gao
S. Vitaladevuni
Chao Wang
29
13
0
02 Jul 2019
Attention-based End-to-End Models for Small-Footprint Keyword Spotting
Attention-based End-to-End Models for Small-Footprint Keyword Spotting
Changhao Shan
Junbo Zhang
Yujun Wang
Lei Xie
AI4TS
19
109
0
29 Mar 2018
No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica
  in End-to-End Models
No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models
Tara N. Sainath
Rohit Prabhavalkar
Shankar Kumar
Seungjin Lee
Anjuli Kannan
...
Patrick Nguyen
Bo-wen Li
Yonghui Wu
Zhehuai Chen
Chung-Cheng Chiu
21
53
0
05 Dec 2017
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