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Learning Efficient Representations for Keyword Spotting with Triplet
  Loss
v1v2v3v4 (latest)

Learning Efficient Representations for Keyword Spotting with Triplet Loss

12 January 2021
R. Vygon
N. Mikhaylovskiy
    DMLSSL
ArXiv (abs)PDFHTML

Papers citing "Learning Efficient Representations for Keyword Spotting with Triplet Loss"

25 / 25 papers shown
Title
Phoneme-Level Contrastive Learning for User-Defined Keyword Spotting with Flexible Enrollment
Phoneme-Level Contrastive Learning for User-Defined Keyword Spotting with Flexible Enrollment
Li Kewei
Zhou Hengshun
Shen Kai
Dai Yusheng
Du Jun
91
3
0
31 Dec 2024
TriG-NER: Triplet-Grid Framework for Discontinuous Named Entity Recognition
TriG-NER: Triplet-Grid Framework for Discontinuous Named Entity Recognition
R. Cabral
Soyeon Caren Han
Areej Alhassan
Riza Batista-Navarro
Goran Nenadic
Josiah Poon
69
0
0
04 Nov 2024
Compressing 1D Time-Channel Separable Convolutions using Sparse Random
  Ternary Matrices
Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices
Gonçalo Mordido
Matthijs Van Keirsbilck
A. Keller
59
6
0
31 Mar 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
71
44
0
14 Feb 2021
Low-Power Audio Keyword Spotting using Tsetlin Machines
Low-Power Audio Keyword Spotting using Tsetlin Machines
Jie Lei
Tousif Rahman
Rishad Shafik
A. Wheeldon
Alex Yakovlev
Ole-Christoffer Granmo
F. Kawsar
Akhil Mathur
49
40
0
27 Jan 2021
End-to-end Triplet Loss based Emotion Embedding System for Speech
  Emotion Recognition
End-to-end Triplet Loss based Emotion Embedding System for Speech Emotion Recognition
Puneet Kumar
S. Jain
Balasubramanian Raman
P. Roy
Masakazu Iwamura
50
24
0
13 Oct 2020
Howl: A Deployed, Open-Source Wake Word Detection System
Howl: A Deployed, Open-Source Wake Word Detection System
Raphael Tang
Jaejun Lee
Afsaneh Razi
Julia Cambre
Ian Bicking
Jofish Kaye
Jimmy J. Lin
VLM
27
17
0
21 Aug 2020
Metric Learning for Keyword Spotting
Metric Learning for Keyword Spotting
Jaesung Huh
Minjae Lee
Hee-Soo Heo
Seongkyu Mun
Joon Son Chung
50
23
0
18 May 2020
Streaming keyword spotting on mobile devices
Streaming keyword spotting on mobile devices
Oleg Rybakov
Natasha Kononenko
Niranjan A. Subrahmanya
Mirkó Visontai
Stella Laurenzo
AI4TS
101
112
0
14 May 2020
Towards Learning a Universal Non-Semantic Representation of Speech
Towards Learning a Universal Non-Semantic Representation of Speech
Joel Shor
A. Jansen
Ronnie Maor
Oran Lang
Omry Tuval
Félix de Chaumont Quitry
Marco Tagliasacchi
Ira Shavitt
Dotan Emanuel
Yinnon A. Haviv
SSL
128
158
0
25 Feb 2020
Speech Model Pre-training for End-to-End Spoken Language Understanding
Speech Model Pre-training for End-to-End Spoken Language Understanding
Loren Lugosch
Mirco Ravanelli
Patrick Ignoto
Vikrant Singh Tomar
Yoshua Bengio
SyDaAuLLM
68
355
0
07 Apr 2019
A neural attention model for speech command recognition
A neural attention model for speech command recognition
Douglas Coimbra de Andrade
Sabato Leo
M. Viana
Christoph Bernkopf
45
145
0
27 Aug 2018
Triplet Network with Attention for Speaker Diarization
Triplet Network with Attention for Speaker Diarization
Huan Song
Megan M. Willi
Jayaraman J. Thiagarajan
Visar Berisha
A. Spanias
33
17
0
04 Aug 2018
Hello Edge: Keyword Spotting on Microcontrollers
Hello Edge: Keyword Spotting on Microcontrollers
Yundong Zhang
Naveen Suda
Liangzhen Lai
Vikas Chandra
77
435
0
20 Nov 2017
Deep Residual Learning for Small-Footprint Keyword Spotting
Deep Residual Learning for Small-Footprint Keyword Spotting
Raphael Tang
Jimmy J. Lin
69
236
0
28 Oct 2017
Streaming Small-Footprint Keyword Spotting using Sequence-to-Sequence
  Models
Streaming Small-Footprint Keyword Spotting using Sequence-to-Sequence Models
Yanzhang He
Rohit Prabhavalkar
Kanishka Rao
Wei Li
A. Bakhtin
Ian McGraw
AI4TS
58
91
0
26 Oct 2017
Honk: A PyTorch Reimplementation of Convolutional Neural Networks for
  Keyword Spotting
Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting
Raphael Tang
Jimmy J. Lin
OffRLAI4TS
56
34
0
18 Oct 2017
Max-Pooling Loss Training of Long Short-Term Memory Networks for
  Small-Footprint Keyword Spotting
Max-Pooling Loss Training of Long Short-Term Memory Networks for Small-Footprint Keyword Spotting
Ming Sun
A. Raju
George Tucker
S. Panchapagesan
Gengshen Fu
Arindam Mandal
Spyros Matsoukas
N. Strom
S. Vitaladevuni
50
119
0
05 May 2017
Deep Speaker: an End-to-End Neural Speaker Embedding System
Deep Speaker: an End-to-End Neural Speaker Embedding System
Chao Li
Xiaokong Ma
B. Jiang
Xiangang Li
Xuewei Zhang
Xiao-Chang Liu
Ying Cao
Ajay Kannan
Zhenyao Zhu
48
493
0
05 May 2017
In Defense of the Triplet Loss for Person Re-Identification
In Defense of the Triplet Loss for Person Re-Identification
Alexander Hermans
Lucas Beyer
Bastian Leibe
DML
97
3,206
0
22 Mar 2017
Convolutional Recurrent Neural Networks for Small-Footprint Keyword
  Spotting
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting
Sercan O. Arik
Markus Kliegl
R. Child
Joel Hestness
Andrew Gibiansky
Christopher Fougner
R. Prenger
Adam Coates
69
181
0
15 Mar 2017
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUs
Jeff Johnson
Matthijs Douze
Hervé Jégou
257
3,723
0
28 Feb 2017
TristouNet: Triplet Loss for Speaker Turn Embedding
TristouNet: Triplet Loss for Speaker Turn Embedding
H. Bredin
65
182
0
14 Sep 2016
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
379
13,145
0
12 Mar 2015
Learning Fine-grained Image Similarity with Deep Ranking
Learning Fine-grained Image Similarity with Deep Ranking
Jiang Wang
Yang Song
Thomas Leung
C. Rosenberg
Jingbin Wang
James Philbin
Bo Chen
Ying Nian Wu
SSL
112
1,318
0
17 Apr 2014
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