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Deep Residual Learning for Small-Footprint Keyword Spotting

Deep Residual Learning for Small-Footprint Keyword Spotting

28 October 2017
Raphael Tang
Jimmy J. Lin
ArXivPDFHTML

Papers citing "Deep Residual Learning for Small-Footprint Keyword Spotting"

46 / 46 papers shown
Title
Improving Pretrained YAMNet for Enhanced Speech Command Detection via Transfer Learning
Improving Pretrained YAMNet for Enhanced Speech Command Detection via Transfer Learning
Sidahmed Lachenani
Hamza Kheddar
Mohamed Ouldzmirli
43
2
0
26 Apr 2025
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
41
1
0
31 Dec 2024
Effective Integration of KAN for Keyword Spotting
Effective Integration of KAN for Keyword Spotting
Anfeng Xu
Biqiao Zhang
Shuyu Kong
Yiteng Huang
Zhaojun Yang
Sangeeta Srivastava
Ming Sun
34
5
0
13 Sep 2024
Multitaper mel-spectrograms for keyword spotting
Multitaper mel-spectrograms for keyword spotting
Douglas Baptista de Souza
Khaled Jamal Bakri
Fernanda Ferreira
Juliana Inacio
13
1
0
05 Jul 2024
Robust Dual-Modal Speech Keyword Spotting for XR Headsets
Robust Dual-Modal Speech Keyword Spotting for XR Headsets
Zhuojiang Cai
Yuhan Ma
Feng Lu
30
0
0
26 Jan 2024
The taste of IPA: Towards open-vocabulary keyword spotting and forced
  alignment in any language
The taste of IPA: Towards open-vocabulary keyword spotting and forced alignment in any language
Jian Zhu
Changbing Yang
Farhan Samir
Jahurul Islam
32
4
0
14 Nov 2023
Matching Latent Encoding for Audio-Text based Keyword Spotting
Matching Latent Encoding for Audio-Text based Keyword Spotting
K. Nishu
Minsik Cho
Devang Naik
9
14
0
08 Jun 2023
MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural
  Networks
MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks
Seah Kim
Hasan Genç
Vadim Nikiforov
Krste Asanović
B. Nikolić
Y. Shao
27
18
0
10 May 2023
How Tiny Can Analog Filterbank Features Be Made for Ultra-low-power
  On-device Keyword Spotting?
How Tiny Can Analog Filterbank Features Be Made for Ultra-low-power On-device Keyword Spotting?
S. Ray
Xinghua Sun
Nolan Tremelling
Maria Gordiyenko
P. Kinget
20
1
0
17 Apr 2023
Scalable Weight Reparametrization for Efficient Transfer Learning
Scalable Weight Reparametrization for Efficient Transfer Learning
Byeonggeun Kim
Juntae Lee
Seunghan Yang
Simyung Chang
OffRL
16
0
0
26 Feb 2023
Pex: Memory-efficient Microcontroller Deep Learning through Partial
  Execution
Pex: Memory-efficient Microcontroller Deep Learning through Partial Execution
Edgar Liberis
Nicholas D. Lane
23
3
0
30 Nov 2022
Filterbank Learning for Noise-Robust Small-Footprint Keyword Spotting
Filterbank Learning for Noise-Robust Small-Footprint Keyword Spotting
Iván López-Espejo
R. Shekar
Zheng-Hua Tan
Jesper Jensen
John H. L. Hansen
29
2
0
19 Nov 2022
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for
  the Metaverse
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse
Hyoukjun Kwon
Krishnakumar Nair
Jamin Seo
Jason Yik
D. Mohapatra
...
Ashish Sirasao
T. Krishna
Harshit Khaitan
Vikas Chandra
Vijay Janapa Reddi
40
33
0
16 Nov 2022
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
40
9
0
01 Nov 2022
I see what you hear: a vision-inspired method to localize words
I see what you hear: a vision-inspired method to localize words
Mohammad Samragh
Arnav Kundu
Ting-Yao Hu
Minsik Cho
Aman Chadha
A. Shrivastava
Oncel Tuzel
Devang Naik
ObjD
39
1
0
24 Oct 2022
A Multi-tasking Model of Speaker-Keyword Classification for Keeping
  Human in the Loop of Drone-assisted Inspection
A Multi-tasking Model of Speaker-Keyword Classification for Keeping Human in the Loop of Drone-assisted Inspection
Yu Li
Anisha Parsan
Bill Wang
Penghao Dong
Shanshan Yao
Ruwen Qin
29
5
0
08 Jul 2022
Personalized Keyword Spotting through Multi-task Learning
Personalized Keyword Spotting through Multi-task Learning
Seunghan Yang
Byeonggeun Kim
Inseop Chung
Simyung Chang
26
8
0
28 Jun 2022
Learning Decoupling Features Through Orthogonality Regularization
Learning Decoupling Features Through Orthogonality Regularization
Li Wang
Rongzhi Gu
Weiji Zhuang
Peng Gao
Yujun Wang
Yuexian Zou
24
1
0
31 Mar 2022
A Study of Designing Compact Audio-Visual Wake Word Spotting System
  Based on Iterative Fine-Tuning in Neural Network Pruning
A Study of Designing Compact Audio-Visual Wake Word Spotting System Based on Iterative Fine-Tuning in Neural Network Pruning
Hengshun Zhou
Jun Du
Chao-Han Huck Yang
Shifu Xiong
Chin-Hui Lee
VLM
21
3
0
17 Feb 2022
ConvMixer: Feature Interactive Convolution with Curriculum Learning for
  Small Footprint and Noisy Far-field Keyword Spotting
ConvMixer: Feature Interactive Convolution with Curriculum Learning for Small Footprint and Noisy Far-field Keyword Spotting
Dianwen Ng
Yunqi Chen
Biao Tian
Qiang Fu
Chng Eng Siong
24
46
0
15 Jan 2022
Two Sparsities Are Better Than One: Unlocking the Performance Benefits
  of Sparse-Sparse Networks
Two Sparsities Are Better Than One: Unlocking the Performance Benefits of Sparse-Sparse Networks
Kevin Lee Hunter
Lawrence Spracklen
Subutai Ahmad
23
20
0
27 Dec 2021
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
EfficientWord-Net: An Open Source Hotword Detection Engine based on
  One-shot Learning
EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot Learning
R. Chidhambararajan
Aman Rangaur
S. C. Sethuraman
14
4
0
31 Oct 2021
Differentiable Network Pruning for Microcontrollers
Differentiable Network Pruning for Microcontrollers
Edgar Liberis
Nicholas D. Lane
22
18
0
15 Oct 2021
PQK: Model Compression via Pruning, Quantization, and Knowledge
  Distillation
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation
Jang-Hyun Kim
Simyung Chang
Nojun Kwak
30
44
0
25 Jun 2021
Broadcasted Residual Learning for Efficient Keyword Spotting
Broadcasted Residual Learning for Efficient Keyword Spotting
Byeonggeun Kim
Simyung Chang
Jinkyu Lee
Dooyong Sung
29
121
0
08 Jun 2021
SubSpectral Normalization for Neural Audio Data Processing
SubSpectral Normalization for Neural Audio Data Processing
Simyung Chang
Hyoungwoo Park
Janghoon Cho
Hyunsin Park
Sungrack Yun
Kyuwoong Hwang
31
30
0
25 Mar 2021
Prototype-based Personalized Pruning
Prototype-based Personalized Pruning
Jang-Hyun Kim
Simyung Chang
Sungrack Yun
Nojun Kwak
28
4
0
25 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
13
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
Speech Command Recognition in Computationally Constrained Environments
  with a Quadratic Self-organized Operational Layer
Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-organized Operational Layer
M. Soltanian
Junaid Malik
Jenni Raitoharju
Alexandros Iosifidis
S. Kiranyaz
Denmark
22
11
0
23 Nov 2020
Small-Footprint Keyword Spotting with Multi-Scale Temporal Convolution
Small-Footprint Keyword Spotting with Multi-Scale Temporal Convolution
Ximin Li
Xiaodong Wei
Xiaowei Qin
39
38
0
20 Oct 2020
Metric Learning for Keyword Spotting
Metric Learning for Keyword Spotting
Jaesung Huh
Minjae Lee
Hee-Soo Heo
Seongkyu Mun
Joon Son Chung
21
23
0
18 May 2020
Multi-Task Network for Noise-Robust Keyword Spotting and Speaker
  Verification using CTC-based Soft VAD and Global Query Attention
Multi-Task Network for Noise-Robust Keyword Spotting and Speaker Verification using CTC-based Soft VAD and Global Query Attention
Myunghun Jung
Youngmoon Jung
Jahyun Goo
Hoirin Kim
22
19
0
08 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
Compact recurrent neural networks for acoustic event detection on
  low-energy low-complexity platforms
Compact recurrent neural networks for acoustic event detection on low-energy low-complexity platforms
G. Cerutti
Rahul Prasad
Alessio Brutti
Elisabetta Farella
21
47
0
29 Jan 2020
FQ-Conv: Fully Quantized Convolution for Efficient and Accurate
  Inference
FQ-Conv: Fully Quantized Convolution for Efficient and Accurate Inference
Bram-Ernst Verhoef
Nathan Laubeuf
S. Cosemans
P. Debacker
Ioannis A. Papistas
A. Mallik
D. Verkest
MQ
11
16
0
19 Dec 2019
Predicting detection filters for small footprint open-vocabulary keyword
  spotting
Predicting detection filters for small footprint open-vocabulary keyword spotting
Théodore Bluche
Thibault Gisselbrecht
ObjD
18
19
0
16 Dec 2019
Algorithm-Dependent Generalization Bounds for Overparameterized Deep
  Residual Networks
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks
Spencer Frei
Yuan Cao
Quanquan Gu
ODL
9
31
0
07 Oct 2019
Keyword Spotter Model for Crop Pest and Disease Monitoring from
  Community Radio Data
Keyword Spotter Model for Crop Pest and Disease Monitoring from Community Radio Data
Benjamin Akera
J. Nakatumba‐Nabende
Jonathan Mukiibi
Ali Hussein
Nathan Baleeta
Daniel Ssendiwala
Samiiha Nalwooga
6
2
0
05 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
23
13
0
02 Jul 2019
Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia
Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia
Charles C. Onu
Jonathan Lebensold
William L. Hamilton
Doina Precup
18
32
0
24 Jun 2019
How Can We Be So Dense? The Benefits of Using Highly Sparse
  Representations
How Can We Be So Dense? The Benefits of Using Highly Sparse Representations
Subutai Ahmad
Luiz Scheinkman
33
96
0
27 Mar 2019
Progressive Label Distillation: Learning Input-Efficient Deep Neural
  Networks
Progressive Label Distillation: Learning Input-Efficient Deep Neural Networks
Z. Q. Lin
A. Wong
22
1
0
26 Jan 2019
Efficient keyword spotting using dilated convolutions and gating
Efficient keyword spotting using dilated convolutions and gating
A. Coucke
M. Chlieh
Thibault Gisselbrecht
David Leroy
Mathieu Poumeyrol
Thibaut Lavril
14
96
0
19 Nov 2018
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
11
144
0
27 Aug 2018
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