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On the Compression of Recurrent Neural Networks with an Application to
  LVCSR acoustic modeling for Embedded Speech Recognition
v1v2 (latest)

On the Compression of Recurrent Neural Networks with an Application to LVCSR acoustic modeling for Embedded Speech Recognition

25 March 2016
Rohit Prabhavalkar
O. Alsharif
A. Bruguier
Ian McGraw
ArXiv (abs)PDFHTML

Papers citing "On the Compression of Recurrent Neural Networks with an Application to LVCSR acoustic modeling for Embedded Speech Recognition"

48 / 48 papers shown
Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods
Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search MethodsInternational Conference on Learning Representations (ICLR), 2024
Akira Ito
Masanori Yamada
Atsutoshi Kumagai
MoMe
823
11
0
06 Feb 2024
Embedding Compression for Text Classification Using Dictionary Screening
Embedding Compression for Text Classification Using Dictionary Screening
Jing Zhou
Xinru Jing
Mu Liu
Hansheng Wang
189
0
0
23 Nov 2022
Is Smaller Always Faster? Tradeoffs in Compressing Self-Supervised Speech Transformers
Is Smaller Always Faster? Tradeoffs in Compressing Self-Supervised Speech Transformers
Tzu-Quan Lin
Tsung-Huan Yang
Chun-Yao Chang
Kuang-Ming Chen
Tzu-hsun Feng
Hung-yi Lee
Hao Tang
336
6
0
17 Nov 2022
Deep learning model compression using network sensitivity and gradients
Deep learning model compression using network sensitivity and gradients
M. Sakthi
N. Yadla
Raj Pawate
228
2
0
11 Oct 2022
Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded
  Chipsets
Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded ChipsetsInternational Conference on Text, Speech and Dialogue (TSD), 2022
Lu Zeng
S. Parthasarathi
Yuzong Liu
Alex Escott
S. Cheekatmalla
N. Strom
S. Vitaladevuni
MQ
281
9
0
13 Jul 2022
SEOFP-NET: Compression and Acceleration of Deep Neural Networks for
  Speech Enhancement Using Sign-Exponent-Only Floating-Points
SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points
Yu-Chen Lin
Cheng Yu
Y. Hsu
Szu-Wei Fu
Yu Tsao
Tei-Wei Kuo
160
7
0
08 Nov 2021
Amortized Neural Networks for Low-Latency Speech Recognition
Amortized Neural Networks for Low-Latency Speech Recognition
J. Macoskey
Grant P. Strimel
Jinru Su
Ariya Rastrow
235
20
0
03 Aug 2021
CoDERT: Distilling Encoder Representations with Co-learning for
  Transducer-based Speech Recognition
CoDERT: Distilling Encoder Representations with Co-learning for Transducer-based Speech RecognitionInterspeech (Interspeech), 2021
Rupak Vignesh Swaminathan
Brian King
Grant P. Strimel
J. Droppo
Athanasios Mouchtaris
372
16
0
14 Jun 2021
Spectral Pruning for Recurrent Neural Networks
Spectral Pruning for Recurrent Neural NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Takashi Furuya
Kazuma Suetake
K. Taniguchi
Hiroyuki Kusumoto
Ryuji Saiin
Tomohiro Daimon
225
4
0
23 May 2021
Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization
Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization
Byeongwook Kim
Dongsoo Lee
Yeonju Ro
Yongkweon Jeon
S. Kwon
Baeseong Park
Daehwan Oh
MQ
257
1
0
05 May 2021
Dynamic Encoder Transducer: A Flexible Solution For Trading Off Accuracy
  For Latency
Dynamic Encoder Transducer: A Flexible Solution For Trading Off Accuracy For LatencyInterspeech (Interspeech), 2021
Yangyang Shi
Varun K. Nagaraja
Chunyang Wu
Jay Mahadeokar
Duc Le
...
Ching-Feng Yeh
Julian Chan
Christian Fuegen
Ozlem Kalinli
M. Seltzer
298
16
0
05 Apr 2021
Compression of Deep Learning Models for Text: A Survey
Compression of Deep Learning Models for Text: A SurveyACM Transactions on Knowledge Discovery from Data (TKDD), 2020
Manish Gupta
Puneet Agrawal
VLMMedImAI4CE
696
142
0
12 Aug 2020
Learning to associate detections for real-time multiple object tracking
Learning to associate detections for real-time multiple object tracking
Michel C. Meneses
L. Matos
Bruno O. Prado
André C. P. L. F. de Carvalho
Hendrik T. Macedo
VOT
339
6
0
12 Jul 2020
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and
  Solutions
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions
Chung-Cheng Chiu
A. Narayanan
Wei Han
Rohit Prabhavalkar
Yu Zhang
...
Ruoming Pang
Tara N. Sainath
Patrick Nguyen
Liangliang Cao
Yonghui Wu
521
44
0
07 May 2020
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and SurveyJournal of Artificial Intelligence Research (JAIR), 2019
Felix Stahlberg
3DVAI4TSMedIm
486
404
0
04 Dec 2019
Structured Sparsification of Gated Recurrent Neural Networks
Structured Sparsification of Gated Recurrent Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2019
E. Lobacheva
Nadezhda Chirkova
Alexander Markovich
Dmitry Vetrov
302
3
0
13 Nov 2019
AntMan: Sparse Low-Rank Compression to Accelerate RNN inference
AntMan: Sparse Low-Rank Compression to Accelerate RNN inference
Samyam Rajbhandari
H. Shrivastava
J. Rho
MQ
166
9
0
02 Oct 2019
State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention
  With Dilated 1D Convolutions
State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention With Dilated 1D ConvolutionsAutomatic Speech Recognition & Understanding (ASRU), 2019
Kyu Jeong Han
R. Prieto
Kaixing(Kai) Wu
T. Ma
343
77
0
01 Oct 2019
In-training Matrix Factorization for Parameter-frugal Neural Machine
  Translation
In-training Matrix Factorization for Parameter-frugal Neural Machine Translation
Zachary Kaden
Teven Le Scao
R. Olivier
183
1
0
27 Sep 2019
Restricted Recurrent Neural Networks
Restricted Recurrent Neural Networks
Enmao Diao
Jie Ding
Vahid Tarokh
217
21
0
21 Aug 2019
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning
ShrinkML: End-to-End ASR Model Compression Using Reinforcement LearningInterspeech (Interspeech), 2019
Łukasz Dudziak
Mohamed S. Abdelfattah
Ravichander Vipperla
Stefanos Laskaridis
Nicholas D. Lane
OffRL
354
20
0
08 Jul 2019
Compression of Acoustic Event Detection Models With Quantized
  Distillation
Compression of Acoustic Event Detection Models With Quantized DistillationInterspeech (Interspeech), 2019
Bowen Shi
Ming Sun
Chieh-Chi Kao
Viktor Rozgic
Spyros Matsoukas
Chao Wang
156
14
0
01 Jul 2019
Structured Pruning of Recurrent Neural Networks through Neuron Selection
Structured Pruning of Recurrent Neural Networks through Neuron SelectionNeural Networks (NN), 2019
Liangjiang Wen
Xuanyang Zhang
Haoli Bai
Zenglin Xu
192
43
0
17 Jun 2019
Learning Low-Rank Approximation for CNNs
Learning Low-Rank Approximation for CNNs
Dongsoo Lee
S. Kwon
Byeongwook Kim
Gu-Yeon Wei
331
25
0
24 May 2019
MobiVSR: A Visual Speech Recognition Solution for Mobile Devices
MobiVSR: A Visual Speech Recognition Solution for Mobile Devices
Nilay Shrivastava
Astitwa Saxena
Yaman Kumar Singla
Preeti Kaur
Debanjan Mahata
R. Shah
336
3
0
10 May 2019
Compression of Acoustic Event Detection Models with Low-rank Matrix
  Factorization and Quantization Training
Compression of Acoustic Event Detection Models with Low-rank Matrix Factorization and Quantization Training
Bowen Shi
Ming Sun
Chieh-Chi Kao
Viktor Rozgic
Spyros Matsoukas
Chao Wang
174
15
0
02 May 2019
Compression of Recurrent Neural Networks for Efficient Language Modeling
Compression of Recurrent Neural Networks for Efficient Language Modeling
Artem M. Grachev
D. Ignatov
Andrey V. Savchenko
237
43
0
06 Feb 2019
Low-Dimensional Bottleneck Features for On-Device Continuous Speech
  Recognition
Low-Dimensional Bottleneck Features for On-Device Continuous Speech Recognition
David B. Ramsay
Kevin Kilgour
Dominik Roblek
Matthew Sharifi
BDL
142
4
0
31 Oct 2018
DeepTwist: Learning Model Compression via Occasional Weight Distortion
DeepTwist: Learning Model Compression via Occasional Weight Distortion
Dongsoo Lee
Parichay Kapoor
Byeongwook Kim
169
19
0
30 Oct 2018
Layer Trajectory LSTM
Layer Trajectory LSTM
Jinyu Li
Changliang Liu
Jiawei Liu
181
19
0
28 Aug 2018
A study on speech enhancement using exponent-only floating point
  quantized neural network (EOFP-QNN)
A study on speech enhancement using exponent-only floating point quantized neural network (EOFP-QNN)
Y. Hsu
Yu-Chen Lin
Szu-Wei Fu
Yu Tsao
Tei-Wei Kuo
MQ
262
15
0
17 Aug 2018
Filter Distillation for Network Compression
Filter Distillation for Network CompressionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2018
Xavier Suau
Luca Zappella
N. Apostoloff
358
41
0
20 Jul 2018
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent
  Neural Network on Mobile Devices
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices
Jie Zhang
Xiaolong Wang
Dawei Li
Yalin Wang
244
14
0
04 Jun 2018
Snips Voice Platform: an embedded Spoken Language Understanding system
  for private-by-design voice interfaces
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
A. Coucke
Alaa Saade
Adrien Ball
Théodore Bluche
A. Caulier
...
Thibault Gisselbrecht
F. Caltagirone
Thibaut Lavril
Maël Primet
Joseph Dureau
SyDa
576
905
0
25 May 2018
Recent Progresses in Deep Learning based Acoustic Models (Updated)
Recent Progresses in Deep Learning based Acoustic Models (Updated)
Dong Yu
Jinyu Li
VLM
288
164
0
25 Apr 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A SurveyIEEE Communications Surveys and Tutorials (COMST), 2018
Chaoyun Zhang
P. Patras
Hamed Haddadi
514
1,478
0
12 Mar 2018
Learning Compact Recurrent Neural Networks with Block-Term Tensor
  Decomposition
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
Jinmian Ye
Linnan Wang
Guangxi Li
Di Chen
Shandian Zhe
Xinqi Chu
Zenglin Xu
343
145
0
14 Dec 2017
Streaming Small-Footprint Keyword Spotting using Sequence-to-Sequence
  Models
Streaming Small-Footprint Keyword Spotting using Sequence-to-Sequence ModelsAutomatic Speech Recognition & Understanding (ASRU), 2017
Yanzhang He
Rohit Prabhavalkar
Kanishka Rao
Wei Li
A. Bakhtin
Ian McGraw
AI4TS
237
95
0
26 Oct 2017
Trace norm regularization and faster inference for embedded speech
  recognition RNNs
Trace norm regularization and faster inference for embedded speech recognition RNNs
Markus Kliegl
Siddharth Goyal
Kexin Zhao
Kavya Srinet
Mohammad Shoeybi
231
8
0
25 Oct 2017
Learning Intrinsic Sparse Structures within Long Short-Term Memory
Learning Intrinsic Sparse Structures within Long Short-Term Memory
W. Wen
Yuxiong He
Samyam Rajbhandari
Minjia Zhang
Wenhan Wang
Fang Liu
Bin Hu
Yiran Chen
Xue Yang
MQ
608
143
0
15 Sep 2017
An Embedded Deep Learning based Word Prediction
An Embedded Deep Learning based Word Prediction
Seunghak Yu
Nilesh Kulkarni
Haejun Lee
J. Kim
138
0
0
06 Jul 2017
Unfolding and Shrinking Neural Machine Translation Ensembles
Unfolding and Shrinking Neural Machine Translation Ensembles
Felix Stahlberg
Bill Byrne
MoE
269
13
0
11 Apr 2017
The Incredible Shrinking Neural Network: New Perspectives on Learning
  Representations Through The Lens of Pruning
The Incredible Shrinking Neural Network: New Perspectives on Learning Representations Through The Lens of Pruning
Aditya Sharma
Nikolas Wolfe
Bhiksha Raj
178
19
0
16 Jan 2017
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using
  Householder Reflections
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
Zakaria Mhammedi
Andrew D. Hellicar
Ashfaqur Rahman
James Bailey
700
139
0
01 Dec 2016
On the efficient representation and execution of deep acoustic models
On the efficient representation and execution of deep acoustic modelsInterspeech (Interspeech), 2016
R. Álvarez
Rohit Prabhavalkar
A. Bakhtin
MQ
189
56
0
15 Jul 2016
Compression of Neural Machine Translation Models via Pruning
Compression of Neural Machine Translation Models via PruningConference on Computational Natural Language Learning (CoNLL), 2016
A. See
Minh-Thang Luong
Christopher D. Manning
MedImVLM
235
224
0
29 Jun 2016
Sequence-Level Knowledge Distillation
Sequence-Level Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP), 2016
Yoon Kim
Alexander M. Rush
705
1,297
0
25 Jun 2016
Personalized Speech recognition on mobile devices
Personalized Speech recognition on mobile devices
Ian McGraw
Rohit Prabhavalkar
R. Álvarez
Montse Gonzalez Arenas
Kanishka Rao
...
O. Alsharif
Hasim Sak
A. Gruenstein
F. Beaufays
Carolina Parada
266
198
0
10 Mar 2016
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