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Exploring Neural Transducers for End-to-End Speech Recognition

Exploring Neural Transducers for End-to-End Speech Recognition

24 July 2017
Eric Battenberg
Jitong Chen
R. Child
Adam Coates
Yashesh Gaur Yi Li
Yi Li
Hairong Liu
S. Satheesh
David Seetapun
Anuroop Sriram
Zhenyao Zhu
    AI4TS
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Papers citing "Exploring Neural Transducers for End-to-End Speech Recognition"

45 / 45 papers shown
Title
Two-pass Endpoint Detection for Speech Recognition
Two-pass Endpoint Detection for Speech Recognition
A. Raju
Aparna Khare
Di He
Ilya Sklyar
Long Chen
...
Zhe Zhang
Colin Vaz
Venkatesh Ravichandran
Roland Maas
Ariya Rastrow
30
0
0
17 Jan 2024
Semi-Autoregressive Streaming ASR With Label Context
Semi-Autoregressive Streaming ASR With Label Context
Siddhant Arora
G. Saon
Shinji Watanabe
Brian Kingsbury
AI4TS
23
5
0
19 Sep 2023
Neural Transducer Training: Reduced Memory Consumption with Sample-wise
  Computation
Neural Transducer Training: Reduced Memory Consumption with Sample-wise Computation
Stefan Braun
Erik McDermott
Roger Hsiao
34
1
0
29 Nov 2022
Streaming, fast and accurate on-device Inverse Text Normalization for
  Automatic Speech Recognition
Streaming, fast and accurate on-device Inverse Text Normalization for Automatic Speech Recognition
Yashesh Gaur
Nick Kibre
Jian Xue
Kangyuan Shu
Yuhui Wang
Issac Alphonso
Jinyu Li
Y. Gong
16
6
0
07 Nov 2022
Joint Audio/Text Training for Transformer Rescorer of Streaming Speech
  Recognition
Joint Audio/Text Training for Transformer Rescorer of Streaming Speech Recognition
Suyoun Kim
Ke Li
Lucas Kabela
Rongqing Huang
Jiedan Zhu
Ozlem Kalinli
Duc Le
25
8
0
31 Oct 2022
Knowledge Transfer and Distillation from Autoregressive to
  Non-Autoregressive Speech Recognition
Knowledge Transfer and Distillation from Autoregressive to Non-Autoregressive Speech Recognition
Xun Gong
Zhikai Zhou
Y. Qian
20
3
0
15 Jul 2022
Deep Learning Enabled Semantic Communications with Speech Recognition
  and Synthesis
Deep Learning Enabled Semantic Communications with Speech Recognition and Synthesis
Zhenzi Weng
Zhijin Qin
Xiaoming Tao
Chengkang Pan
Guangyi Liu
Geoffrey Ye Li
33
131
0
09 May 2022
BERT-LID: Leveraging BERT to Improve Spoken Language Identification
BERT-LID: Leveraging BERT to Improve Spoken Language Identification
Yuting Nie
Junhong Zhao
Weiqiang Zhang
Jinfeng Bai
VLM
20
5
0
01 Mar 2022
Improving the fusion of acoustic and text representations in RNN-T
Improving the fusion of acoustic and text representations in RNN-T
Chao Zhang
Bo-wen Li
Zhiyun Lu
Tara N. Sainath
Shuo-yiin Chang
AI4CE
43
12
0
25 Jan 2022
A Likelihood Ratio based Domain Adaptation Method for E2E Models
A Likelihood Ratio based Domain Adaptation Method for E2E Models
Chhavi Choudhury
Ankur Gandhe
Xiaohan Ding
I. Bulyko
16
10
0
10 Jan 2022
Sequence-level self-learning with multiple hypotheses
Sequence-level self-learning with multiple hypotheses
K. Kumatani
Dimitrios Dimitriadis
Yashesh Gaur
R. Gmyr
Sefik Emre Eskimez
Jinyu Li
Michael Zeng
SSL
20
1
0
10 Dec 2021
Cross-attention conformer for context modeling in speech enhancement for
  ASR
Cross-attention conformer for context modeling in speech enhancement for ASR
A. Narayanan
Chung-Cheng Chiu
Tom O'Malley
Quan Wang
Yanzhang He
24
14
0
30 Oct 2021
Factorized Neural Transducer for Efficient Language Model Adaptation
Factorized Neural Transducer for Efficient Language Model Adaptation
Xie Chen
Zhong Meng
S. Parthasarathy
Jinyu Li
15
39
0
27 Sep 2021
End-to-End Speech Recognition from Federated Acoustic Models
End-to-End Speech Recognition from Federated Acoustic Models
Yan Gao
Titouan Parcollet
Salah Zaiem
Javier Fernandez-Marques
Pedro Porto Buarque de Gusmão
Daniel J. Beutel
Nicholas D. Lane
15
43
0
29 Apr 2021
HMM-Free Encoder Pre-Training for Streaming RNN Transducer
HMM-Free Encoder Pre-Training for Streaming RNN Transducer
Lu Huang
J. Sun
Yu Tang
Junfeng Hou
Jinkun Chen
Jun Zhang
Zejun Ma
22
3
0
02 Apr 2021
A study of latent monotonic attention variants
A study of latent monotonic attention variants
Albert Zeyer
Ralf Schluter
Hermann Ney
18
5
0
30 Mar 2021
Advancing RNN Transducer Technology for Speech Recognition
Advancing RNN Transducer Technology for Speech Recognition
G. Saon
Zoltan Tueske
Daniel Bolaños
Brian Kingsbury
23
86
0
17 Mar 2021
Deep Shallow Fusion for RNN-T Personalization
Deep Shallow Fusion for RNN-T Personalization
Duc Le
Gil Keren
Julian Chan
Jay Mahadeokar
Christian Fuegen
M. Seltzer
21
77
0
16 Nov 2020
Improving RNN Transducer Based ASR with Auxiliary Tasks
Improving RNN Transducer Based ASR with Auxiliary Tasks
Chunxi Liu
Frank Zhang
Duc Le
Suyoun Kim
Yatharth Saraf
Geoffrey Zweig
23
49
0
05 Nov 2020
Transformer-based End-to-End Speech Recognition with Local Dense
  Synthesizer Attention
Transformer-based End-to-End Speech Recognition with Local Dense Synthesizer Attention
Menglong Xu
Shengqiang Li
Xiao-Lei Zhang
22
31
0
23 Oct 2020
Developing Real-time Streaming Transformer Transducer for Speech
  Recognition on Large-scale Dataset
Developing Real-time Streaming Transformer Transducer for Speech Recognition on Large-scale Dataset
Xie Chen
Yu-Huan Wu
Zhenghao Wang
Shujie Liu
Jinyu Li
17
169
0
22 Oct 2020
Improving Tail Performance of a Deliberation E2E ASR Model Using a Large
  Text Corpus
Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus
Cal Peyser
S. Mavandadi
Tara N. Sainath
J. Apfel
Ruoming Pang
Shankar Kumar
21
46
0
24 Aug 2020
Distilling the Knowledge of BERT for Sequence-to-Sequence ASR
Distilling the Knowledge of BERT for Sequence-to-Sequence ASR
Hayato Futami
H. Inaguma
Sei Ueno
Masato Mimura
S. Sakai
Tatsuya Kawahara
19
50
0
09 Aug 2020
Modular End-to-end Automatic Speech Recognition Framework for
  Acoustic-to-word Model
Modular End-to-end Automatic Speech Recognition Framework for Acoustic-to-word Model
Qi Liu
Zhehuai Chen
Hao Li
Mingkun Huang
Yizhou Lu
Kai Yu
13
6
0
31 Jul 2020
A Comparison of Label-Synchronous and Frame-Synchronous End-to-End
  Models for Speech Recognition
A Comparison of Label-Synchronous and Frame-Synchronous End-to-End Models for Speech Recognition
Linhao Dong
Cheng Yi
Jianzong Wang
Shiyu Zhou
Shuang Xu
X. Jia
Bo Xu
36
17
0
20 May 2020
Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict
Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict
Yosuke Higuchi
Shinji Watanabe
Nanxin Chen
Tetsuji Ogawa
Tetsunori Kobayashi
17
136
0
18 May 2020
Incremental Learning for End-to-End Automatic Speech Recognition
Incremental Learning for End-to-End Automatic Speech Recognition
Li Fu
Xiaoxiao Li
Libo Zi
Zhengchen Zhang
Youzheng Wu
Xiaodong He
Bowen Zhou
CLL
32
23
0
11 May 2020
Exploring Pre-training with Alignments for RNN Transducer based
  End-to-End Speech Recognition
Exploring Pre-training with Alignments for RNN Transducer based End-to-End Speech Recognition
Hu Hu
Rui Zhao
Jinyu Li
Liang Lu
Y. Gong
11
27
0
01 May 2020
Minimum Latency Training Strategies for Streaming Sequence-to-Sequence
  ASR
Minimum Latency Training Strategies for Streaming Sequence-to-Sequence ASR
H. Inaguma
Yashesh Gaur
Liang Lu
Jinyu Li
Y. Gong
AI4TS
25
46
0
10 Apr 2020
High-Accuracy and Low-Latency Speech Recognition with Two-Head
  Contextual Layer Trajectory LSTM Model
High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model
Jinyu Li
Rui Zhao
Eric Sun
J. H. M. Wong
Amit Das
Zhong Meng
Y. Gong
VLM
11
24
0
17 Mar 2020
Hybrid Autoregressive Transducer (hat)
Hybrid Autoregressive Transducer (hat)
Ehsan Variani
David Rybach
Cyril Allauzen
Michael Riley
16
158
0
12 Mar 2020
Imputer: Sequence Modelling via Imputation and Dynamic Programming
Imputer: Sequence Modelling via Imputation and Dynamic Programming
William Chan
Chitwan Saharia
Geoffrey E. Hinton
Mohammad Norouzi
Navdeep Jaitly
BDL
AI4TS
18
114
0
20 Feb 2020
Single headed attention based sequence-to-sequence model for
  state-of-the-art results on Switchboard
Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard
Zoltán Tüske
G. Saon
Kartik Audhkhasi
Brian Kingsbury
BDL
23
68
0
20 Jan 2020
Transformer-Transducer: End-to-End Speech Recognition with
  Self-Attention
Transformer-Transducer: End-to-End Speech Recognition with Self-Attention
Ching-Feng Yeh
Jay Mahadeokar
Kaustubh Kalgaonkar
Yongqiang Wang
Duc Le
Mahaveer Jain
Kjell Schubert
Christian Fuegen
M. Seltzer
13
147
0
28 Oct 2019
Recognizing long-form speech using streaming end-to-end models
Recognizing long-form speech using streaming end-to-end models
A. Narayanan
Rohit Prabhavalkar
Chung-Cheng Chiu
David Rybach
Tara N. Sainath
Trevor Strohman
16
129
0
24 Oct 2019
Adversarial Example Detection by Classification for Deep Speech
  Recognition
Adversarial Example Detection by Classification for Deep Speech Recognition
Saeid Samizade
Z. Tan
Chao Shen
X. Guan
AAML
16
35
0
22 Oct 2019
OmniNet: A unified architecture for multi-modal multi-task learning
OmniNet: A unified architecture for multi-modal multi-task learning
Subhojeet Pramanik
Priyanka Agrawal
A. Hussain
24
41
0
17 Jul 2019
Listen, Attend, Spell and Adapt: Speaker Adapted Sequence-to-Sequence
  ASR
Listen, Attend, Spell and Adapt: Speaker Adapted Sequence-to-Sequence ASR
F. Weninger
Jesús Andrés-Ferrer
Xinwei Li
P. Zhan
AI4TS
21
26
0
08 Jul 2019
The Architectural Implications of Facebook's DNN-based Personalized
  Recommendation
The Architectural Implications of Facebook's DNN-based Personalized Recommendation
Udit Gupta
Carole-Jean Wu
Xiaodong Wang
Maxim Naumov
Brandon Reagen
...
Andrey Malevich
Dheevatsa Mudigere
M. Smelyanskiy
Liang Xiong
Xuan Zhang
GNN
30
290
0
06 Jun 2019
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention -- w/o Data
  Augmentation
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention -- w/o Data Augmentation
Christoph Luscher
Eugen Beck
Kazuki Irie
M. Kitza
Wilfried Michel
Albert Zeyer
Ralf Schluter
Hermann Ney
VLM
11
234
0
08 May 2019
Speaker Adaptation for End-to-End CTC Models
Speaker Adaptation for End-to-End CTC Models
Ke Li
Jinyu Li
Yong Zhao
Kshitiz Kumar
Y. Gong
16
24
0
04 Jan 2019
Automatic Grammar Augmentation for Robust Voice Command Recognition
Automatic Grammar Augmentation for Robust Voice Command Recognition
Yang Yang
Anusha Lalitha
Jinwon Lee
Chris Lott
21
3
0
14 Nov 2018
Improving the Performance of Online Neural Transducer Models
Improving the Performance of Online Neural Transducer Models
Tara N. Sainath
Chung-Cheng Chiu
Rohit Prabhavalkar
Anjuli Kannan
Yonghui Wu
Patrick Nguyen
Z. Chen
AI4TS
22
49
0
05 Dec 2017
Deep Learning Scaling is Predictable, Empirically
Deep Learning Scaling is Predictable, Empirically
Joel Hestness
Sharan Narang
Newsha Ardalani
G. Diamos
Heewoo Jun
Hassan Kianinejad
Md. Mostofa Ali Patwary
Yang Yang
Yanqi Zhou
40
711
0
01 Dec 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
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