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The Microsoft 2017 Conversational Speech Recognition System
21 August 2017
Wayne Xiong
Lingfeng Wu
F. Alleva
J. Droppo
Xuedong Huang
A. Stolcke
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Papers citing
"The Microsoft 2017 Conversational Speech Recognition System"
50 / 144 papers shown
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Yu Shi
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Transformer Language Models with LSTM-based Cross-utterance Information Representation
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Chuxu Zhang
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Practical Speech Re-use Prevention in Voice-driven Services
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08 Dec 2020
Context-aware RNNLM Rescoring for Conversational Speech Recognition
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Kun Wei
Pengcheng Guo
Hang Lv
Zhen Tu
Lei Xie
206
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18 Nov 2020
Gated Recurrent Fusion with Joint Training Framework for Robust End-to-End Speech Recognition
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Jiangyan Yi
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Zhengqi Wen
122
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09 Nov 2020
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Andrew L. Maas
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26 Oct 2020
Super-Human Performance in Online Low-latency Recognition of Conversational Speech
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S. Stueker
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Machine learning based forecasting of significant daily returns in foreign exchange markets
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Firuz Kamalov
Ikhlaas Gurrib
123
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0
21 Sep 2020
Cross-Utterance Language Models with Acoustic Error Sampling
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142
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Deep learning for photoacoustic imaging: a survey
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Privacy-preserving Artificial Intelligence Techniques in Biomedicine
Reihaneh Torkzadehmahani
Reza Nasirigerdeh
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A. Schwalber
Christof Tschohl
Andrea Wohner
Jan Baumbach
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0
22 Jul 2020
Multi-view Frequency LSTM: An Efficient Frontend for Automatic Speech Recognition
Maarten Van Segbroeck
Sri Harish Reddy Mallidi
Brian King
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Gurpreet Chadha
Roland Maas
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108
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30 Jun 2020
User Intent Inference for Web Search and Conversational Agents
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Ali Ahmadvand
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28 May 2020
End-to-End Far-Field Speech Recognition with Unified Dereverberation and Beamforming
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Xuankai Chang
Shinji Watanabe
Y. Qian
132
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21 May 2020
ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition
Jing Pan
Joshua Shapiro
Jeremy Wohlwend
Kyu Jeong Han
Tao Lei
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155
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21 May 2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
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Xiao Ma
Jiawei Ren
Haiyu Zhao
Shuai Yi
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18 May 2020
The NTNU System at the Interspeech 2020 Non-Native Children's Speech ASR Challenge
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Fu-An Chao
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162
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18 May 2020
Fast and Robust Unsupervised Contextual Biasing for Speech Recognition
Young Mo Kang
Yingbo Zhou
132
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04 May 2020
Multi-level Binarized LSTM in EEG Classification for Wearable Devices
International Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP), 2020
Najmeh Nazari
Seyed Ahmad Mirsalari
Sima Sinaei
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Masoud Daneshtalab
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105
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19 Apr 2020
Multilevel Minimization for Deep Residual Networks
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Alena Kopanicáková
Rolf Krause
204
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13 Apr 2020
Improving Readability for Automatic Speech Recognition Transcription
Junwei Liao
Sefik Emre Eskimez
Liyang Lu
Yu Shi
Ming Gong
Linjun Shou
Hong Qu
Michael Zeng
143
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0
09 Apr 2020
Direct Speech-to-image Translation
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2020
Jiguo Li
Xinfeng Zhang
Chuanmin Jia
Jizheng Xu
Li Zhang
Y. Wang
Siwei Ma
Wen Gao
178
29
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07 Apr 2020
Improving noise robust automatic speech recognition with single-channel time-domain enhancement network
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
K. Kinoshita
Tsubasa Ochiai
Marc Delcroix
Tomohiro Nakatani
136
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0
09 Mar 2020
Deep segmental phonetic posterior-grams based discovery of non-categories in L2 English speech
Xu Li
Xixin Wu
Xunying Liu
Helen Meng
45
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01 Feb 2020
Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard
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Zoltán Tüske
G. Saon
Kartik Audhkhasi
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172
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0
20 Jan 2020
Utterance-level Permutation Invariant Training with Latency-controlled BLSTM for Single-channel Multi-talker Speech Separation
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Lu Huang
Gaofeng Cheng
Pengyuan Zhang
Yi Yang
Shumin Xu
Jiasong Sun
110
8
0
25 Dec 2019
A Cycle-GAN Approach to Model Natural Perturbations in Speech for ASR Applications
Sri Harsha Dumpala
Imran A. Sheikh
Rupayan Chakraborty
Sunil Kumar Kopparapu
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53
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18 Dec 2019
End-to-end training of time domain audio separation and recognition
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Thilo von Neumann
K. Kinoshita
Lukas Drude
Christoph Boeddeker
Marc Delcroix
Tomohiro Nakatani
Reinhold Haeb-Umbach
204
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Plamen Angelov
Eduardo Soares
AAML
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05 Dec 2019
Machine learning for music genre: multifaceted review and experimentation with audioset
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Jaime Ramírez
M. Flores
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28 Nov 2019
Improving N-gram Language Models with Pre-trained Deep Transformer
Yiren Wang
Hongzhao Huang
Zhe Liu
Yutong Pang
Yongqiang Wang
Chengxiang Zhai
Fuchun Peng
73
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0
22 Nov 2019
Forecasting significant stock price changes using neural networks
F. Kamalov
AIFin
229
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21 Nov 2019
Towards a Model for Spoken Conversational Search
Information Processing & Management (IPM), 2019
Johanne R. Trippas
Damiano Spina
Paul Thomas
Mark Sanderson
Hideo Joho
L. Cavedon
198
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29 Oct 2019
An Empirical Study of Efficient ASR Rescoring with Transformers
Hongzhao Huang
Fuchun Peng
KELM
89
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Detecting Multiple Speech Disfluencies using a Deep Residual Network with Bidirectional Long Short-Term Memory
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Tedd Kourkounakis
Amirhossein Hajavi
Ali Etemad
134
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0
17 Oct 2019
SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units for speech recognition
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Atanas G. Atanasov
Tim Ng
Leo Liu
Henry Mason
Xiaodan Zhuang
Daben Liu
175
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04 Oct 2019
Acoustic Model Adaptation from Raw Waveforms with SincNet
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Joachim Fainberg
Ondˇrej Klejch
Erfan Loweimi
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109
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30 Sep 2019
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Daniel J. McDuff
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High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS
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Xiaoyu Sun
Shimeng Yu
Jae-sun Seo
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Feature Engineering and Forecasting via Derivative-free Optimization and Ensemble of Sequence-to-sequence Networks with Applications in Renewable Energy
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Beyond Human-Level Accuracy: Computational Challenges in Deep Learning
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Deaf, Hard of Hearing, and Hearing Perspectives on using Automatic Speech Recognition in Conversation
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Kesavan R. Kushalnagar
Raja S. Kushalnagar
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Jan Mizgajski
Mikolaj Morzy
Adrian Szymczak
Piotr Szymañski
Lukasz Augustyniak
Yishay Carmiel
210
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21 Aug 2019
Survey on Deep Neural Networks in Speech and Vision Systems
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Lasitha Vidyaratne
Alexander M. Glandon
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An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis
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Joonhyun Jeong
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Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition
IEEE Transactions on Affective Computing (TAC), 2019
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
J. Epps
Björn W. Schuller
325
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