• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 23 matches

• 2023
• 
  Yibo He, Kah Phooi Seng, Li-Minn Ang:
  Multimodal Sensor-Input Architecture with Deep Learning for Audio-Visual Speech Recognition in Wild. Sensors 23(4): 1834 (2023)
• 2022
• 
  Triantafyllos Afouras, Joon Son Chung, Andrew W. Senior, Oriol Vinyals, Andrew Zisserman:
  Deep Audio-Visual Speech Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8717-8727 (2022)
• 
  Hang Chen, Jun Du, Yusheng Dai, Chin-Hui Lee, Sabato Marco Siniscalchi, Shinji Watanabe, Odette Scharenborg, Jingdong Chen, Baocai Yin, Jia Pan:
  Audio-Visual Speech Recognition in MISP2021 Challenge: Dataset Release and Deep Analysis. INTERSPEECH 2022: 1766-1770
• 
  (Withdrawn) Detecting adversarial attacks on audio-visual speech recognition using deep learning method. Int. J. Speech Technol. 25(3): 625-631 (2022)
• 2021
• 
  Zeinab Farhoudi, Saeed Setayeshi:
  Fusion of deep learning features with mixture of brain emotional learning for audio-visual emotion recognition. Speech Commun. 127: 92-103 (2021)
• 2020
• 
  Rongfeng Su, Xunying Liu, Lan Wang, Jingzhou Yang:
  Cross-Domain Deep Visual Feature Generation for Mandarin Audio-Visual Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 28: 185-197 (2020)
• 2019
• 
  Yougen Yuan, Wei Tang, Minhao Fan, Yue Cao, Peng Zhang, Lei Xie:
  Deep Audio-visual System for Closed-set Word-level Speech Recognition. ICMI 2019: 540-545
• 2018
• 
  Mohammad Hasan Rahmani, Farshad Almasganj, Seyyed Ali Seyyedsalehi:
  Audio-visual feature fusion via deep neural networks for automatic speech recognition. Digit. Signal Process. 82: 54-63 (2018)
• 
  Matthijs Van Keirsbilck, Bert Moons, Marian Verhelst:
  Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion. CoRR abs/1803.04840 (2018)
• 
  Triantafyllos Afouras, Joon Son Chung, Andrew W. Senior, Oriol Vinyals, Andrew Zisserman:
  Deep Audio-Visual Speech Recognition. CoRR abs/1809.02108 (2018)
• 
  Devesh Walawalkar, Yihui He, Rohit Pillai:
  An Empirical Analysis of Deep Audio-Visual Models for Speech Recognition. CoRR abs/1812.09336 (2018)
• 2017
• 
  Michalis Papakostas, Evaggelos Spyrou, Theodoros Giannakopoulos, Giorgos Siantikos, Dimitrios Sgouropoulos, Phivos Mylonas, Fillia Makedon:
  Deep Visual Attributes vs. Hand-Crafted Audio Features on Multidomain Speech Emotion Recognition. Comput. 5(2): 26 (2017)
• 
  Hendrik Meutzner, Ning Ma, Robert M. Nickel, Christopher Schymura, Dorothea Kolossa:
  Improving audio-visual speech recognition using deep neural networks with dynamic stream reliability estimates. ICASSP 2017: 5320-5324
• 
  Abhinav Thanda, Shankar M. Venkatesan:
  Multi-task Learning Of Deep Neural Networks For Audio Visual Automatic Speech Recognition. CoRR abs/1701.02477 (2017)
• 2016
• 
  Yajie Miao, Florian Metze:
  Open-Domain Audio-Visual Speech Recognition: A Deep Learning Approach. INTERSPEECH 2016: 3414-3418
• 
  Abhinav Thanda, Shankar M. Venkatesan:
  Audio Visual Speech Recognition Using Deep Recurrent Neural Networks. MPRSS 2016: 98-109
• 
  Abhinav Thanda, Shankar M. Venkatesan:
  Audio Visual Speech Recognition using Deep Recurrent Neural Networks. CoRR abs/1611.02879 (2016)
• 2015
• 
  Kuniaki Noda, Yuki Yamaguchi, Kazuhiro Nakadai, Hiroshi G. Okuno, Tetsuya Ogata:
  Audio-visual speech recognition using deep learning. Appl. Intell. 42(4): 722-737 (2015)
• 
  Satoshi Tamura, Hiroshi Ninomiya, Norihide Kitaoka, Shin Osuga, Yurie Iribe, Kazuya Takeda, Satoru Hayamizu:
  Audio-visual speech recognition using deep bottleneck features and high-performance lipreading. APSIPA 2015: 575-582
• 
  Youssef Mroueh, Etienne Marcheret, Vaibhava Goel:
  Deep multimodal learning for Audio-Visual Speech Recognition. ICASSP 2015: 2130-2134
• 
  Hiroshi Ninomiya, Norihide Kitaoka, Satoshi Tamura, Yurie Iribe, Kazuya Takeda:
  Integration of deep bottleneck features for audio-visual speech recognition. INTERSPEECH 2015: 563-567
• 
  Youssef Mroueh, Etienne Marcheret, Vaibhava Goel:
  Deep Multimodal Learning for Audio-Visual Speech Recognition. CoRR abs/1501.05396 (2015)
• 2013
• 
  Jing Huang, Brian Kingsbury:
  Audio-visual deep learning for noise robust speech recognition. ICASSP 2013: 7596-7599