Integration of acoustic and visual speech signals using neural networks

Yuhas, B.P., Goldstein, M.H., Sejnowski, T.J.·1989·IEEE Communications Magazine

Cited by (209)

Items 101–200 of 209

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  7. Audio-Visual Speech Processing for Human Computer Interaction
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    Rama Chellappa, Tsuhan Chen, Aggelos K. Katsaggelos · 1997 · IEEE Signal Processing Magazine
  9. What can visual speech synthesis tell visual speech recognition?
    M.M. Cohen, Dominic W. Massaro · 2002 · Asilomar Conference on Signals, Systems and Computers (ACSSC)
  10. Speechreading using shape and intensity information
    Juergen Luettin, N. A. Thacker, Steve W. Beet · 1996 · International Conference on Spoken Language Processing (ICSLP)
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  13. Arabic Lip-reading System: A Combination of Hypercolumn Neural Network Model with Hidden Markov Model
    Alaa Sagheer, Naoyuki Tsuruta, 直之 鶴田, Rin-ichiro Taniguchi, 倫一郎 谷口, サギール アラー, ナオユキ ツルタ, リンイチロウ タニグチ · 2004 · Kyushu University Institutional Repository (QIR) (Kyushu University)
  14. On the active perception of speech by robots
    Harouna Kabré · 2002 · IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
  15. Sparse Fusion for Multimodal Transformers
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  20. Multimodal Fast–Slow Neural Network for learning engagement evaluation
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  21. Automatic visual speech segmentation and recognition using directional motion history images and Zernike moments
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  24. Fusion of visual and acoustic signals for command-word recognition
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  25. ViST: A Ubiquitous Model with Multimodal Fusion for Crop Growth Prediction
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  26. Audio–visual self-supervised representation learning: A survey
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  31. Neural processing-type displacement sensor employing multimode waveguide
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  32. Direct identification vs. correlated models to process acoustic and articulatory informations in automatic speech recognition
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  33. Collaborative Modality Fusion for Mitigating Language Bias in Visual Question Answering
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  34. Vowel recognition of patients after total laryngectomy using Mel Frequency Cepstral Coefficients and mouth contour
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  35. Lip Tracking Towards an Automatic Lip Reading Approach.
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  39. Models for audiovisual fusion in a noisy-vowel recognition task
    Pascal Teissier, Jean‐Luc Schwartz, Anne Guérin-Dugué · 2002 · IEEE International Workshop on Multimedia Signal Processing (MMSP)
  40. A neural clustering algorithm for estimating visible articulatory trajectory
    Fabio Vignoli, Sergio Curinga, Fabio Lavagetto · 1996 · Lecture notes in computer science
  41. A Multimodal Sensor Fusion Architecture for Audio-Visual Speech Recognition
    Mustapha Makkook · 2007 · UWSpace (University of Waterloo)
  42. Imaging‐genomic spatial‐modality attentive fusion for studying neuropsychiatric disorders
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  44. Review of Lip-Reading Recognition
    Guoli Zheng, Meili Zhu, Lili Feng · 2014 · International Symposium on Computational Intelligence and Design
  45. Fusion Architectures for Word-Based Audiovisual Speech Recognition
    Michael Wand, Jürgen Schmidhuber · 2020 · Interspeech (USB)
  46. Multiview Approaches to Event Detection and Scene Analysis
    Slim Essid, Sanjeel Parekh, Ngoc Q. K. Duong, Romain Serizel, Alexey Ozerov, Fabio Antonacci, Augusto Sarti · 2017 · Springer eBooks
  47. Muscle modeling for facial animation in videophone coding
    Carlo Braccini, Sergio Curinga, Aldo Grattarola, Fabio Lavagetto · 2003 · IEEE RO-MAN
  48. A Comprehensive Review of Multimodal Visual Representation Learning: Tracing the Evolution from CNNs to Transformers and Beyond
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  49. Large language model-enhanced graph neural network for quantile prediction of railway track settlement near deep excavations
    Xiaojing Zhou, Yue Pan, Jianjun Qin, Jin-Jian Chen · 2025 · Advanced Engineering Informatics
  50. CMAViT: Integrating Climate, Management, and Remote Sensing Data for Crop Yield Prediction With Multimodel Vision Transformers
    Hamid Kamangir, B. Sams, Nick Dokoozlian, Luis Sanchez, J. Mason Earles · 2026 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  51. Scattering vs. discrete cosine transform features in visual speech processing.
    Etienne Marcheret, Gerasimos Potamianos, Josef Vopicka, Vaibhava Goel · 2015 · AVSP
  52. Combining acoustic and visual modalities in vowel recognition system for laryngectomees
    Rafał Pietruch, Antoni D. Grzanka · 2010 · Symposium on Neural Network Applications in Electrical Engineering
  53. Fusing Visual and Textual Information to Determine Content Safety
    Rodrigo Leonardo, Amber Hu, Mohammad Uzair, Qiujing Lu, Iris Fu, Keishin Nishiyama, Sooraj Mangalath Subrahmannian, Divyaa Ravichandran · 2019 · International Conference on Machine Learning and Applications
  54. Learning Fuzzy Rules for Visual Speech Recognition
    Mohd Ayaan Anwar, Jim F. Baldwin, Trevor Martin · 2004 · Lecture notes in computer science
  55. A survey on multimodal explainable Artificial Intelligence
    Claudio Giovannoni, Carlo Metta, Anna Monreale, Salvatore Rinzivillo · 2026 · Intelligent Systems with Applications
  56. Multimodal machine learning in real estate appraisal: models, data, and trends
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  57. Augmented classification of Japanese visemes and hierarchical weighted discrimination for visual speech recognition
    Shinsuke Okita, Yasue Mitsukura, Nozomu Hamada · 2013 · IEEE Conference on Systems, Process and Control
  58. A Fusion Approach for Kannada Speech Recognition Using Audio and Visual Cue
    R Shashidhar, M. P. Shashank, G. Jagadamba, Vinayakumar Ravi · 2024 · Smart sensors, measurement and instrumentation
  59. Speaker Recognition Based on Lip-reading
    Dongpeng Shang, Xinman Zhang, Xuebin Xu, Xiangyang Peng · 2018 · International Conference Network, Communication and Computing
  60. Detecting Multi Thoracic Diseases in Chest X-Ray Images Using Deep Learning Techniques
    Sebastián Quevedo, Federico Domínguez, Enrique Peláez · 2023 · International Conference on Pattern Recognition Systems (ICPRS)
  61. Audio-visual speech recognition for a vowel discrimination task
    Peter L. Silsbee, Alan Conrad Bovik · 1993 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
  62. Robustness of a chaotic modal neural network applied to audio-visual speech recognition
    Harouna Kabré · 2002 · Machine learning for signal processing ...
  63. Audio-Visual Transformer Based Crowd Counting
    Usman Sajid, Xiangyu Chen, Hasan Sajid, Taejoon Kim, Guanghui Wang · 2021 · arXiv (Cornell University)
  64. A Comparison of Models for Fusion of the Auditory and Visual Sensors in Speech Perception
    Jordi Robert-Ribes, Jean‐Luc Schwartz, Pierre Escudier · 1995 · Springer eBooks
  65. Lip reading system using novel Japanese visemes classification and hierarchical weighted discrimination
    Shinsuke Okita, Yasue Mitsukura, Nozomu Hamada · 2013 · International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
  66. The aesthetic nature of Chinese-inscribed poetry and painting texts—evidence from eye movements
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  69. Enhancing Robustness in Speech Recognition using Visual Information
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  70. Sentiment Analysis of Telephone Conversations Using Multimodal Data
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  71. Chinese Tone Recognition Based on 3D Dynamic Muscle Information
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  75. Automatic isolation of region of interest for multi-pose Audio Visual Speech Recognition
    Amarsinh Bhimrao Varpe, Prashant L. Borde, Ramesh R. Manza, Pravin Laxmikant Yannawar · 2014 · IEEE India Conference
  76. Audio-visual automatic speech recognition using Dynamic Bayesian Networks
    Helge Reikeras · 2011 · SUNScholar (Stellenbosch University)
  77. Cross-speaker viseme mapping using hidden Markov models
    Liang Dong, Say Wei Foo, Yong Lian · 2004 · International Conference on Information, Communications & Signal Processing (ICICS)
  78. Improving spoken term detection using complementary information
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    Truyen Tran, Dinh Phung, Svetha Venkatesh · 2016 · arXiv (Cornell University)
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  81. Deep Cross-Modal Alignment in Audio-Visual Speech Recognition
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