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FEATURE-FUSION BASED AUDIO-VISUAL SPEECH RECOGNITION …

    http://www.arpnjournals.org/jeas/research_papers/rp_2015/jeas_1215_3203.pdf#:~:text=Humans%20are%20often%20able%20to%20compensate%20for%20noise,improves%20speech%20recognition%20accuracy%20compared%20with%20audio-only%20approach.
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Multistage information fusion for audio-visual speech ...

    https://www.researchgate.net/publication/4124893_Multistage_information_fusion_for_audio-visual_speech_recognition
    MULTISTAGE INFORMATION FUSION FOR AUDIO-VISUAL SPEECH RECOGNITION . S. M. Chu, V. Libal, E. Marcheret, C. Neti, and G. Potamianos ... Results …

A Multi-Stage Methodology To Setup An ANN/HMM …

    https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.3161
    Keywords: Speech recognition, Audio-visual database, Automatic labeling, ANN/HMM, Audio-visual fusion 1. INTRODUCTION Perceptual studies show that humans use both, the acoustic information and the speakers lips movement to recognize what …

(PDF) Multitask Learning and Multistage Fusion for ...

    https://www.academia.edu/63061253/Multitask_Learning_and_Multistage_Fusion_for_Dimensional_Audiovisual_Emotion_Recognition
    Multitask Learning and Multistage Fusion for Dimensional Audiovisual Emotion Recognition. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020. Bagus Tris Atmaja. Download Download PDF.

Multitask Learning and Multistage Fusion for …

    https://ieeexplore.ieee.org/document/9052916
    Abstract: Due to its ability to accurately predict emotional state using multimodal features, audiovisual emotion recognition has recently gained more interest from researchers. This paper proposes two methods to predict emotional attributes from audio and visual data using a multitask learning and a fusion strategy.

Multistage linguistic conditioning of convolutional layers ...

    https://deepai.org/publication/multistage-linguistic-conditioning-of-convolutional-layers-for-speech-emotion-recognition
    Prior multistage fusion works are primarily based on sequential models. liang2018multimodal do a deep fusion of audio, text, and visual features by extending the LSTM memory component to incorporate multimodal information. tseng2021multimodal combine text tokens and acoustic embeddings using a sigmoid gating function, with each gated token being …

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