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Audio-visual speaker identification with multi-view ...

    https://www.researchgate.net/publication/221123933_Audio-visual_speaker_identification_with_multi-view_distance_metric_learning
    Both audio and visual information can be useful for speaker identification in videos. This paper proposes an audio-visual speaker identification approach that benefits from a …

Audio-visual speaker identification with multi-view ...

    http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005653016
    Both audio and visual information can be useful for speaker identification in videos. This paper proposes an audio-visual speaker identification approach that benefits from a multi-view distance metric learning method. Our metric learning scheme not only builds distance measures based on the label information of training data but also the consistency of different views. In …

AI Based Audio Recognition System For Visually And …

    https://www.researchgate.net/publication/347268873_AI_Based_Audio_Recognition_System_For_Visually_And_Audibly_Challenged
    This paper proposes an audio-visual speaker identification approach that benefits from a multi-view distance metric learning method. Our metric learning scheme not …

Deep Metric Learning-Assisted 3D Audio-Visual Speaker ...

    https://www.hindawi.com/journals/complexity/2020/3764309/
    For speaker tracking, integrating multimodal information from audio and video provides an effective and promising solution. The current challenges are focused on the construction of a stable observation model. To this end, we propose a 3D audio-visual speaker tracker assisted by deep metric learning on the two-layer particle filter framework.

Dual-modality Talking-metrics: 3D Visual-Audio …

    https://www.researchgate.net/publication/329314273_Dual-modality_Talking-metrics_3D_Visual-Audio_Integrated_Behaviometric_Cues_from_Speakers
    This paper proposes an audio-visual speaker identification approach that benefits from a multi-view distance metric learning method. Our metric learning scheme not …

Multi-scenario dataset for speaker recognition | Request …

    https://www.researchgate.net/publication/323982236_Multi-scenario_dataset_for_speaker_recognition
    This paper proposes an audio-visual speaker identification approach that benefits from a multi-view distance metric learning method. Our metric learning scheme not …

Multiview Metric Learning with Global Consistency and ...

    https://dl.acm.org/doi/10.1145/2168752.2168767
    Audio-visual speaker identification with multiview distance metric learning. In Proceedings of the IEEE 17th International Conference on Image Processing . 4561- …

Co-metric: a metric learning algorithm for data with ...

    https://link.springer.com/article/10.1007/s11704-013-2110-x
    Zheng H, Wang M, Li Z. Audio-visual speaker identification with multi-view distance metric learning. In: Proceedings of the 17th IEEE International Conference on Image Processing. 4561–4564. 5. Zhai D, Chang H, Shan S, Chen X, Gao W. Multiview metric learning with global consistency and local smoothness.

Self-supervised learning for audio-visual speaker ...

    https://deepai.org/publication/self-supervised-learning-for-audio-visual-speaker-diarization
    Self-supervised learning for audio-visual speaker diarization. 02/13/2020 ∙ by Yifan Ding, et al. ∙ 10 ∙ share . Speaker diarization, which is to find the speech segments of specific speakers, has been widely used in human-centered applications such as video conferences or human-computer interaction systems.

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