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Audio Captions",
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@article{bb370463,
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        TITLE = "Compressed Domain Invariant Adversarial Representation Learning for
Robust Audio Deepfake Detection",
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@article{bb370464,
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        TITLE = "Deepfake Speech Detection: Approaches from Acoustic Features to Deep
Neural Networks",
        JOURNAL = IEICE,
        VOLUME = "E108-D",
        YEAR = "2025",
        NUMBER = "4",
        MONTH = "April",
        PAGES = "300-310",
        BIBSOURCE = "http://www.visionbib.com/bibliography/other1024sa1.html#TT364616"}

@article{bb370465,
        AUTHOR = "Shin, U.H. and Ku, B.H. and Park, H.M.",
        TITLE = "TF-CorrNet: Leveraging Spatial Correlation for Continuous Speech
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@article{bb370466,
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Assessment",
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@article{bb370467,
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        TITLE = "Detecting Hearing Impairment Through Localizing Abnormal Speech
Patterns",
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@article{bb370468,
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        TITLE = "Speech Conv-Mamba: Selective Structured State Space Model With
Temporal Dilated Convolution for Efficient Speech Separation",
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        PAGES = "2015-2019",
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@article{bb370469,
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        TITLE = "Token-Prediction-Based Post-Processing for Low-Bitrate Speech Coding",
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        PAGES = "3235-3239",
        BIBSOURCE = "http://www.visionbib.com/bibliography/other1024sa1.html#TT364621"}

@article{bb370470,
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        TITLE = "ParaLBench: A Large-Scale Benchmark for Computational Paralinguistics
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@article{bb370471,
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        TITLE = "DPARNet-RSE: Toward Angular Region-Customizable Speech Extraction",
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Multi-View EEG Features",
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@inproceedings{bb370473,
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        TITLE = "Deepfakes Audio Detection Leveraging Audio Spectrogram and
Convolutional Neural Networks",
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@inproceedings{bb370474,
        AUTHOR = "Choi, S. and Oh, S. and Yang, J. and Lee, Y. and Kwak, I.Y.",
        TITLE = "Light-weight Frequency Information Aware Neural Network Architecture
for Voice Spoofing Detection",
        BOOKTITLE = "ICPR22",
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@inproceedings{bb370475,
        AUTHOR = "Li, X. and Hu, X. and Chen, X. and Pan, H. and Niu, K.",
        TITLE = "Deep Speaker Embedding Using Hybrid Network of Multi-Feature
Aggregation and Multi-Loss Fusion for TI-SV",
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@inproceedings{bb370476,
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Spoken Dialogue Systems",
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Phoneme Recognition",
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@inproceedings{bb370486,
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