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Hybrid CTC-Attention Network-Based End-to-End Speech Recognition System for Korean Language.

, , , , and . J. Web Eng., (2022)

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Convolutional Neural Networks Using Log Mel-Spectrogram Separation for Audio Event Classification with Unknown Devices., , and . J. Web Eng., (2022)Self-Attentive Multi Layer Aggregation with Feature Recalibration and Normalization for End-to-End Speaker Verification System., and . CoRR, (2020)Blank Collapse: Compressing CTC emission for the faster decoding., , , and . CoRR, (2022)Unified Speech-Text Pretraining for Spoken Dialog Modeling., , , , , , , , , and . CoRR, (2024)Environmental Noise Robustness for Korean Fricatives Using Speech Enhancement Generative Adversarial Networks., , , , , , and . BigComp, page 1-4. IEEE, (2019)Encoder-decoder multimodal speaker change detection., , , , , , , and . CoRR, (2023)Shortcut Connections Based Deep Speaker Embeddings for End-to-End Speaker Verification System., , , , , , , and . INTERSPEECH, page 2928-2932. ISCA, (2019)Shallow Convolution-Augmented Transformer with Differentiable Neural Computer for Low-Complexity Classification of Variable-Length Acoustic Scene., , and . Interspeech, page 576-580. ISCA, (2021)Masked cross self-attention encoding for deep speaker embedding., , , and . CoRR, (2020)Hybrid CTC-Attention Network-Based End-to-End Speech Recognition System for Korean Language., , , , and . J. Web Eng., (2022)