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cs.CL2024
AlignCap: Aligning Speech Emotion Captioning to Human Preferences
Ziqi Liang, Haoxiang Shi, Hanhui Chen
Speech Emotion Captioning (SEC) has gradually become an active research task. The emotional content conveyed through human speech are often complex, and classifying them into fixed…
cs.CL2024
QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering
Sheng Ouyang, Jianzong Wang, Yong Zhang +5
Extractive Question Answering (EQA) in Machine Reading Comprehension (MRC) often faces the challenge of dealing with semantically identical but format-variant inputs. Our work intr…
cs.CL2022
Efficiently Trained Low-Resource Mongolian Text-to-Speech System Based On FullConv-TTS
Ziqi Liang
Recurrent Neural Networks (RNNs) have become the standard modeling technique for sequence data, and are used in a number of novel text-to-speech models. However, training a TTS mod…