1 citations · 4 across the 9 of their papers we have counts for
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SpeechAccentLLM: A Unified Framework for Foreign Accent Conversion and Text to Speech
Zhuangfei Cheng, Guangyan Zhang, Zehai Tu +6
Foreign accent conversion (FAC) in speech processing remains a challenging task. Building on the remarkable success of large language models (LLMs) in Text-to-Speech (TTS) tasks, t…
Enhancing Segment-Based Speech Emotion Recognition by Deep Self-Learning
Shuiyang Mao, P. C. Ching, Tan Lee
Despite the widespread utilization of deep neural networks (DNNs) for speech emotion recognition (SER), they are severely restricted due to the paucity of labeled data for training…
Advancing Multiple Instance Learning with Attention Modeling for Categorical Speech Emotion Recognition
Shuiyang Mao, P. C. Ching, C. -C. Jay Kuo +1
Categorical speech emotion recognition is typically performed as a sequence-to-label problem, i.e., to determine the discrete emotion label of the input utterance as a whole. One o…
EigenEmo: Spectral Utterance Representation Using Dynamic Mode Decomposition for Speech Emotion Classification
Shuiyang Mao, P. C. Ching, Tan Lee
Human emotional speech is, by its very nature, a variant signal. This results in dynamics intrinsic to automatic emotion classification based on speech. In this work, we explore a…
Emotion Profile Refinery for Speech Emotion Classification
Shuiyang Mao, P. C. Ching, Tan Lee
Human emotions are inherently ambiguous and impure. When designing systems to anticipate human emotions based on speech, the lack of emotional purity must be considered. However, m…