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1
Volitive Modalverben im Deutschen und im modernen Chinesisch
In: Zeng, Zhen (2021). Volitive Modalverben im Deutschen und im modernen Chinesisch. Asiatische Studien / Études Asiatiques, 75(4):1107-1154. (2021)
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2
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis ...
Abstract: This paper introduces a graphical representation approach of prosody boundary (GraphPB) in the task of Chinese speech synthesis, intending to parse the semantic and syntactic relationship of input sequences in a graphical domain for improving the prosody performance. The nodes of the graph embedding are formed by prosodic words, and the edges are formed by the other prosodic boundaries, namely prosodic phrase boundary (PPH) and intonation phrase boundary (IPH). Different Graph Neural Networks (GNN) like Gated Graph Neural Network (GGNN) and Graph Long Short-term Memory (G-LSTM) are utilised as graph encoders to exploit the graphical prosody boundary information. Graph-to-sequence model is proposed and formed by a graph encoder and an attentional decoder. Two techniques are proposed to embed sequential information into the graph-to-sequence text-to-speech model. The experimental results show that this proposed approach can encode the phonetic and prosody rhythm of an utterance. The mean opinion score (MOS) of ... : Accepted to SLT 2021 ...
Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD
URL: https://dx.doi.org/10.48550/arxiv.2012.02626
https://arxiv.org/abs/2012.02626
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3
Mandarin and English adults' cue-weighting of lexical stress
Zeng, Zhen (S32750); Mattock, Karen (R17354); Liu, Liquan (R18335). - : France, International Speech Communication Association, 2020
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4
An Recognition–Verification Mechanism for Real-Time Chinese Sign Language Recognition Based on Multi-Information Fusion
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5
Integrating bilingualism, verbal fluency, and executive functioning across the lifespan
Zeng, Zhen (S32750); Kalashnikova, Marina (R17600); Antoniou, Mark (R17772). - : U.S., Psychology Press, 2019
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