SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing
Weidong Chen,
Xiaofen Xing,
Xiangmin Xu
et al.
Abstract:Paralinguistic speech processing is important in addressing many issues, such as sentiment and neurocognitive disorder analyses. Recently, Transformer has achieved remarkable success in the natural language processing field and has demonstrated its adaptation to speech. However, previous works on Transformer in the speech field have not incorporated the properties of speech, leaving the full potential of Transformer unexplored. In this paper, we consider the characteristics of speech and propose a general stru… Show more
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