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Articulatory-to-Acoustic conversion using BiLSTM-CNN word-attention-based method

453 阅读 2023-10-18 11:56:12 上传

分贝仪/声级计/噪声测量仪 Laryngograph电子声门仪/喉头仪EGG-D200 Glottal电子声门仪|喉头仪EG2-PCX2 KAYPENTAX鼻流计/鼻音计6500 Glottal言语发音空气动力学系统/气流气压仪MS110

          Along with the popularity of artificial intelligence, manmachine interaction technology has put forward higher requirements for speech processing technology, and it is hoped that intelligent products, such as computers and mobile phones, will have the ability to communicate harmoniously with human beings and the ability to express emotions. )e existing technology of emotional speech processing inevitably took advantage of the human pronunciation mechanism, and then human speech is pronounced successfully by the systematic movements through the muscle’s contraction of the vocal organs, such as the tongue, lips, and jaw. )is relationship between articulatory and acoustic data has been formed through the accumulation of a great deal of articulatory experience.

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Articulatory-to-Acoustic conversion using BiLSTM-CNN word-attention-based method.pdf
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