Text rhythm hierarchical structure prediction method, apparatus and device, and storage medium

• Main Authors: WU ZHIYONG, DU YAO, KANG SHIYIN
• Format: Patent
• Language: Chinese; English
• Published: 03.12.2019
• Subjects: ACOUSTICS; MUSICAL INSTRUMENTS; PHYSICS; SPEECH ANALYSIS OR SYNTHESIS; SPEECH OR AUDIO CODING OR DECODING; SPEECH OR VOICE PROCESSING; SPEECH RECOGNITION

The embodiment of the invention discloses rhythm hierarchical structure prediction method, apparatus and device based on artificial intelligence and a storage medium. The method comprises the steps: obtaining a target text; performing word segmentation and part-of-speech tagging on the target text to obtain a word segmentation tagging sequence; performing word-level feature extraction according tothe word segmentation annotation sequence to obtain a word-level feature sequence, wherein the word-level feature of each word in the word-level feature sequence at least comprises a word vector obtained by semantic feature extraction; and obtaining a rhythm hierarchical structure sequence corresponding to the word-level feature sequence through a rhythm hierarchical structure prediction model, wherein the rhythm hierarchical structure prediction model is a deep neural network model based on a self-attention mechanism. According to the method, the prediction precision of the rhythm hierarchical structure can be effec