Text sentence segmentation method and system

• Main Authors: GAO JIANQING, WANG ZHIGUO, ZHAN JIQING
• Format: Patent
• Language: Chinese; English
• Published: 29.05.2018
• Subjects: ACOUSTICS; CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; MUSICAL INSTRUMENTS; PHYSICS; SPEECH ANALYSIS OR SYNTHESIS; SPEECH OR AUDIO CODING OR DECODING; SPEECH OR VOICE PROCESSING; SPEECH RECOGNITION

The invention discloses a text sentence segmentation method and system. The method comprises following steps: pre-collecting a small amount of textual data and corresponding speech data, constructinga long-term memory segmentation model based on text segmentation features and acoustic segmentation features; when the text is segmented, obtaining the text of the sentence to be segmented and corresponding speech data; extracting text segmentation features and the acoustic segmentation features according to the to-be-segmented text and the speech data corresponding to the to-be-segmented text, respectively; according to the extracted text segmentation features, acoustic segmentation features, and the long-term memory segmentation model, segmenting the to-be-segmented text. The invention can effectively improve the accuracy of text segmentation. 本发明公开了种文本断句方法及系统，该方法包括：预先收集少量文本数据及其对应的语音数据，构建基于文本断句特征和声学断句特征的长时记忆断句模型；在对文本断句时，获取待断句文本及其对应的语音数据；分别根据所述待断句文本及所述待断句文本对应的语音数据提取文本断句特征和声学断句特征；根据提取的文本断句特征、声学断句特征以及所述长时记忆断句模型，对所述