智能语音分析系统的开发

Y. Seliverstov, Andrey A. Komissarov, Dmitry A. Tsyrkov, Stanislav S. Torsionov, Alina A. Lesovodskaya, Artur V. Podtikhov
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引用次数: 0

摘要

对口语的概念进行了形式化,对口语定量分析的各种方法和途径进行了识别和研究,提出了一种基于话语指标、连通性、流畅性、清晰度、可理解性、调性、情感性、话语意义部分可读性等标准的口语分析方法,建立了多类分类器模型。在文本的部门和情感区分方面,基于已开发的方法,开发了语音分析服务的架构,开发了语音多参数分析模型并在软件中实现,开发了可视化界面,清晰地展示了语音自动分析的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of an Intelligent Speech Analysis System
The concept of oral speech is formalized, various methods and approaches for the quantitative analysis of oral speech are identified and studied, a methodology for analyzing oral speech is developed based on discursive indicators, criteria for connectedness, fluency, clarity, intelligibility, tonality, emotionality of speech, readability of the meaningful part of speech, models of multiclass classifiers are built. in terms of sectoral and emotional differentiation of texts, the architecture of the oral speech analysis service is being developed, based on the developed methodology, models of multi-parameter analysis of oral speech are being developed and implemented in software, a visual interface is being developed that clearly demonstrates the results of automatic analysis of oral speech.
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