Development of the Speech-to-Text Chatbot Interface Based on Google API

被引：0

作者：

Shakhovska, Nataliya ^{[1
]}

Basystiuk, Oleh ^{[1
]}

Shakhovska, Khrystyna ^{[1
]}

机构：

[1] Lviv Polytech Natl Univ, UA-79013 Lvov, Ukraine

来源：

MOMLET&DS-2019: MODERN MACHINE LEARNING TECHNOLOGIES AND DATA SCIENCE | 2019年 / 2386卷

关键词：

natural language processing; speech-to-text; Google API; !text type='Python']Python[!/text; Flask; chatbot; hashing; time complexity; prefix-function;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper describes possibilities, which are provided by open APIs, and how to use them for creating unified interfaces using the example of our bot based on Google API. In last decade AI technologies became widespread and easy to implement and use. One of the most perspective technology in the AI field is speech recognition as part of natural language processing. New speech recognition technologies and methods will become a central part of future life because they save a lot of communication time, replacing common texting with voice/audio. In addition, this paper explores the advantages and disadvantages of well- known chatbots. The method of their improvement is built. The algorithms of Rabin-Karp and Knut-Pratt are used. The time complexity of proposed algorithm is compared with existed one.

引用

页码：212 / 221

页数：10

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