Improving Wake-Up-Word and General Speech Recognition Systems
Improving Wake-Up-Word and General Speech Recognition Systems
复制标题
改进唤醒词和通用语音识别系统
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Gamal Bohouta
中科院分区：
文献类型：
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作者：
Veton Këpuska;Gamal Bohouta
本文的目的是设计一个完整的语音识别系统，该系统可以在唤醒词（WUW）和通用自动语音识别（ASR）系统中高精度地工作。WUW是语音识别（SR）中尚未得到广泛认可的一项现代技术。这种新的自动识别系统将用于解决语音识别中最大的问题之一，即如何区分警报和参考上下文中单词或短语的使用。此外，通过使用这种范例，用于与机器交互的命令的准确性，例如一个单词或整个句子，将提高到100%的准确性。由于生活中语音命令的数量不断增加，该模型将成为使用语音命令激活计算机的应用程序的最佳解决方案，例如医疗援助，人机交互，电信行业，家庭自动化和安全访问控制。
The aim of this paper is to design a whole speech recognition system that can work in both the Wake-up-word (WUW) and the General Automatic Speech Recognition (ASR) Systems with high accuracy. WUW is a modern technology in Speech Recognition (SR) that is not yet widely recognized. This new ARS system will be used to solve one of the biggest problems in speech recognition, which is how to discriminate between the uses of a word or phrase in an alerting and a referential context. Moreover, by using this paradigm the accuracy of commands that are used to interact with machines, such as one word or an entire sentence, will improve to have 100% accuracy. Due to the increasing number of speech commands in life, this model will be the best solution for applications that use the speech commands to active the computers, such as medical assistance, human-robot interaction, telecommunications industry, home automation, and security access control.