In this study,vector quantization and hidden Markov models were used to achieve speech command recognition.Pre-emphasis,a hamming window,and Mel-frequency cepstral coefficients were first adopted to obtain feature val...In this study,vector quantization and hidden Markov models were used to achieve speech command recognition.Pre-emphasis,a hamming window,and Mel-frequency cepstral coefficients were first adopted to obtain feature values.Subsequently,vector quantization and HMMs(hidden Markov models)were employed to achieve speech command recognition.The recorded speech length was three Chinese characters,which were used to test the method.Five phrases pronounced mixing various human voices were recorded and used to test the models.The recorded phrases were then used for speech command recognition to demonstrate whether the experiment results were satisfactory.展开更多
Automatic speech recognition, often incorrectly called voice recognition, is a computer based software technique that analyzes audio signals captured by a microphone and translates them into machine interpreted text. ...Automatic speech recognition, often incorrectly called voice recognition, is a computer based software technique that analyzes audio signals captured by a microphone and translates them into machine interpreted text. Speech processing is based on techniques that need local CPU or cloud computing with an Internet link. An activation word starts the uplink;“OK google”, “Alexa”, … and voice analysis is not usually suitable for autonomous limited CPU system (16 bits microcontroller) with low energy. To achieve this realization, this paper presents specific techniques and details an efficiency voice command method compatible with an embedded IOT low-power device.展开更多
以“Z+Z智能教育平台的语音识别接口”的研究开发为背景,针对领域构架包含的构件太多和理解使用太复杂的问题,提出了子领域通用构件(General Component for Sub-domain,GCSD)的概念。GCSD的使用,能极大地简化基于构件的应用程序开发,提...以“Z+Z智能教育平台的语音识别接口”的研究开发为背景,针对领域构架包含的构件太多和理解使用太复杂的问题,提出了子领域通用构件(General Component for Sub-domain,GCSD)的概念。GCSD的使用,能极大地简化基于构件的应用程序开发,提高软件生产效率和产品质量;结合基于构件/构架的软件复用技术和领域工程方法,提出了GCSD的开发方法,并以语音命令识别通用组件的开发为例,展示其开发过程。展开更多
基金This research work was supported by the Ministry of Science and Technology of the Republic of China under contract MOST 108-2221-E-390-018.
文摘In this study,vector quantization and hidden Markov models were used to achieve speech command recognition.Pre-emphasis,a hamming window,and Mel-frequency cepstral coefficients were first adopted to obtain feature values.Subsequently,vector quantization and HMMs(hidden Markov models)were employed to achieve speech command recognition.The recorded speech length was three Chinese characters,which were used to test the method.Five phrases pronounced mixing various human voices were recorded and used to test the models.The recorded phrases were then used for speech command recognition to demonstrate whether the experiment results were satisfactory.
文摘Automatic speech recognition, often incorrectly called voice recognition, is a computer based software technique that analyzes audio signals captured by a microphone and translates them into machine interpreted text. Speech processing is based on techniques that need local CPU or cloud computing with an Internet link. An activation word starts the uplink;“OK google”, “Alexa”, … and voice analysis is not usually suitable for autonomous limited CPU system (16 bits microcontroller) with low energy. To achieve this realization, this paper presents specific techniques and details an efficiency voice command method compatible with an embedded IOT low-power device.
文摘以“Z+Z智能教育平台的语音识别接口”的研究开发为背景,针对领域构架包含的构件太多和理解使用太复杂的问题,提出了子领域通用构件(General Component for Sub-domain,GCSD)的概念。GCSD的使用,能极大地简化基于构件的应用程序开发,提高软件生产效率和产品质量;结合基于构件/构架的软件复用技术和领域工程方法,提出了GCSD的开发方法,并以语音命令识别通用组件的开发为例,展示其开发过程。
