Morse Code-Enabled Speech Recognition for Individuals with Visual and Hearing Impairments

Ritabrata Roy Choudhury
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Abstract

The proposed model aims to develop a speech recognition technology for hearing, speech, or cognitively disabled people. All the available technology in the field of speech recognition doesn't come with an interface for communication for people with hearing, speech, or cognitive disabilities. The proposed model proposes the speech from the user, is transmitted to the speech recognition layer where it is converted into text and then that text is then transmitted to the morse code conversion layer where the morse code of the corresponding speech is given as the output. The accuracy of the model is completely dependent on speech recognition, as the morse code conversion is a process. The model is tested with recorded audio files with different parameters. The proposed model's WER and accuracy are both determined to be 10.18% and 89.82%, respectively.
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针对视力和听力障碍人士的摩斯密码语音识别技术
所提出的模式旨在为听力、语言或认知残疾人士开发一种语音识别技术。语音识别领域现有的所有技术都没有为听力、语言或认知障碍人士提供交流界面。所提出的模型建议将用户的语音传输到语音识别层,在语音识别层将语音转换成文本,然后将文本传输到摩尔斯电码转换层,在摩尔斯电码转换层输出对应语音的摩尔斯电码。该模型的准确性完全取决于语音识别,因为摩斯密码转换是一个过程。该模型使用不同参数的录音文件进行了测试。结果表明,该模型的误码率和准确率分别为 10.18% 和 89.82%。
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