Development of Application Specific Continuous Speech Recognition System in Hindi

• 作者: Devanesamoni Shakina Deiv Gaurav Gaurav Gopal Krishna Sharma Mahua Bhattacharya
• 来源期刊: 信号与信息处理(英文)
• 学科: 工学
• 关键词: Automatic SPEECH RECOGNITION Mel FREQUENCY Cepstral COEFFICIENTS Hidden MARKOV Modeling
• 年，卷（期）: xhyxxclyw_2012,（3）
• 页码范围: 394-401
• 页数: 8页
• 分类号: TN91

摘要

Application specific voice interfaces in local languages will go a long way in reaching the benefits of technology to rural India. A continuous speech recognition system in Hindi tailored to aid teaching Geometry in Primary schools is the goal of the work. This paper presents the preliminary work done towards that end. We have used the Mel Frequency Cepstral Coefficients as speech feature parameters and Hidden Markov Modeling to model the acoustic features. Hidden Markov Modeling Tool Kit —3.4 was used both for feature extraction and model generation. The Julius recognizer which is language independent was used for decoding. A speaker independent system is implemented and results are presented.