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Implementation of Bangla Speech Recognition in Voice Input Speech Output (VISO) Calculator

机译:语音输入语音输出(VISO)计算器中孟加拉语音识别的实现

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Automatic Speech-recognition (ASR) is an engaging way for human-computer interaction. It is a process of deriving linguistic information from acoustic signals while removing noise signal associated with it. The speaker-independent Voice Input Speech Output (VISO) calculator application is a promising implementation of speech-recognition technology, which is designed to recognize numbers and symbols to perform mathematical operations. But none of such applications provide support for Bangla language yet. Thus, in this paper, we have designed a VISO calculator application that can recognize both isolated and continuous speech in Bangla language and derive mathematical expression. The expression is then calculated and the auditory output is pronounced in Bangla. The task of speech-to-text (STT) conversion is performed by Hidden Markov models (HMM) in CMU Sphinx, while the result is converted to speech using Android Text-to-Speech (TTS) API. The application is able to recognize Bangla real numbers such as , (3) etc. and several mathematical symbols such as , (.) etc. This voice-based application is helpful for people having physical disabilities such as congenital disorder or visual impairment and people with less mathematical knowledge, who use Bangla as their native language.
机译:自动语音识别(ASR)是人机交互的一种吸引人的方式。这是从声音信号中导出语言信息,同时删除与之相关的噪声信号的过程。独立于说话者的语音输入语音输出(VISO)计算器应用程序是语音识别技术的一个有希望的实现,该技术旨在识别数字和符号以执行数学运算。但是,这些应用程序还没有提供对Bangla语言的支持。因此,在本文中,我们设计了一个VISO计算器应用程序,该应用程序可以识别孟加拉语言中的孤立语音和连续语音并导出数学表达式。然后计算该表达式,并在孟加拉语中发出听觉输出。语音到文本(STT)转换的任务由CMU Sphinx中的隐马尔可夫模型(HMM)执行,而结果则使用Android文本到语音(TTS)API转换为语音。该应用程序能够识别Bangla实数(例如,(3)等)和一些数学符号,例如,(。)等。此基于语音的应用程序对于患有先天性疾病或视力障碍等身体残疾的人以及缺乏数学知识的人,他们以孟加拉语为母语。

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