VOICECONET: A Collaborative Framework for Speech-Based Computer Accessibility with a Case Study for Brazilian Portuguese

In recent years, the performance of personal computers has evolved with the production of ever faster processors, a fact that enables the adoption of speech processing in computer-assisted education. There are several speech technologies that are effective in education, among which text-to-speech (TTS) and automatic speech recognition (ASR) are the most prominent. TTS systems [45] are software modules that convert natural language text into synthesized speech. ASR [18] can be seen as the TTS inverse process, in which the digitized speech signal, captured for example via a microphone, is converted into text.

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