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Reliability Modeling of Speech Recognition Tasks

机译:语音识别任务的可靠性建模

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摘要

Speech recognition is becoming the key technology of man-machine interfaces in information technology. The application of voice technology has become a competitive and new high-tech industry. However, due to the big volume of vocabulary, continuous voice, and personalized accents, it is hard to make speech recognition completely accurate. In this paper, a reliability model is proposed to measure the performance of speech recognition. In particular, two types of task failures are suggested and an iterative approach is adopted. Numerical examples are proposed for illustrative purposes.
机译:语音识别正在成为信息技术中人机界面的关键技术。 语音技术的应用已成为一个竞争力和新的高新技术产业。 然而,由于词汇量大,持续的声音和个性化口音,难以使语音识别完全准确。 本文提出了一种可靠性模型来测量语音识别的性能。 特别是,建议了两种类型的任务故障,并采用了迭代方法。 提出了用于说明性目的的数值例子。

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