The Performance Evaluation of Continuous Speech Recognition Based on Korean Phonological Rules of Cloud-Based Speech Recognition Open API

Abstract

Speech recognition systems have significantly improved performance with cloud computing technology [1] and application of artificial intelligence [2]. The cloud-based speech recognition engine addresses the difficulties of developing speech recognition systems. By collecting large amount of speech data for development of speech recognition system, high performance computer for learning large volume speech data is not needed. Cloud-based speech recognition Open API has saved a lot of time, effort, and money to develop an applied speech recognition system. The improved performance and ease of development of speech recognition systems are being applied in a variety of areas. Speech recognition systems are largely divided into pre-processing and recognition units [3]. The recognition unit makes a word for the extracted speech information of the speech. The process of creating words either uses pronouncing dictionaries according to the characteristics of the speech recognition system [4–6], using information through deep learning of vocal information without pronouncing dictionaries [7,8]. The speech recognition system should accurately recognize phonological changes regardless of whether a pronouncing dictionary exists. In the speech recognition process, meaningful sentences should be made in terms of syllables by finding the exact morphemes. Therefore, assessing the recognition rate of speech recognition systems for phonological rules will help to understand the characteristics of speech recognition systems. This study aims to explore the characteristics of cloud-based speech recognition system’s application of phonological rules and to present the criteria for selecting a high-performance cloud-based Open API for developing an applied speech recognition system. This study conducted a study on continuous speech recognition performance evaluation in accordance with the Korean phonological rules of the cloud-based speech recognition Open API. The composition of the paper described the related research on Korean phonological rules and cloud-based speech recognition Open API in Chapter 2, and Chapter 3 described experiment methods and test results as experiments. Chapter 4 summarizes the evaluation and meaning of experimental results and describes future research tasks.