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TRAINING ASPECTS OF AUTOMATIC SPEECH RECOGNITION SYSTEMS DURING CHAT BOT CREATION
Abstract
This article describes the key features of the automatic speech recognition systems training process that can be used in a work of chat bot or voice assistant. Importance of research in this area is grazed. Difference between chat bot, voice helper and voice assistance are explained. Basic requirements for correct chat bot usage are formulated. Some common automatic speech recognition systems are reviewed. Kaldi and CMU Sphinx has been used as an open source systems? example. The whole installation and training process are reviewed, instruction for further researchers are documented. Examined systems have been trained with different parameter sets and training data. As a result, the most important training parameters of automatic speech recognition system for chat bot are designated and described. Criteria for selecting data for proper ASR testing is formed. Peculiar chat bot prototype development has started. Results of this research can help to significantly improve the speed and quality of the speech recognition in chat bots and voice assistants. Next steps to continue work with personal solution are presented.
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References9
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Number of times cited according to Crossref: 1
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