휴먼인터페이스연구실

Speech synthesis is a technique of synthesizing a given text input into speech. Speech synthesis is actively used in various fields to convey information to the users through speech from machines such as smartphone interface, personal assistant in a vehicle, ARS, robot interface, etc.. Artificial intelligence (AI) deals with implementing algorithms that allow machine to perform tasks which were considered as human activity. Research areas of AI include automatic speech recognition (ASR), machine hearing, dialogue systems, auditory scene understanding related to speech and audio signal processing. Machine learning is a type of artificial intelligence that provides computers with the ability to learn or analysis data without being explicitly programmed. Speech/audio signal processing is a field which retrieves and classifies/estimates information from an audio signal depending on its purpose. Currently, speech/audio signal processing is a leading field which utilizes machine learning techniques. Audio scene recognition aims to the computational analysis of an acoustic environment and the recognition of distinct sound events in it. The focus of audio scene recognition is in recognizing the context or environment, and analyzing discrete sound events. Acoustic localization is an area that studies localization or tracking of acoustic sources or target microphones based on the various measurements of the sound field. It can be applied to various location based services such as the virtual tour guide in museums, tracking of personal items, or the guide in shopping malls. Sound code is a wireless data transmission system by encoding data using an audio data hiding technology and playing through a loudspeaker. It can be applied to inserting product information, distributer inform