Abstract: Disclosed is an apparatus for determining goodness of fit related to microphone placement capable of communicating with other electronic devices and an external server in a 5G communication network, in which an artificial intelligence (AI) algorithm and/or a machine learning algorithm are executed. The apparatus includes an inputter, a communicator, a storage, and a processor. As the apparatus is provided, sound recognition effects can be improved.

Abstract: Disclosed are a sound processing apparatus and a sound processing method. The sound processing method includes extracting a desired voice enhanced signal by a sound source separation and a sound extraction. By using a multi-channel blind source separation method based on independent vector analysis, the desired voice enhanced signal is extracted from a channel having the smallest sum of off-diagonal values of a separation adaptive filter when the power of the desired voice signal is larger than that of other voice signals. According to the present disclosure, a user may build a robust artificial intelligence (AI) speech recognition system by using sound source separation and voice extraction using eMBB, URLLC, and mMTC techniques of 5G mobile communication.

Abstract: Disclosed are a communication robot and a method for operating the same capable of smoothly processing speech recognition by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm in 5G environment connected for Internet of things. A method for operating a communication robot according to an embodiment of the present disclosure may include collecting speech uttered by two or more utterers approaching within a predetermined distance from the communication robot, collecting photographed images of the two or more utterers, determining whether a case where utterers of a wake-up word and a continuous word included in the uttered speech are the same is a first case, or whether a case where the utterers of the wake-up and the continuous word included in the uttered speech are different is a second case, and determining a voice reception enhancement direction according to the first case or the second case.

Abstract: Disclosed is an acoustic control method for operating an acoustic control system and apparatus by executing artificial intelligence (AI) algorithms and/or machine learning algorithms in a 5G environment connected for Internet of Things. An acoustic control method for adjusting a sound according to an embodiment of the present disclosure may include collecting one or more acoustic signals in a vehicle through at least one microphone provided in the vehicle, analyzing the acoustic signals in the vehicle, and adjusting volume and equalizer settings of an acoustic service being outputted through a speaker provided in the vehicle in response to the analyzed acoustic signals in the vehicle.

Abstract: Disclosed are a headset and an operating method thereof, which execute a mounted artificial intelligence (AI) algorithm and/or machine learning algorithm and communicate with different electronic apparatuses and external servers in a 5G communication environment. The headset includes a plurality of microphones, an AEC, a VAD, and a BSS, which process sound signals received from the microphones, resulting in improved convenience for a user.

Abstract: Disclosed are a sound processing apparatus and a sound processing method. The sound processing method includes extracting a desired voice enhanced signal by a sound source separation and a sound extraction. By using a multi-channel blind source separation method based on independent vector analysis, the desired voice enhanced signal is extracted from a channel having the smallest sum of off-diagonal values of a separation adaptive filter when the power of the desired voice signal is larger than that of other voice signals. According to the present disclosure, a user may build a robust artificial intelligence (AI) speech recognition system by using sound source separation and voice extraction using eMBB, URLLC, and mMTC techniques of 5G mobile communication.

Abstract: Disclosed is an acoustic control method for operating an acoustic control system and apparatus by executing artificial intelligence (AI) algorithms and/or machine learning algorithms in a 5G environment connected for Internet of Things. An acoustic control method for adjusting a sound according to an embodiment of the present disclosure may include collecting one or more acoustic signals in a vehicle through at least one microphone provided in the vehicle, analyzing the acoustic signals in the vehicle, and adjusting volume and equalizer settings of an acoustic service being outputted through a speaker provided in the vehicle in response to the analyzed acoustic signals in the vehicle.

Abstract: Disclosed are a communication robot and a method for operating the same capable of smoothly processing speech recognition by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm in 5G environment connected for Internet of things. A method for operating a communication robot according to an embodiment of the present disclosure may include collecting speech uttered by two or more utterers approaching within a predetermined distance from the communication robot, collecting photographed images of the two or more utterers, determining whether a case where utterers of a wake-up word and a continuous word included in the uttered speech are the same is a first case, or whether a case where the utterers of the wake-up and the continuous word included in the uttered speech are different is a second case, and determining a voice reception enhancement direction according to the first case or the second case.

Abstract: Disclosed is an apparatus for determining goodness of fit related to microphone placement capable of communicating with other electronic devices and an external server in a 5G communication network, in which an artificial intelligence (AI) algorithm and/or a machine learning algorithm are executed. The apparatus includes an inputter, a communicator, a storage, and a processor. As the apparatus is provided, sound recognition effects can be improved.

Abstract: Provided is a call quality improvement method configured to operate a call quality improvement system and a call quality improvement apparatus by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for the Internet of Things. According to one embodiment of the present disclosure, the call quality improvement method may include receiving a voice signal from a far-end speaker, receiving a sound signal including a voice signal from a near-end speaker, receiving an image of a face of the near-end speaker, including lips, and extracting the voice signal of the near-end speaker from the received sound signal.

Abstract: Disclosed are a headset and an operating method thereof, which execute a mounted artificial intelligence (AI) algorithm and/or machine learning algorithm and communicate with different electronic apparatuses and external servers in a 5G communication environment. The headset includes a plurality of microphones, an AEC module, a VAD module, and a BSS module, which process sound signals received from the microphones, resulting in improved convenience for a user.