Samsung Electronics Co., Ltd.

Korea University Research and Business Foundation

Jatco Corporation

Taekjin Lee

Hyun-Soo Kim

Hanseok Ko

Jounghoon Beh

Jaeyoung Kim

Solae Gim

Jaemin Seo

Hyungho Oh

Yongwoo Jeon

Yonghun Yoon

The oil storage structure includes an oil pan that closes a lower opening of the transmission case and forms an oil pool in a lower space inside the transmission case, and a strainer having a suction port for oil located in the oil pool. The suction port for the oil is provided so as to face a bottom wall portion of the oil pan with a gap in between, and the bottom wall portion of the oil pan is provided with a protruding portion protruding toward the suction port, with the protruding portion being formed in a direction across the suction port as viewed from the bottom wall portion.

Oil storage structure of transmission case

An adaptive mode control apparatus and method for adaptive beamforming based on detection of a user direction sound are provided. The adaptive mode control apparatus includes a signal intensity detector that searches for signal intensity of each designated direction to detect signal intensity having a maximum value when a voice signal of each direction is input through at least one microphone; and an adaptive mode controller that compares the signal intensity having the maximum value detected through the signal intensity detector with a threshold value and determines whether to perform an adaptive mode of a Generalized Sidelobe Canceller (GSC) according to the comparison results. Therefore, a lack of control of adaptation of an adaptive filter of the conventional art is solved. That is, as one condition for guaranteeing performance of adaptive beamforming, adaptation of an adaptive filter is not performed when noise of a sound with a high autocorrelation is cancelled.

Adaptive mode control apparatus and method for adaptive beamforming based on detection of user direction sound

A system and method for sound source separation. The system and method use a beamforming technique. The sound source separation system includes a windowing processor; a DFT transformer; a transfer function estimator; and a noise estimator. The system also includes a voice signal extractor that cancels individual voice signals, except an individual voice signal that is desired to be extracted among individual voice signals, from the integrated voice signals. The system further includes a voice signal detector that cancels a noise part provided through the noise estimator from a transfer function of an individual voice signal which is desired to be detected and extracts a noise-canceled individual voice signal. Even when two or more sound sources are simultaneously input, the sound sources can be separated from each other and separately stored and managed, or an initial sound source can be stored and managed.

Sound source separation method and system using beamforming technique

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Seoul, South Korea

Taekjin Lee