National Central University

Industrial Technology Research Institute

Jia-Ching Wang

Chien-Yao Wang

Chang-Hong Lin

Ching-Cherng Sun

Yeh-Wei Yu

Tsung-Hsun Yang

Chen-Guei Chang

Ming-Yen Chen

Chien-Wei Yeh

Tzu-Kai Wang

Kuan-Chung Wang

Chih-Hao Shih

Yi-Xing Lin

Chih-Hsuan Yang

Chi-Chung Lau

Yao-Ting Wang

A source separation method, an apparatus, and a non-transitory computer-readable medium are provided. Atrous Spatial Pyramid Pooling (ASPP) is used to reduce the number of parameters of a model and speed up computation. Conventional upsampling is replaced with a conversion between time and depth, and a receptive field preserving decoder is provided. In addition, temporal attention with dynamic convolution kernel is added, to further achieve lightweight and improve the effect of separation.

Source separation method, apparatus, and non-transitory computer-readable medium

A machine learning method and a machine learning device are provided. The machine learning method includes: receiving an input signal and performing normalization on the input signal; transmitting the normalized input signal to a convolutional layer; and adding a sparse coding layer after the convolutional layer, wherein the sparse coding layer uses dictionary atoms to reconstruct signals on a projection of the normalized input signal passing through the convolutional layer, and the sparse coding layer receives a mini-batch input to refresh the dictionary atoms.

Machine learning method and machine learning device

A device and a method for generating a machine translation model and a machine translation device are disclosed. The device inputs a source training sentence of a source language and a dictionary data to a generator network so that the generator network outputs a target training sentence of a target language according to the source training sentence and the dictionary data. Then, the device inputs the target training sentence and a correct translation of the source training sentence to a discriminator network so as to calculate an error between the target training sentence and the correct translation according to the output of the discriminator network, and trains the generator network and the discriminator network respectively. The trained generator network is the machine translation model.

Computing device and method for generating machine translation model and machine-translation device

A training data generation method for human facial recognition and a data generation apparatus are provided. A large amount of virtual synthesized models are generated based on a face deformation model, where changes are made to face shapes, expressions, and/or angles to increase diversity of the training data. Experimental results show that the aforementioned training data may improve the accuracy of human face recognition.

Training data generation method for human facial recognition and data generation apparatus

The present invention provides a method for repairing incomplete 3D depth image using 2D image information. The method includes the following steps: obtaining 2D image information and 3D depth image information; dividing 2D image information into 2D reconstruction blocks and 2D reconstruction boundaries, and corresponding to 3D reconstruction of blocks and 3D reconstruction boundaries; analyzing each 3D reconstruction block, partitioning into residual-surface blocks and repaired blocks; and proceeding at least one 3D image reconstruction, which extends with the initial depth value of the 3D depth image of each of the residual-surface block and covers all the corresponding repaired block to form a repair block and to achieve the purpose of repairing incomplete 3D depth images using 2D image information.

Method for repairing incomplete 3D depth image using 2D image information

An apparatus, a system and a method for space status detection based on acoustic signal are provided. The detecting apparatus includes an audio transmitting device, an audio receiving device, a signal processing device and a decision device. The audio transmitting device transmits an acoustic signal into a space. The audio receiving device receives a varied acoustic signal as a sensing signal. The signal processing device is coupled to the audio receiving device to receive the sensing signal and generates a characteristic parameter of a space status according to the sensing signal. The decision device is coupled to the signal processing device to receive the characteristic parameter and detects a change of the space status according to the characteristic parameter.

Apparatus, system and method for space status detection based on acoustic signal

The present invention discloses a vision-aided hearing assisting device, which includes a display device, a microphone and a processing unit. The processing unit includes a receiving module, a message generating module and a display driving module. The processing unit is electrically connected to the display device and the microphone. The receiving module receives a surrounding sound signal, which is generated by the microphone. The message generating module analyzes the surrounding sound signal according to a present-scenario mode to generate a related message related with the surrounding sound signal. The display driving module drives the display device to display the related message.

Growing community of inventors

Taipei, Taiwan

Jia-Ching Wang