Samsung Electronics Co., Ltd.

Seoul National University

Hyungyong Kim

Cheheung Kim

Sungchan Kang

Namsoo Kim

Choongho Rhee

Yongseop Yoon

Hyeokki Hong

Sangha Park

Provided are a method of generating a trained third neural network to recognize a speaker of a noisy speech signal by combining a trained first neural network which is a skip connection-based neural network for removing noise from the noisy speech signal with a trained second neural network for recognizing the speaker of a speech signal, and a neural network device for operating the neural networks.

Neural network device for speaker recognition and operating method of the same

Provided are a neural network device and a method of operation thereof. The neural network device for speaker recognition may include: a memory configured to store one or more instructions; and a processor configured to generate a trained second neural network by training a first neural network, for separating a mixed voice signal into individual voice signals by executing the one or more instructions, generate a second neural network by adding at least one layer to the trained first neural network, and generate a trained second neural network by training the second neural network, for separating the mixed voice signal into the individual voice signals and for recognizing a speaker of each of the individual voice signals.

Neural network device for speaker recognition, and method of operation thereof

Growing community of inventors

Seoul, South Korea

Hyungyong Kim