Agency for Defense Development

Fdn. for Res.&bus., Seoul Nat. Univ. of Sci.&tech.

Deokgyu Yun

Seung Ho Choi

Hong Kook Kim

Jung Hyuk Lee

Dong Ho Kim

Ye Hoon Lee

Eunyoung Jeong

In accordance with an aspect of the present disclosure, there is provided a method for identifying a type of a vocoder. The method comprises acquiring identification target bitstreams encoded with a voice signal, acquiring, for each of a plurality of vocoders, a probability that each of the plurality of vocoders is related to the identification target bitstreams from the identification target bitstreams, acquiring waveforms for each decoder of each of the plurality of vocoders by inputting the identification target bitstreams to the each decoder of each of the plurality of vocoders, acquiring intelligibility values for each of the waveforms obtained for the each decoder of each of the plurality of vocoders from the waveforms, and determining the type of the vocoder related to the voice signal from the probability and the intelligibility values for each waveform.

Method and apparatus for identifying type of vocoder

A data generating apparatus for generating noise environment noisy data is disclosed. The data generating apparatus according to the present application comprises a signal conversion unit configured to convert each of a noisy signal obtained in real environment and an original sound signal for the noisy signal into a noisy signal spectrum and an original sound signal spectrum in a short-time frequency domain; and a noisy signal generation training unit configured to train deep neural network to output the noisy signal spectrum corresponding to each short-time using the original sound signal spectrum as an input.

Apparatuses and methods for creating noise environment noisy data and eliminating noise

There is disclosed a system and method of predicting a location of a user's viewport using location information of a sound source in 360 virtual reality (VR) content. According to the present invention, the spatial representation description (SRD) and the sound source localization information (SLI) of the audio MPD are transmitted with the video MPD being extended, the SRD of the sound source is used to derive the location of the sound source, and the weights of the respective items of the region of interest (ROI), the sound source localization information (SLI), the current viewport, and the pole are allocated differentially according to the bandwidth condition and then multiplied by the reference bitrate to determine the segment bitrate to be provided next, thereby improving the accuracy of predicting the location of the user's viewport and ensuring the quality of experience (QoE) for regeneration speed and regeneration quality.

System and method for predicting user viewpoint using location information of sound source in 360 VR contents

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Seoul, South Korea

Deokgyu Yun