Papers

MPEG-H 3D Audio Decoder Structure and Complexity Analysis

Domestic Journal
2016~2020
작성자
한혜원
작성일
2017-02-01 02:09
조회
1955
Authors : Hyeongi Moon, Young-cheol Park, Yong Ju Lee, Young-soo Whang

Year : 2017

Publisher / Conference : 한국통신학회논문지

Volume : 42, 제 2호

Page : 432-443

The primary goal of the MPEG-H 3D Audio standard is to provide immersive audio environments for high-resolution broadcasting services such as UHDTV. This standard incorporates a wide range of technologies such as encoding/decoding technology for multi-channel/object/scene-based signal, rendering technology for providing 3D audio in various playback environments, and post-processing technology. The reference software decoder of this standard is a structure combining several modules and can operate in various modes. Each module is composed of independent executable files and executed sequentially, real time decoding is impossible. In this paper, we make DLL library of the core decoder, format converter, object renderer, and binaural renderer of the standard and integrate them to enable frame-based decoding. In addition, by measuring the computation complexity of each mode of the MPEG-H 3D-Audio decoder, this paper also provides a reference for selecting the appropriate decoding mode for various hardware platforms. As a result of the computational complexity measurement, the low complexity profiles included in Korean broadcasting standard has a computation complexity of 2.8 times to 12.4 times that of the QMF synthesis operation in case of rendering as a channel signals, and it has a computation complexity of 4.1 times to 15.3 times of the QMF synthesis operation in case of rendering as a binaural signals.
전체 364
304 International Conference Soo-Whan Chung, Soyeon Choe, Joon Son Chung, Hong-Goo Kang "FaceFilter: Audio-visual speech separation using still images" in INTERSPEECH (*awarded Best Student Paper), 2020
303 International Conference Soo-Whan Chung, Hong-Goo Kang, Joon Son Chung "Seeing Voices and Hearing Voices: Learning Discriminative Embeddings Using Cross-Modal Self-Supervision" in INTERSPEECH, 2020
302 International Conference Hyewon Han, Soo-Whan Chung, Hong-Goo Kang "MIRNet: Learning multiple identities representations in overlapped speech" in INTERSPEECH, 2020
301 International Conference Yoohwan Kwon, Soo-Whan Chung, Hong-Goo Kang "Intra-Class Variation Reduction of Speaker Representation in Disentanglement Framework" in INTERSPEECH, 2020
300 International Conference Minh-Tri Ho, Jinyoung Lee, Bong-Ki Lee, Dong Hoon Yi, Hong-Goo Kang "A Cross-channel Attention-based Wave-U-Net for Multi-channel Speech Enhancement" in INTERSPEECH, 2020
299 International Journal Young-Sun Joo, Hanbin Bae, Young-Ik Kim, Hoon-Young Cho, Hong-Goo Kang "Effective Emotion Transplantation in an End-to-End Text-to-Speech System" in IEEE Access, vol.8, pp.161713-161719, 2020
298 Domestic Journal 권유환, 정수환, 강홍구 "화자 인식을 위한 적대학습 기반음성 분리 프레임워크에 대한 연구" in 한국음향학회지, vol.39, 제 5호, pp.447-453, 2020
297 Domestic Conference 오태양, 정기혁, 강홍구 "화자 및 발화 스타일 임베딩을 통한 다화자 음성합성 시스템 음질 향상" in 전자공학회 하계학술대회, pp.980-982, 2020
296 Domestic Conference 이성현, 강홍구 "딥러닝 기반 종단 간 다채널 음질 개선 알고리즘" in 전자공학회 하계학술대회, pp.968-970, 2020
295 Domestic Conference 임정운, 김지현, 강홍구 "메타러닝을 이용한 SAR 영상 자동표적 인식" in 한국항공우주학회 2020 춘계학술대회, pp.353-354, 2020