Papers

Enhancement of principal to ambient energy ratio for PCA-based parametric audio coding

International Conference
2006~2010
작성자
한혜원
작성일
2010-03-14 23:44
조회
8137
Authors : Se-Woon Jeon, Dongil Hyun, Jeongil Seo, Young-Cheol Park, Dae Hee Youn

Year : 2010

Publisher / Conference : ICASSP

In this paper, we propose a method of restoring principal to ambient energy ratio (PAR) at the decoder in the principal component analysis (PCA)-based parametric audio coding. The conventional approach applies the post-scaling at the decoder using the energy information extracted from the input signal at the encoder. However, this approach has a problem that the relative energy of principal source in the reconstructed signal is smaller than the original signal and also affected by the panning angle of principal source.
To restore the PAR at the decoder, the proposed method estimates the post-scaling factors using parametric information extracted from PCA-based formulation. The objective and subjective results verify the performance improvement of proposed method.
전체 387
387 International Journal Jihyun Kim, Doyeon Kim, Hong-Goo Kang "Speaker-Discriminative Attractors for Robust Continuous Speech Separation" in TASLP, vol.34, pp.3916-3929, 2026
386 Domestic Conference 김효민, 이지현, 장인선, 강홍구 "사후 의미 증류를 이용한 유한 스칼라 양자화 기반 이단계 음성 토크나이저" in 한국방송·미디어공학회 2026년 하계학술대회, 2026
385 Domestic Conference 신재훈, 장인선, 강홍구 "효율적인 신경망 기반 오디오 코덱을 위한 잔차 오토인코딩 및 연속형 오토인코더의 잠재 표현 증류" in 한국방송·미디어공학회 2026년 하계학술대회, 2026
384 International Conference Jihyun Lee, Jiahao Li, Woojin Chung, Yan Lu, Hong-Goo Kang "AudioSketch: Controllable Image-to-Audio Generation via Semantic-Temporal Energy Modulation" in EUSIPCO, 2026
383 International Conference Sangmin Lee, Woojin Chung, Woongjib Choi, Hong-Goo Kang "MoLGE: Mixture of Language Group Experts for Efficient Scaling of Massively Multilingual Speech Recognition" in Conference On Language Modeling (COLM), 2026
382 International Conference Sangmin Lee, Eekgyun Ahn, Woongjib Choi, Hong-Goo Kang "UR-BERT: Scaling Text Encoders for Massively Multilingual TTS Through Universal Romanization and Speech Token Prediction" in INTERSPEECH, 2026
381 International Conference Seyun Um, Doyeon Kim, Hong-Goo Kang "HANUI: Harnessing Distributional Discrepancies for Singing Voice Deepfake Detection" in in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026
380 International Conference Miseul Kim, Soo jin Park, Kyungguen Byun, Hyeon-Kyeong Shin, Sunkuk Moon, Shuhua Zhang, Erik Visser "Mitigating Intra-Speaker Variability in Diarization with Style-Controllable Speech Augmentation" in in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026
379 International Conference Woongjib Choi, Sangmin Lee, Hyungseob Lim, Hong-Goo Kang "UniverSR: Unified and Versatile Audio Super-Resolution via Vocoder-Free Flow Matching" in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026
378 International Journal Hyeonjin Cha, Seyun Um, Miseul Kim, Changhwan Kim, Seungshin Lee, Hong-Goo Kang "Content-Aware Style Augmentation for Zero-Shot Voice Conversion With Short Target Speech" in IEEE Signal Processing Letters, vol.33, pp.66-70, 2025