The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 부가적인 시변 잡음을 줄이기 위한 새로운 방법을 제안한다. 제안하는 방법은 이전 방법과 달리 잡음에 대한 가정이나 정지 영역의 잡음 통계량 추정이 필요하지 않습니다. 향상은 각 시간 프레임에 대해 대역별로 수행됩니다. 프레임의 특정 대역이 음성 또는 소음에 지배적인지 여부에 대한 결정과 인간 청각 시스템의 마스킹 속성을 기반으로 수정된 스펙트럼 차감을 사용하여 시간-주파수 영역에서 적절한 양의 소음이 감소됩니다. 제안된 방법은 자동차 소음, F16 소음, 백색 가우시안 소음, 핑크 소음, 탱크 소음, 옹알이 소음 등 다양한 소음 조건에서 테스트되었습니다. 분할 SNR, 스펙트로그램 검사 및 MOS 테스트를 기반으로 제안된 방법은 음성 왜곡을 최소화하면서 잡음을 줄이는 데 일시 중지 감지가 있거나 없는 스펙트럼 감산보다 더 효과적인 것으로 나타났습니다.
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부
Sukhyun YOON, Chang D. YOO, "Speech Enhancement Based on Speech/Noise-Dominant Decision" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 4, pp. 744-750, April 2002, doi: .
Abstract: In this paper, a novel method to reduce additive time-varying noise is proposed. Unlike the previous methods, the proposed method requires neither the assumption about noise nor the estimate of the noise statistics from any pause regions. The enhancement is performed on a band-by-band basis for each time frame. Based on both the decision on whether a particular band in a frame is speech or noise dominant and the masking property of the human auditory system, an appropriate amount of noise is reduced in time-frequency domain using modified spectral subtraction. The proposed method was tested on various noisy conditions: car noise, F16 noise, white Gaussian noise, pink noise, tank noise and babble noise. On the basis of segmental SNR, inspection of spectrograms and MOS tests, the proposed method was found to be more effective than spectral subtraction with and without pause detection in reducing noise while minimizing distortion to speech.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_4_744/_p
부
@ARTICLE{e85-d_4_744,
author={Sukhyun YOON, Chang D. YOO, },
journal={IEICE TRANSACTIONS on Information},
title={Speech Enhancement Based on Speech/Noise-Dominant Decision},
year={2002},
volume={E85-D},
number={4},
pages={744-750},
abstract={In this paper, a novel method to reduce additive time-varying noise is proposed. Unlike the previous methods, the proposed method requires neither the assumption about noise nor the estimate of the noise statistics from any pause regions. The enhancement is performed on a band-by-band basis for each time frame. Based on both the decision on whether a particular band in a frame is speech or noise dominant and the masking property of the human auditory system, an appropriate amount of noise is reduced in time-frequency domain using modified spectral subtraction. The proposed method was tested on various noisy conditions: car noise, F16 noise, white Gaussian noise, pink noise, tank noise and babble noise. On the basis of segmental SNR, inspection of spectrograms and MOS tests, the proposed method was found to be more effective than spectral subtraction with and without pause detection in reducing noise while minimizing distortion to speech.},
keywords={},
doi={},
ISSN={},
month={April},}
부
TY - JOUR
TI - Speech Enhancement Based on Speech/Noise-Dominant Decision
T2 - IEICE TRANSACTIONS on Information
SP - 744
EP - 750
AU - Sukhyun YOON
AU - Chang D. YOO
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2002
AB - In this paper, a novel method to reduce additive time-varying noise is proposed. Unlike the previous methods, the proposed method requires neither the assumption about noise nor the estimate of the noise statistics from any pause regions. The enhancement is performed on a band-by-band basis for each time frame. Based on both the decision on whether a particular band in a frame is speech or noise dominant and the masking property of the human auditory system, an appropriate amount of noise is reduced in time-frequency domain using modified spectral subtraction. The proposed method was tested on various noisy conditions: car noise, F16 noise, white Gaussian noise, pink noise, tank noise and babble noise. On the basis of segmental SNR, inspection of spectrograms and MOS tests, the proposed method was found to be more effective than spectral subtraction with and without pause detection in reducing noise while minimizing distortion to speech.
ER -