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RISS 인기검색어
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- 저자 : 방동혁(Dong-hyeouck Bang) (검색결과 2 건)
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방동혁(Dong-hyeouck Bang),길세기(Se-kee Kil),강현덕(Hyun-deok Kang),윤광섭(Gwang-sub Yoon),이상민(Sang-min Lee) 대한전기학회 2009 전기학회논문지 Vol.58 No.4
In this paper, a noise cancellation-method using microphone array for digital hearing aids is proposed. The microphone array is located around the ear of a dummy. Speech sound is generated from the forward speaker positioned in the front of the dummy and noise sound is generated from the backward speaker. The speech and noise are mixed in the air space and entered into the microphones. VAD(voice activity detector) and ANC(adaptive noise cancellation) methods were used to eliminate noise in the sound of the microphones. 10 two-syllable words and 4 sentences were used for speech signals. Babble and car interior noise were used for noise signals. The performance of the proposed algorithm was evaluated by SNR(signal-to-noise ratio) and PESQ-MOS(perceptual evaluation of speech quality-mean opinion score). In babble noise condition, SNR was improved as much as 7.963±1.3620㏈ and 3.968±0.6659㏈ for words and sentences respectively. In the case of car interior noise, SNR was improved as 10.512±2.0665㏈ and 6.000±1.7642㏈ for words and sentences respectively. PESQ-MOS of the babble noise was improved as much as 0.1722±0.0861 score for words and 0.083±0.0417 score for sentences. And PESQ-MOS of the car interior noise was improved as 0.2661±0.0335 score and 0.040±0.0201 score for words and sentences respectively. It is verified that the proposed algorithm has a good performance in noise cancellation of microphone array for digital hearing aids.
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전역 음성 부재 확률 기반의 향상된 최소값 제어 재귀평균기법을 이용한 음성 향상 기법
송지현(Ji-Hyun Song),방동혁(Dong-Hyeouck Bang),이상민(Sangmin Lee) 대한전자공학회 2012 電子工學會論文誌-SP (Signal processing) Vol.49 No.1
In this paper, we propose a novel method to improve the performance of the improved minima controlled recursive averaging (IMCRA). From an examination for various noise environment, it is shown that the IMCRA has a fundamental drawback for the noise power estimate at the offset region of continuity speech signals. Espectially, it is difficult to obtain the robust estimates of the noise power in non-stationary noisy environments that is rapidly changed the spectral characteristics such as babble noise. To overcome the drawback, we apply the global speech absence probability (GSAP) conditioned on both a priori SNR and a posteriori SNR to the speech detection algorithm of IMCRA. With the performance criteria of the ITU-T P.862 perceptual evaluation of speech quality (PESQ) and a composite measure test, we show that the proposed algorithm yields better results compared to the conventional IMCRA-based scheme under various noise environments. In particular, in the case of babble 6 dB, the proposed method produced a remarkable improvement compared to the IMCRA (PESQ = 0.026, composite measure = 0.029). 본 논문에서는 향상된 최소값 제어 재귀 평균 기법 (improved minima controlled recursive averaging, IMCRA) 알고리즘의 잡음 전력 추정성능을 향상 시키기 위한 알고리즘을 제안한다. 기존의 IMCRA은 주파수 특성이 빠르게 변화하는 비정상적인 환경과 낮은 SNR을 갖는 상황에서 잡음 전력 추정에 직접적으로 영향을 미치는 음성 검출기의 성능이 강인하지 못한 단점이 있다. 본 연구에서는 강인한 음성 검출 성능을 위해서 기존 IMCRA의 음성 검출기에 전역 음성 부재 확률을 적용한 음성 향상 기법을 제안한다. 제안된 알고리즘의 성능 평가는 음성의 perceptual evaluation of speech quality (PESQ)와 composite measure를 통한 음질을 평가하였다. 실험 결과 다양한 잡음 환경 (car, white, babble)에서 전역 음성 부재 확률을 적용한 IMCRA의 음성향상 기법이 향상된 결과를 보여주었다. 특히, 비정상잡음 환경인 babble 6dB에서 PESQ 0.026, composite measure 0.029의 향상된 음질을 나타내었다.
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