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디지털 보청기를 위한 다중 마이크로폰을 이용한 잡음제거 성능 연구
강현덕(Kang, Hyun-Deok),송영록(Song, Young-Rok),이상민(Lee, Sang-Min) 한국전기전자학회 2010 전기전자학회논문지 Vol.14 No.1
본 연구에서는 잡음환경에서 디지털 보청기의 잡음제거를 위해 2,3,4,5개의 마이크로폰을 이용해 잡음제거를 하고 비교 분석 하였다. 실제 디지털 보청기에서 사용할 수 있게 하기 위해 귀걸이형 (behind-the-ear type, BTE) 보청기의 형태와 유사하게 마이크로폰을 배열한 실험 세트를 구성하여 각각의 조건에 따라 신호녹음을 하였고, 녹음된 각각의 신호들을 멀티 마이크로폰을 이용한 잡음제거 알고리즘으로 잡음 제거하였다. 평가 방법에 따라 잡음제거 전과 후의 SNR (Signal to Noise Ratio)과 PESQ (Perceptual Evaluation of Speech ) 측정 분석 결과 마이크로폰 3개와 4개를 사용하였을 때 가장 높은 성능 향상을 보였으며 대부분의 경우에서 마이크로폰의 개수가 늘어남에 따라 성능이 향상된 것을 확인하였다. In this study, we analyzed the reduction of noise in a noise environment using 2, 3, 4 or 5 microphones in digital hearing aids. In order to be able to use this in actual digital hearing aids, we made the experiment microphone set similar to the behind-the-ear type (BTE) and then recorded the signal accordingly, with each situation. With the recorded signals, we reduced the noise in each signal by a noise reduction algorithm using multi-microphones. As a result, in the case of By comparing the SNR (Signal to Noise Ratio) and PESQ (Perceptual Evaluation of Speech) measurements, before and after the noise reduction, the results showed that the improvement in performance was highest when three or four microphones were used. Generally, when two or more microphones were used, we found that as the number of microphones increased there was an increase in performance.
강현덕(Hyun-Deok Kang),조강현(Kang-Hyun Jo) 전력전자학회 2005 전력전자학술대회 논문집 Vol.- No.-
본 논문에서는 전방향 등극기하를 이용하여 이동로봇의 효과적인 표식대응에 대하여 기술한다. 전방향 영상에서 등극점과 등극선의 특성에 따라 추출된 특징의 영상내 위치를 추정한다. 예측된 특징의 영상위치정보를 통해 효과적인 특징 대응을 하며 본 연구에서는 두영상에서 8개의 대응점을 이용하여 기초행렬 F를 구하고 이것으로 특징의 공간정보를 계산한다. 따라서 기초행렬 F에서 계산된 기본행렬 E로부터 로봇은 자신의 위치와 운동정보(회전,병진운동)를 알 수 있다. 또한 효과적인 특징대응을 위해 탐색범위를 축소함으로써 계산시간의단축과 강인한 특징대응을 제시하였다.
난청인의 주파수 선택도와 비대칭적 청각 필터를 고려한 난청 시뮬레이터 개발에 관한 연구
주상익(Sang-ick Joo),강현덕(Hyun-Deok Kang),송영록(Young-Rok Song),이상민(Sangmin Lee) 대한전기학회 2010 전기학회논문지 Vol.59 No.4
In this paper, we propose a hearing impairment simulator considering reduced frequency selectivity and asymmetrical auditory filter of the hearing impaired, and we verified the reduced frequency selectivity and asymmetrical auditory filter affected in speech perception through experiments. The reduced frequency selectivity has made embodied by spectral smearing using LPC(linear prediction coding). The shapes of auditory filter are asymmetrical different with each center frequency. Hearing impaired person which has hearing loss was differently changed with that of normal hearing people and it has different value for speech of quality through auditory filter. The experiments confirmed subjective test and objective test. The subjective experiments are composed of 4 kinds of tests: pure tone test, SRT(speech reception threshold) test, and WRS(word recognition score) test without spectral smearing, and WRS test with spectral smearing. The experiment of the hearing impairment simulator was performed from 9 subjects who have normal ears. The amount of spectral smearing was controlled by LPC order. The asymmetrical auditory filter of proposed hearing impairment simulator was simulated and then some tests to estimate the filter's performance objectively were performed. The objective experiment as simulated auditory filter's performance evaluation method used PESQ(perceptual evaluation of speech quality) and LLR(log likelihood ratio) for speech through auditory filter. The processed speech was evaluated objective speech quality and distortion using PESQ and LLR value. When hearing loss processed, PESQ and LLR value have big difference according to asymmetrical auditory filter in hearing impairment simulator.
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.