• 융합신호처리학회논문지
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• 제15권3호
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• pp.91-96
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• 2014

두 개의 입력소자에 의한 음원방향 및 분리방법으로서는 연산량이 적고, 음원분리 성능이 높은 주파수 양귀 모델(Frequency Domain Binaural Model : FDBM)이 있다. FDBM은 주파수 영역에서 양귀간 위상차(Interaural Phase Difference : IPD) 및 양귀간 레벨차(Interaural Level Difference : ILD)를 구하여 음향신호가 오는 방향과 음원의 분리처리를 한다. 그러나 실제 환경에서는 반사음의 문제가 되고 있다. 이러한 반사음에 의한 영향을 줄이기 위하여 선행음 효과에 의한 직접음의 음상정위를 모의하여 초기 도착음을 검출하고 직접음이 오는 방향과 음원분리 방법을 제시하였다. 제시한 방법을 이용하여 음원방향 추정 및 분리에 대한 성능을 시뮬레이션으로 검토하였다. 그 결과, 방향추정은 음원이 오는 방향에서 ${\pm}10%$의 범위로 집중되어 음원의 방향과 가까운 값으로 추정되었다, 반사음이 존재하는 경우의 음원분리는 기존의 FDBM에 비하여 코히런스(Coherence), 음성품질 지각평가 PESQ(Perceptual Evaluation of Speech Quality : PESQ)가 높고, 정면에서의 지향특성 감쇠량이 작아 분리의 정도가 개선됨을 나타내었다. 그러나 반사음이 존재하지 않는 경우는 분리 정도가 낮았다.

• 한국콘텐츠학회논문지
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• 제5권4호
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• pp.254-264
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• 2005

본 논문에서는 기존의 문제점들을 극복하기 위한 개선된 E-Model을 제안하였다. 새로운 모델은 버스트 패킷손실과 최신효과를 적용하여 VoIP 품질 측정의 정확도를 높일 수 있다. 개선된 E-Model은 길버트 모델에 의해 생성된 버스트 패킷 손실에 따라 NR(Network R) 값과 UR(User R) 값을 측정한다. 기존 모델들인 MOS, PESQ, E-Model과 비교하여 시뮬레이션을 수행하였으며, 실험 결과 개선된 E-Model이 기존 모델들보다 정확하고 신뢰성 있음이 증명되었다.

• 한국음향학회지
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• 제34권5호
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• pp.403-409
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• 2015

본 논문에서는 G.711 패킷 손실 은닉 알고리즘의 성능향상을 위해 적응적 신호 크기 예측을 사용하는 패킷 손실 알고리즘을 제안한다. 기존의 방법은 연속 손실이 발생하였을 때 20 %의 감쇠인자를 가지고 이득조절을 수행하였다. 그러나 이 방법은 신호의 변화를 고려하지 않기 때문에 신호가 왜곡되는 경우가 발생한다. 따라서 Least Mean Square(LMS) 예측기를 사용하여 이전과 이후 프레임의 정보를 통한 적응적 신호 크기 예측으로 이득을 조절하는 것을 제안한다. 제안된 알고리즘의 성능 평가는 Perceptual Evaluation of Speech Quality(PESQ) 평가를 통하여 나타내었다.

• 한국인터넷방송통신학회논문지
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• 제9권5호
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• pp.129-132
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• 2009

프레임 손실은 VoIP 망에서의 음질 저하의 주요 원인이다. 본 논문에서는 VoIP 망에서 주로 사용되는 CELP 기반 음성부호화기의 음질 저하를 최소화하기 위해 비선형 회귀분석 기반의 프레임손실은닉 알고리즘을 제안한다. 제안된 기법은 ITU-T G.729 표준 코덱에 적용되었으며, 기존 방법들에 비해 향상된 PESQ 성능을 보였다.

• 대한음성학회지:말소리
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• 제64호
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• pp.105-119
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• 2007

Noise reduction technologies are indispensable to achieve acceptable speech quality in VoIP systems. This paper proposes a Wiener filter optimized to the estimated SNR of noisy speech for the noise reduction in VoIP environments. The proposed noise canceller is applied as a pre-processor before speech encoding. The performance of the proposed method is evaluated by the PESQ in various noisy conditions. In this paper, the proposed algorithm is applied to G.711, G.723.1, and G.729A which are all VoIP speech codecs. The PESQ results show that the performance of our proposed noise reduction scheme outperforms those of the noise suppression in the IS-127 EVRC and the ETSI standard for the advanced distributed speech recognition front-end.

• 전기학회논문지
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• 제59권6호
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• pp.1120-1125
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• 2010

In the speech system, for example hearing aid as well as speech communication, speech quality is degraded by environmental noise. In this study, to enhance the speech quality which is degraded by environmental speech, we proposed an algorithm to reduce the noise and reinforce the speech. The minima controlled recursive averaging (MCRA) algorithm is used to estimate the noise spectrum and spectral weighting factor is used to reduce the noise. And partial masking effect which is one of the human hearing properties is introduced to reinforce the speech. Then we compared the waveform, spectrogram, Perceptual Evaluation of Speech Quality (PESQ) and segmental Signal to Noise Ratio (segSNR) between original speech, noisy speech, noise reduced speech and enhanced speech by proposed method. As a result, enhanced speech by proposed method is reinforced in high frequency which is degraded by noise, and PESQ, segSNR is enhanced. It means that the speech quality is enhanced.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.873-874
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• 2008

In this paper, we propose a packet loss concealment (PLC) algorithm for CELP speech coders, which is based on multiple adaptive codebooks by using comfort noise for the lost packet recovery. The multiple adaptive codebooks are composed of a conventional adaptive codebook to model periodic excitation of speech and another adaptive codebook to provide a better estimate of excitation when packets are lost in the speech onset region. The performance of the proposed PLC algorithm is evaluated by implementing it into the G.729 decoder and compared with that of the PLC algorithm employed in the G.729 decoder by means of perceptual evaluation of speech quality (PESQ). It is shown from the experiments under different burstiness of packet loss rates of 3% and 5% that the proposed PLC algorithm provides higher PESQ scores than the G.729 PLC algorithm.

• 전기학회논문지
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• 제59권4호
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• pp.831-840
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• 2010

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.

• 전기학회논문지
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• 제58권4호
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• pp.857-866
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• 2009

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 $7.963{\pm}1.3620dB\;and\;3.968{\pm}0.6659dB$ for words and sentences respectively. In the case of car interior noise, SNR was improved as $10.512{\pm}2.0665dB\;and\;6.000{\pm}1.7642dB$ for words and sentences respectively. PESQ-MOS of the babble noise was improved as much as $0.1722{\pm}0.0861$ score for words and $0.083{\pm}0.0417$ score for sentences. And PESQ-MOS of the car interior noise was improved as $0.2661{\pm}0.0335$ score and $0.040{\pm}0.0201$ 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.

• 재활복지공학회논문지
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• 제8권1호
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• pp.41-46
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• 2014

본 논문에서는 잡음 상황에서 강인한 음성 특성을 나타내는 TE (teager energy) 기반의 특징벡터를 이용한 음성 검출 알고리즘을 제안하였다. 입력 신호에 TEO (teager energy operator)를 적용하고, 이를 이용하여 음성 검출 알고리즘에서 우수한 성능을 보여주는 파워 스펙트럼 편차를 구하였다. 또한, 제안된 음성 검출 알고리즘의 성능 향상을 위하여 통계적 모델 기반의 우도비를 TE 기반의 파워 스펙트럼 편차의 가중치 요소로 적용하였다. 제안된 알고리즘의 성능 검증을 위해서 전체 오차율, ROC (receiver operating characteristics), PESQ (perceptual evaluation of speech quality)와 같은 객관적 실험을 수행하였다. 실험결과 5dB SNR 이하의 낮은 SNR을 갖는 비 정상 잡음 환경에서 제안한 음성 검출 알고리즘이 약 2.6%의 전체 오차율 감소와 약 0.053의 PESQ 점수 향상을 나타내었다.