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김영국,김수미,김형순,왕수건,조철우,양병곤,Kim Young Kuk,Kim Su Mi,Kim Hyung Soon,Wang Soo-Geun,Jo Cheol-Woo,Yang Byung-Gon 대한음성학회 2004 말소리 Vol.50 No.-
Automatic detection of laryngeal diseases by voice is attractive because of its non-intrusive nature. Cepstrum based approach to detect laryngeal cancer shows reliable performance even when the periodicity of voice signals is severely lost, but it has a drawback that it is not robust to channel mismatch due to different microphone characteristics. In this paper, to deal with mismatched training and test microphone conditions, we investigate channel compensation techniques such as Cepstral Mean Subtraction (CMS) and Pole Filtered CMS (PFCMS). According to our experiments, PFCMS yields better performance than CMS. By using PFCMS, we obtained 12% and 40% error reduction over baseline and CMS, respectively.
다양한 잡음 환경하에서 환경 군집화를 통한 화자 및 환경 동시 적응
김영국,송화전,김형순,Kim, Young-Kuk,Song, Hwa-Jeon,Kim, Hyung-Soon 한국음향학회 2009 韓國音響學會誌 Vol.28 No.6
This paper proposes noise-robust fast speaker adaptation method based on the eigenvoice framework in various noisy environments. The proposed method is focused on de-noising and environment clustering. Since the de-noised adaptation DB still has residual noise in itself, environment clustering divides the noisy adaptation data into similar environments by a clustering method using the cepstral mean of non-speech segments as a feature vector. Then each adaptation data in the same cluster is used to build an environment-clustered speaker adapted (SA) model. After selecting multiple environmentally clustered SA models which are similar to test environment, the speaker adaptation based on an appropriate linear combination of clustered SA models is conducted. According to our experiments, we observe that the proposed method provides error rate reduction of $40{\sim}59%$ over baseline with speaker independent model. 본 논문에서는 eigenvoice 방식에 기반하여 다양한 잡음 환경에 강인한 고속 화자 적응 방법을 제안하였다. 제안된 방법은 잡음 제거 기술과 환경 군집화 방법을 기반으로 한다. 그러나, 잡음 제거 기술을 통해 잡음을 제거한 후에도 여전히 잔여 잡음이 존재하므로 비음성 구간의 켑스트럼 평균을 사용하여 잡음 환경별로 화자 적응 데이터를 분류한 후 각각의 환경별로 환경 모델을 구성한다. 이러한 환경 군집화를 적응데이터에 대해 구성한 후 테스트 음성이 입력되면 군집화된 모델 중에서 인식 데이터와 가장 유사한 복수의 환경별 군집화된 화자 적응 모델을 구한 후 이들의 가중함을 통해 화자 적응을 수행하는 방법이다. 제안된 방법은 적응 및 평가를 통해 화자 독립 모델을 사용한 경우에 비해 $40{\sim}59%$ 인식 오류 감소율을 얻었다.
김영국(Young Kuk Kim),강영우(Young Woo Kang) 대한내과학회 1995 대한내과학회지 Vol.49 No.5
Objectives; The present study was performed to evaluate the clinical and manometric findings of diffuse esophageal spasm. Methods: The clinical and manometric findings of 17 patients with diffuse esophageal spasm who diagnosed by esophageal manometry with solid state catheter were studied from August 1988 to August 1994 in gastrointestinal motility laboratory of Dongsan Hospital. Results: I he incidence of diffuse esophageal spasm was 3.2%(11/537cases). Male to female ratio was 1:3.3. Common chief compliants were dysphagia(8cases), chest pain(7cases), and globus sense (2cases). Most of the patients responded to drug therapy except one case who undertaken pneumatic dilatation. Associated manometric findings were repetitive contraction(6cases), hypertensive lower esophageal sphincter(4cases), high amplitude contraction(2cases), contraction of long duration(1case), retrograde contraction(lcase). Amplitude of simultaneous contractions was significantly lower than peristaltic contractions (35.0±18AmmHg vs 103.8±40.7mmHg). Conclusion: Diffuse esophageal spasm was an uncommon esophageal motility disorder with dysphagia and chest pain and was associated with nonspecific manometric findings.