• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1797-1798
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• 2007

In field of voice pathology, diverse statistics extracted form pitch estimation were commonly used to assess voice quality. In this study, we proposed robust pitch detection algorithm which can estimate pitch of pathological voices in benign vocal fold lesions. we also compared our proposed algorithm with three established pitch detection algorithms; autocorrelation, simplified inverse filtering technique, and nonlinear state-space embedding methods. In the database of total pathological voices of 99 and normal voices of 30, an analysis of errors related with pitch detection was evaluated between pathological and normal voices, or among the types of pathological voices. According to the results of pitch errors, gross pitch error showed some increases in cases of pathological voices; especially excessive increase in PDA based on nonlinear time-series. In an analysis of types of pathological voices classified by aperiodicity and the degree of chaos, the more voice has aperiodic and chaotic, the more growth of pitch errors increased. Consequently, it is required to survey the severity of tested voice in order to obtain accurate pitch estimates.

• Journal of the Korea Society of Computer and Information
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• v.7 no.3
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• pp.49-55
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• 2002

This paper proposes speaker recognition algorithm which includes both the pitch parameter and the fuzzy. This study proposes a pitch detection method for the peak and valley pitch detection function by means of comparing spectra which utilizes the transform characteristics between time and frequency. It measures the similarity to the original spectrum while arbitrarily varying the period in the time domain. It heavily weights the error due to the changing characteristics of the phonemes, while it is strong against noise. In this paper, makes reference pattern using membership function and performs vocal track recognition of common character using fuzzy pattern matching in odor to include time variation width for non-linear utterance time.

• Journal of the Korea Society of Computer and Information
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• v.5 no.3
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• pp.51-57
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• 2000

This paper proposes speaker recognition algorithm which includes both the pitch and the fuzzy. This study proposes a pitch detection method for the peak and valley pitch detection function by means of comparing spectra which utilizes the transform characteristics between time and frequency. It measures the similarity to the original spectrum while arbitrarily varying the period in the time domain. It heavily weights the error due to the changing characteristics of the phonemes, while it is strong against noise. In this paper, makes reference pattern using membership function and performs vocal track recognition of common character using fuzzy pattern matching in order to include time variation width for non-linear utterance time.

• Journal of Korean Academy of Nursing
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• v.35 no.1
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• pp.5-15
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• 2005

Purpose: This study was conducted to develop a behavioral checklist to predict an autistic disorder and to identify the earliest detecting time. Method: One hundred and fifty eight children including normal, autistic, institutionalized normal, and retarded were assessed using critical interaction behavioral markers from literature review. Data was collected by semi-structured mother-child interaction by videotape recording and analyzed byfactor analysis, Cronbach a, Kappa, $x^2$, and Duncan. Result: Ten behavioral markers were sorted into 2 factors; joint-attention and synchronized behavior. Autistic children were impaired in pretend play, odeclarative pointing, proimperative pointing, gaze-monitoring, referential looking, showing, joint-attention, rhythmical vocal exchange, and synchronized laughing. The sychronized behavior was also a critical marker to predict the autistic disorder. However, it was difficult to differentiate autistic disorder from mental retardation. In addition, the appropriate detecting time was around 18 months after birth. Conclusion: This checklist should be behavior markers to predict autistic disorder and could be useful as educational material at children's clinics, parents class, and for caregivers in the health center. In addition, early detection should lead to treatment being started as soon after 18 months of age as possible.

• Korean Journal of Bronchoesophagology
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• v.4 no.2
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• pp.197-204
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• 1998

Human papillomavirus(HPV) is epitheliotrophic virus invading the anogenital tract and the upper aerodigestive tract HRV produces a diversity of benign and maljgnant tumors. In this study, the author determined the frequency of association of human papillomavirus(HPV) and laryngeal carcinomas and investigated the significance of HRV infection of different subtypes in the tumorigenesis of laryngeal carcinoma. Laryngeal squamous cell cancinomas from 34 patients who did not have preexisting papillomas by clinical history were retrieved from formalin-fixed, paraffin-embedded blocks and analyzed for HPV. Nineteen cases were tumors of the true vocal folds, 11 were supraglottic and 4 were transglottic. HPV detection was dane using polymerase chain reaction amplification with HPV L$_1$consensus primer. HPV type was determined by the same method using HPV-6, 11 and 16,-18 type-specific E6 primers. The results were as follows : 1) HPV DNA was detected in 7 cases among the 34 patients(20.6%). According to the type of HPV DNA HPV-11 was detected in 3 cases, HPV-16 was detected in 2 cases and HPV-6 and HPV-18 were detected in 1 case, respectively. 2) These 7 HPV-positive patients were advanced cancinoma cases. From these results, we concluded that HPV was thought to be the etiological factor of laryngeal squamous cell carcinomas.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.10
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• pp.2708-2714
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• 2009

Due to poor linguistic communication skills of sucklings and infants, crying mostly is only means of communication to express their body conditions and desires. We, therefore, developed an infant auscultation system which detects which part of the body has a pathological problem, by analysing infant's crying sound patterns. Specifically, in this paper, we accomplished an auscultation system for congenital heart diseases detection by performing pitch, intensity and spectrum analysis of the crying sounds between the normal infants group and the congenital heart diseases group. With this system, we can diagnose congenital heart diseases of infants with poor communication capacity, and, in the near future, can build a home care diagnosis system based on crying sound analysis technologies through additional experiments on medical data.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06c
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• pp.422-426
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• 2007

음성 질의에서 효율적으로 onset을 검출하기 위한 연구는 다양하게 이루어져 왔다. 특히 대부분의 연구는 확률론적 모델에서 큰 성과를 나타내고 있다. 그러나 이러한 모델들은 변화나 확장이 쉽지 않다는 단점을 가지고 있다. 본 논문에서는 동적 확장 가능한 다중 계층 신경망(Dynamic Expansible MLP)을 제안하여, 기존 방법론의 확장 가능성을 모색한다. 또한, 음성 질의의 onset을 검출하기 위해 MLP를 활용하기 위한 모델을 제시한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.1
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• pp.213-219
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• 2004

This paper proposes speaker recognition algorithm which includes the pitch parameter for the peak and valley. The time-frequency hybrid method for pitch extraction is valuable in that it can improve resolution in the time domain and accuracy in the frequency domain at the same time. It makes reference pattern using membership function and performs vocal track recognition of common character using fuzzy pattern matching in order to include time variation width for non-linear utterance for proposed method, speaker recognition experiments are carried out using vowels and number sounds.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.8 no.2
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• pp.173-177
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• 1997

The speech movements are acquired activity, not determined by instincts or by biologic inheritance either. The child listens to the sound from the surrounding persons, observes the speech movement of the people and tried to imitate them. Then the child acquires their specific phonation pattern. We guessed that the parents influences to the child are very important in the developing of the speech movements. Because the parents are first contact person to the baby. The recognition of parents about the voice changes in the child will be important too. And social environments such as kindergarden, school, friends contact with, can influence to the voice of the child. We investigated the state of the voice, parents influence and social environmental factor. In the bases of this study, we knew that the parents recognition about the voice changes of child, faulty vocal habits of child, social environmental factors influenced to the voice of child. And we thought we have to do our best for the early detection of voice changes and proper treatment.

• Korean Journal of Head & Neck Oncology
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• v.12 no.2
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• pp.201-205
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• 1996

Early detection of glottic cancer, facilitated by rigid telescopes or flexible fiberoptic laryngoscope in addition to sparse true vocal cord lymphatics, makes this a highly curable tumor in its early stage. Early glottic cancer has a high cure rate with only radiotherapy or conservative surgery. However complications such as mucositis with radiotherapy and voice complications with conservative surgery has raised recent interest in endolaryngeal laser cordectomy. Laser cordectomy can preserve phonatory function and avoid the complications such as mucositis of radiotherapy. To determine the effectiveness of laser cordectomy, the authors made a two year retrospective study of 23 early glottic cancer cases. Fourteen cases(60.9%) who underwent 1 to 3 endoscopic laser cordectomy with KTP-532 laser were cured with this procedure alone. Seven cases needed an additional radiotherapy and three cases needed therapy with salvage operation. We conclude that the endoscopic laser surgery is a good strategy for the properly selected glottic cancer.