• 제목/요약/키워드: Automatic Phone Recognition

검색결과 29건 처리시간 0.025초

Smart Phone Road Signs Recognition Model Using Image Segmentation Algorithm

  • Huang, Ying;Song, Jeong-Young
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2012년도 추계학술대회
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    • pp.887-890
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    • 2012
  • Image recognition is one of the most important research directions of pattern recognition. Image based road automatic identification technology is widely used in current society, the intelligence has become the trend of the times. This paper studied the image segmentation algorithm theory and its application in road signs recognition system. With the help of image processing technique, respectively, on road signs automatic recognition algorithm of three main parts, namely, image segmentation, character segmentation, image and character recognition, made a systematic study and algorithm. The experimental results show that: the image segmentation algorithm to establish road signs recognition model, can make effective use of smart phone system and application.

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스마트폰을 이용한 은행 보안카드 자동 인식 (Automatic Recognition of Bank Security Card Using Smart Phone)

  • 김진호
    • 한국콘텐츠학회논문지
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    • 제16권12호
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    • pp.19-26
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    • 2016
  • 모바일 뱅킹을 위해 제공되는 다양한 서비스들 중에 은행 보안카드를 이용한 사용자 인증 방식이 여전히 많이 활용되고 있다. 보안카드의 보안코드를 스마트폰에 암호화하여 저장해 두고 모바일 뱅킹을 위해 사용자 인증이 필요할 때 자동 입력되도록 한다면 보안카드를 소지하지 않고서도 모바일뱅킹을 안전하고 편리하게 사용할 수 있다. 본 논문에서는 스마트폰 카메라를 이용하여 보안카드의 보안코드를 자동으로 인식하고 스마트폰에 등록할 수 있는 보안카드 자동 인식 알고리즘을 제안하였다. 다양한 무늬의 배경이 디자인된 보안카드에서 숫자들만 정확하게 추출하기 위해 개선된 적응적 이진화 방법을 사용하였고 훼손되거나 붙은 숫자들까지 분할 인식하기 위해 적응적 2차원 레이아웃 해석 기법도 제안하였다. 제안한 알고리즘을 안드로이드 및 아이폰에 구현하고 실험해본 결과 매우 우수한 인식 결과를 얻을 수 있었다.

Analyzing vowel variation in Korean dialects using phone recognition

  • Jooyoung Lee;Sunhee Kim;Minhwa Chung
    • 말소리와 음성과학
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    • 제15권4호
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    • pp.101-107
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    • 2023
  • This study aims to propose an automatic method of detecting vowel variation in the Korean dialects of Gyeong-sang and Jeol-la. The method is based on error patterns extracted using phone recognition. Canonical and recognized phone sequences are compared, and statistical analyses distinguish the vowels appearing in both dialects, the dialect-common vowels, and the vowels with high mismatch rates for each dialect. The dialect-common vowels show monophthongization of diphthongs. The vowels unique to the dialects are /we/ to [e] and /ʌ/ to [ɰ] for Gyeong-sang dialect, and /ɰi/ to [ɯ] in Jeol-la dialect. These results corroborate previous dialectology reports regarding phonetic realization of the Korean dialects. The current method provides a possibility of automatic explanation of the dialect patterns.

Verification of Normalized Confidence Measure Using n-Phone Based Statistics

  • Kim, Byoung-Don;Kim, Jin-Young;Na, Seung-You;Choi, Seung-Ho
    • 음성과학
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    • 제12권1호
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    • pp.123-134
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    • 2005
  • Confidence measure (CM) is used for the rejection of mis-recognized words in an automatic speech recognition (ASR) system. Rahim, Lee, Juang and Cho's confidence measure (RLJC-CM) is one of the widely-used CMs [1]. The RLJC-CM is calculated by averaging phone-level CMs. An extension of the RLJC-CM was achieved by Kim et al [2]. They devised the normalized CM (NCM), which is a statistically normalized version of the RLJC-CM by using the tri-phone based CM normalization. In this paper we verify the NCM by generalizing tri-phone to n-phone unit. To apply various units for the normalization, mono-phone, tri-phone, quin-phone and $\infty$-phone are tested. By the experiments in the domain of the isolated word recognition we show that tri-phone based normalization is sufficient enough to enhance the rejection performance of the ASR system. Also we explain the NCM in regard to two class pattern classification problems.

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한국어 음성인식을 위한 음성학 기반의 유사음소단위 집합 설계 (A Phonetics Based Design of PLU Sets for Korean Speech Recognition)

  • 홍혜진;김선희;정민화
    • 대한음성학회지:말소리
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    • 제65호
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    • pp.105-124
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    • 2008
  • This paper presents the effects of different phone-like-unit (PLU) sets in order to propose an optimal PLU set for the performance improvement of Korean automatic speech recognition (ASR) systems. The examination of 9 currently used PLU sets indicates that most of them include a selection of allophones without any sufficient phonetic base. In this paper, a total of 34 PLU sets are designed based on Korean phonetic characteristics arid the effects of each PLU set are evaluated through experiments. The results show that the accuracy rate of each phone is influenced by different phonetic constraint(s) which determine(s) the PLU sets, and that an optimal PLU set can be anticipated through the phonetic analysis of the given speech data.

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Comparison of Phone Boundary Alignment between Handlabels and Autolabels

  • Jang, Tae-Yeoub;Chung, Hyun-Song
    • 음성과학
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    • 제10권1호
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    • pp.27-39
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    • 2003
  • This study attempts to verify the reliability of automatically generated segment labels as compared to those obtained by conventional labelling by hand. First of all, an autolabeller is constructed using the standard HMM speech recognition technique. For evaluation, we compare the automatically generated labels with manually annotated labels for the same speech data. The comparison is performed by calculating the temporal difference between an autolabel boundary and its corresponding hand label boundary. When the mismatched duration between two labels falls within 10 msec, we consider the autolabel as correct. The results suggest that overall 78% of autolabels are correctly obtained. It is found that the boundary of obstruents is better aligned than that of sonorants and vowels. In case of stop sound classes, strong stops in manner-of-articulation wise and velar stops in place-of-articulation wise show better performance in boundary alignment. The result suggests that more phone-specific consideration is necessary to improve autosegmentation performance.

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모바일 이미지 기반의 문자인식 시스템 (The Character Recognition System of Mobile Camera Based Image)

  • 박영현;이형진;백중환
    • 한국산학기술학회논문지
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    • 제11권5호
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    • pp.1677-1684
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    • 2010
  • 최근 모마일 폰의 발달과 스마트 폰의 보급으로 인해서 많은 콘텐츠들이 개발되어지고 있다. 특히, 모바일 휴대장치에 소형 카메라가 탑재되면서부터 카메라로부터 입력되어지는 영상 기반 콘텐츠 개발은 사람들의 흥미뿐만 아니라 활용 면에서도 중요한 부분을 차지하고 있다. 그중 문자인식 시스템은 시각 장애인 보행 보조 시스템, 로봇 자동 주행 시스템, 비디오 자동 검색 및 색인 시스템, 텍스트 자동 번역 시스템 등과 같은 활용영역에서 매우 광범위하게 쓰일 수 있다. 따라서 본 논문에서는 스마트 폰 카메라로 입력되는 자연 영상에 포함되어 있는 텍스트를 추출 및 인식하고 음성으로 출력해주는 시스템을 제안하였다. 텍스트 영역을 추출하기 위해 Adaboost 알고리즘을 이용하고 추출된 개별 텍스트 후보영역의 문자 인식에는 오류 역전파 신경망을 이용하였다.

Vowel Fundamental Frequency in Manner Differentiation of Korean Stops and Affricates

  • Jang, Tae-Yeoub
    • 음성과학
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    • 제7권1호
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    • pp.217-232
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    • 2000
  • In this study, I investigate the role of post-consonantal fundamental frequency (F0) as a cue for automatic distinction of types of Korean stops and affricates. Rather than examining data obtained by restricting contexts to a minimum to prevent the interference of irrelevant factors, a relatively natural speaker independent speech corpus is analysed. Automatic and statistical approaches are adopted to annotate data, to minimise speaker variability, and to evaluate the results. In spite of possible loss of information during those automatic analyses, statistics obtained suggest that vowel F0 is a useful cue for distinguishing manners of articulation of Korean non-continuant obstruents having the same place of articulation, especially of lax and aspirated stops and affricates. On the basis of the statistics, automatic classification is attempted over the relevant consonants in a specific context where the micro-prosodic effects appear to be maximised. The results confirm the usefulness of this effect in application for Korean phone recognition.

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스마트 폰 음성 인식 서비스의 상황별 만족도 조사 (Study on the Situational satisfaction survey of Smart Phone based on voice recognition technology)

  • 이윤정;김승인
    • 디지털융복합연구
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    • 제15권8호
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    • pp.351-357
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    • 2017
  • 본 연구는 스마트 폰 음성인식 서비스를 분석하고 음성인식 서비스의 상황별 만족도 조사를 통하여 사용자들의 기대요구와 만족도 간의 관련성을 분석하여 더 나은 음성인식 서비스 발전을 모색하고자 하였다. 1차로 문헌연구를 통하여 음성인식 서비스의 개념과 현황을 알아보고, 2차로 육하원칙을 기조로 한 설문지를 통해 설문 조사를 진행하였다. 그 결과, 사용자는 스마트 폰 음성인식 서비스를 전화를 걸 때에 가장 많이 사용하며, 주로 혼자 있을 때 사용하며 시간대는 대체로 평이하지만, 저녁 시간이 가장 많았다. 또한, 해당 서비스는 집에서 가장 많이 사용하며 손을 사용할 수 없을 때 서비스를 가장 많이 사용하는 것으로 나타났다. 이러한 상황별 다양한 결과를 통해 개인화 서비스, 조건 인식 기능, 위급 상황 자동인식, 음성으로 잠금 해제 등 다양한 방안을 도출할 수 있었다. 본 연구를 바탕으로 추후 국내 스마트 폰 음성인식 서비스 개선과 웨어러블 디바이스 개발을 위해 효과적으로 활용할 수 있을 것으로 기대한다.

Modified Phonetic Decision Tree For Continuous Speech Recognition

  • Kim, Sung-Ill;Kitazoe, Tetsuro;Chung, Hyun-Yeol
    • The Journal of the Acoustical Society of Korea
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    • 제17권4E호
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    • pp.11-16
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    • 1998
  • For large vocabulary speech recognition using HMMs, context-dependent subword units have been often employed. However, when context-dependent phone models are used, they result in a system which has too may parameters to train. The problem of too many parameters and too little training data is absolutely crucial in the design of a statistical speech recognizer. Furthermore, when building large vocabulary speech recognition systems, unseen triphone problem is unavoidable. In this paper, we propose the modified phonetic decision tree algorithm for the automatic prediction of unseen triphones which has advantages solving these problems through following two experiments in Japanese contexts. The baseline experimental results show that the modified tree based clustering algorithm is effective for clustering and reducing the number of states without any degradation in performance. The task experimental results show that our proposed algorithm also has the advantage of providing a automatic prediction of unseen triphones.

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