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公开(公告)号：KR100978913B1
公开(公告)日：2010-08-31
申请号：KR1020090133972
申请日：2009-12-30
Applicant: 전자부품연구원
CPC classification number: G06F17/30758 , G06F17/30743 , G06F17/30761
Abstract: PURPOSE: A sound source search system and a method combining matching algorithms based on a plurality of SVM searching humming are provided to combine DTW(Dynamic Time Warping), EMD(Earth Mover's Distance) and matching score obtained from LS(Linear Scaling) method thereby providing exact sound source search result. CONSTITUTION: An audio signal analyzer(120) analyzes audio signal and extracts feature value of the audio signal. An audio signal matching searcher](140) uses feature value of corrected audio signal and applies the first and the second matching algorithm and produces the first and the second output value. The audio signal matching searcher uses the first and the second output value as an input and produces similarity measured value and searches and extracts sound source having high similarity based on the produced similarity measured value from sound source data base.
Abstract translation: 目的：提供一种基于多个SVM搜索哼声的声源搜索系统和组合匹配算法的方法，结合DTW（Dynamic Time Warping），EMD（Earth Mover's Distance）和LS（Linear Scaling）方法获得的匹配分数， 提供精确的声源搜索结果。 构成：音频信号分析器（120）分析音频信号并提取音频信号的特征值。 音频信号匹配搜索器（140）使用经校正的音频信号的特征值并应用第一和第二匹配算法并产生第一和第二输出值。 音频信号匹配搜索器使用第一和第二输出值作为输入，并且产生相似性测量值，并且基于从声源数据库产生的相似度测量值来搜索并提取具有高相似性的声源。
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Patent Agency Ranking
公开(公告)号：KR1020130077064A
公开(公告)日：2013-07-09
申请号：KR1020110145573
申请日：2011-12-29
Applicant: 전자부품연구원
CPC classification number: G06F17/30758 , G10L15/12 , G10L25/90
Abstract: PURPOSE: A fast music information retrieval system and method based on query by humming are provided to eliminate unnecessary matching attempts to unnecessary matching regions, thereby increase speed of music source retrieval while maintaining accuracy of retrieval. CONSTITUTION: A database (100) stores music sources, and a processor (200) searches for a partial region of the stored music sources and an inputted humming to explore changes of pitch values. The processor extracts feature information related to the explored changes from the inputted humming and the music sources, and measures a distance between the inputted humming and the music sources based on the extracted feature information. If the distance is less than a threshold, the processor performs matching by dynamic time warping (DTW) with the inputted humming and pitch values extracted from the music sources. [Reference numerals] (100) Database; (200) Processor; (AA) Input humming; (BB) Voice search result
Abstract translation: 目的：提供基于哼声查询的快速音乐信息检索系统和方法，消除对不必要匹配区域的不必要匹配尝试，从而提高音乐源检索速度，同时保持检索精度。 规定：数据库（100）存储音乐源，并且处理器（200）搜索所存储的音乐源的部分区域和输入的哼声以探索音调值的改变。 处理器从输入的哼声和音乐源中提取与探索的变化相关的特征信息，并且基于所提取的特征信息来测量输入的哼声和音乐源之间的距离。 如果距离小于阈值，则处理器通过动态时间扭曲（DTW）与从音乐源提取的输入的哼声和音调值进行匹配。 （附图标记）（100）数据库; （200）处理器; （AA）输入嗡嗡声; （BB）语音搜索结果
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公开(公告)号：KR101183663B1
公开(公告)日：2012-09-17
申请号：KR1020100121489
申请日：2010-12-01
Applicant: 전자부품연구원
Abstract: 본 발명은 허밍 기반 오디오 검색 시스템 및 방법에 대하여 개시한다. 본 발명의 일면에 따른 허밍 기반 오디오 검색 시스템은, 입력된 허밍(Humming)으로부터 특징 정보를 추출하는 특징 추출기; 피치 기반 LS(Linear Scaling), 피치 기반 DTW(Dynamic Time Warping), QB(Quantized Binary) 코드 기반 LS, 지역 최소/최대값 기반 LS 및 피치 분포특징 기반 LS 방식을 이용하여 상기 허밍과 데이터베이스 내 음원과의 매칭값들을 각기 산출하는 매칭기; 상기 매칭값들에 곱셈법칙을 적용하여 통합값을 산출하는 결합기; 및 상기 통합값을 이용하여 상기 허밍과 동일한 상기 음원을 검색하는 검색기를 포함하는 것을 특징으로 한다.
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公开(公告)号：KR100978914B1
公开(公告)日：2010-08-31
申请号：KR1020090133973
申请日：2009-12-30
Applicant: 전자부품연구원
CPC classification number: G06F17/30758 , G06F17/30743 , G06F17/30761
Abstract: PURPOSE: A sound source search system and a method combining matching algorithms based on a plurality of SVM searching humming are provided to combine 3 kinds matching scores calculated from DP(Dynamic Programming) matching using pitch, DP matching using pitch value between front and rear and DP matching using pitch difference with first sound to SVR thereby providing exact search result. CONSTITUTION: An audio signal matching searcher(140) applies pitch values of corrected audio signal, arrangement of difference value between pitch value adjacent to the corrected audio signal and pitches of the corrected audio signal and dynamic matching algorithm in the first pitch and difference values and produces the first, the second and the third output values. The audio signal matching search unit uses the fist-third output value as input and produces similarity measured value.
Abstract translation: 目的：提供一种基于多个SVM搜索蜂鸣的组合匹配算法的声源搜索系统和方法，组合使用间距进行DP（动态编程）匹配计算的3种匹配分数，使用前后间距值进行DP匹配， DP使用音调差与第一声音到SVR的匹配，从而提供精确的搜索结果。 构成：音频信号匹配搜索器（140）应用校正音频信号的音调值，与校正音频信号相邻的音调值与校正音频信号的音高和第一音高和差值之间的动态匹配算法的差值的排列，以及 产生第一，第二和第三输出值。 音频信号匹配搜索单元使用第三输出值作为输入，并产生相似度测量值。
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公开(公告)号：KR1020120060281A
公开(公告)日：2012-06-12
申请号：KR1020100121489
申请日：2010-12-01
Applicant: 전자부품연구원
CPC classification number: G06F17/30758 , G06F17/30743 , G10L15/12
Abstract: PURPOSE: A humming based audio searching system and method thereof are provided to enable a user to search desired sound by comparing user humming with sound stored in a data base. CONSTITUTION: A feature extraction apparatus(120) extracts feature information by inputting humming. A matching apparatus(130) respectively calculates matching values between the humming and a sound source stored in a database by using a pitch based LS(Linear Scaling), a pitch base DTW(Dynamic Time Warping), and a QB(Quantized Binary) code based LS method. A combination apparatus(140) calculates integrated values by applying multiplication to the matching values. A searching apparatus(150) searches the sound source similar with the humming by using the integrated values.
Abstract translation: 目的：提供基于蜂鸣音的音频搜索系统及其方法，以使用户能够通过将用户蜂鸣与存储在数据库中的声音进行比较来搜索期望的声音。 构成：特征提取装置（120）通过输入哼声来提取特征信息。 匹配装置（130）通过使用基于音调的LS（线性缩放），音高基DTW（动态时间扭曲）和QB（量化二进制）码分别计算哼声和存储在数据库中的声源之间的匹配值 基于LS方法。 组合装置（140）通过对匹配值进行乘法来计算积分值。 搜索装置（150）通过使用积分值来搜索类似于蜂鸣声的声源。
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公开(公告)号：KR101302568B1
公开(公告)日：2013-09-02
申请号：KR1020110145573
申请日：2011-12-29
Applicant: 전자부품연구원
Abstract: 허밍 질의 기반 음원 검색 고속화 방법이 개시된다. 이 방법은 입력 허밍과 음원의 일부 영역에서 음의 높이 값 변화 포인트를 탐색하는 단계, 상기 탐색된 포인트와 관련된 특징 정보를 상기 입력 허밍과 상기 음원에서 각각 추출하는 단계, 상기 추출된 입력 허밍의 특징 정보와 상기 추출된 음원의 특징 정보에 기반하여 상기 입력 허밍과 상기 음원의 거리를 측정하는 단계, 및 상기 측정된 거리가 임계치 미만이면, 상기 입력 허밍과 상기 음원에서 추출된 음의 높이 값들을 가지고 DTW(Dynamic Time Warping) 매칭을 수행하는 단계를 포함한다. 이에 의해 고속으로 음원 검색 결과를 제공하는 것이 가능해진다.
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