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公开(公告)号：KR1020100096580A
公开(公告)日：2010-09-02
申请号：KR1020090015507
申请日：2009-02-24
CPC classification number: G10L17/26
Abstract: PURPOSE: A method for recognizing emotion by using a minimum classification error is provided to use discriminative weight to characteristic of emotion which is hard to classify, thereby improving the performance of recognizing the emotion. CONSTITUTION: An emotion recognition feature vector is extracted based on voice signal generated form a speaker and skin electricity reactivity of the speaker(S11). Based on extracted emotion recognition feature vector, neural emotion is classified by using a Gaussian mixture model(S12). By using Gaussian mixture model which discriminative weight, which minimizing a loss function value about the emotion recognition feature vector, is applied, pre-classified emotions except neutral emotion is classified(S13).
Abstract translation: 目的：提供一种通过使用最小分类误差来识别情绪的方法，以使用难以分类的情感特征的歧视性权重，从而提高识别情绪的表现。 构成：基于由扬声器产生的声音信号和扬声器的皮肤电反应性提取情感识别特征向量（S11）。 基于提取的情绪识别特征向量，使用高斯混合模型对神经情感进行分类（S12）。 通过使用高斯混合模型，将使情感识别特征向量的损失函数值最小化的区分权重应用于除了中性情绪之外的预分类情绪（S13）。
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公开(公告)号：KR100824312B1
公开(公告)日：2008-04-22
申请号：KR1020070076362
申请日：2007-07-30
Abstract: A system and a method for identifying a gender of a voice signal are provided to obtain a feature vector by using group delay of a voice signal phase spectrum and compare the obtained feature vector with a Gaussian mixture model of each gender voice signal according to an expectation maximization algorithm, thereby effectively detecting the gender of the voice signal. A gender identifying system comprises the followings. A storage unit(40) stores a Gaussian mixture model of each gender voice signal. An input unit(10) receives a signal including a voice signal. An analyzing unit(30) detects a gender of the inputted voice signal by comparing a feature vector, obtained by using group delay of the inputted voice signal, with the Gaussian mixture model stored in the storage unit. The gender identifying system comprises a voice detector(20) which extracts only a voice signal from the signal inputted in the input unit and transmits the extracted voice signal to the analyzing unit.
Abstract translation: 提供用于识别语音信号的性别的系统和方法，以通过使用语音信号相位谱的组延迟来获得特征向量，并且根据期望值将获得的特征向量与每个性别语音信号的高斯混合模型进行比较 最大化算法，从而有效检测语音信号的性别。 性别识别系统包括以下内容。 存储单元（40）存储每个性别语音信号的高斯混合模型。 输入单元（10）接收包括语音信号的信号。 分析单元（30）通过将通过使用输入的语音信号的组延迟获得的特征向量与存储在存储单元中的高斯混合模型进行比较来检测输入的语音信号的性别。 性别识别系统包括语音检测器（20），其仅从输入单元中输入的信号中提取语音信号，并将提取的语音信号发送到分析单元。
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公开(公告)号：KR100822024B1
公开(公告)日：2008-04-15
申请号：KR1020070076335
申请日：2007-07-30
Abstract: An acoustic signal based environment recognizing method for a context-aware communication terminal is provided to perform environment recognition without a special feature vector extracting process by using only an important parameter automatically in an encoding process. An environment recognizing method comprises the following steps of: configuring a Gaussian mixture model by using one or more feature vectors extracted from a real time voice signal during an SMV(Selectable Mode Vocoder) encoding process; obtaining likelihood for the real time voice signal by using the pre-trained Gaussian mixture model; and selecting an environment flag corresponding to the maximum likelihood value.
Abstract translation: 提供了一种用于上下文感知通信终端的基于声学信号的环境识别方法，用于在编码处理中仅使用自动重要参数来执行环境识别，而无需特殊特征向量提取处理。 环境识别方法包括以下步骤：在SMV（可选模式声码器）编码处理期间，通过使用从实时语音信号提取的一个或多个特征向量来配置高斯混合模型; 通过使用预先训练的高斯混合模型获得实时语音信号的可能性; 以及选择与最大似然值相对应的环境标志。
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公开(公告)号：KR101014321B1
公开(公告)日：2011-02-14
申请号：KR1020090015507
申请日：2009-02-24
CPC classification number: G10L17/26
Abstract: 개시된 최소 분류 오차 기법을 이용한 감정 인식 방법은 화자의 감정 인식에 있어서 가우시안 혼합 모델을 사용하여 중립 감정을 분류하고, 감정 인식 특징 벡터에 대한 분류 오류의 손실 함수 값을 최소화하는 변별적 가중치가 적용된 가우시안 혼합 모델을 사용하여 상기 중립 감정 외의 기타 감정을 분류한다. 감정 인식에 있어서 구분이 어려운 중립 감정 외의 감정들의 특징 벡터에 대하여 최소 분류 오차 기법에 의하여 구해진 변별적 가중치를 적용하여 감정 인식을 수행함으로써, 감정 인식의 성능을 향상시킬 수 있다.
감정 인식, 최소 분류 오차 기법, 가우시안 혼합 모델-
公开(公告)号：KR100901191B1
公开(公告)日：2009-06-04
申请号：KR1020070045691
申请日：2007-05-10
Abstract: 본 발명은 음성신호 기반의 성별인식 방법 및 장치에 관한 것이다. 본 발명에 따른 성별인식 방법에서는, 음성신호를 구성하는 유성음과 무성음 성분 중에서 성별에 따라 뚜렷한 변화를 가지지 않는 무성음 성분을 제거한 특징벡터를 추출하고, 상기 무성음 성분을 제거한 특징벡터를 미리 생성한 가우시안 혼합 모델(GMM Gaussian Mixture Model)과 비교함으로써 성별인식의 정확성을 높일 수 있다. 또한, 유성음에 적용되는 성대 떨림의 주기인 피치(pitch) 또는 포먼트 스펙트럼(formant spectrum)을 이용하여 성별을 인식할 경우, 본 발명에 따라 무성음을 제거한 음성신호를 기반으로 함으로써 상기 피치 또는 평균 성대 길이를 이용시 더욱 정확한 성별인식이 가능하다.
성별인식, 성대, 피치 유성음, 무성음, 특징벡터-
Patent Agency Ranking
公开(公告)号：KR100893154B1
公开(公告)日：2009-04-16
申请号：KR1020080100278
申请日：2008-10-13
IPC: G10L15/02
Abstract: A method for recognizing the sex of a voice signal and an apparatus therefor are provided to recognize the sex by differently applying the weighted values which are produced by using the distinctive weight learning according to each degree of an MFCC feature vector, thereby improving the sex recognition performance. A voice signal is inputted(S501). From the inputted voice signal, an MFCC feature vector is extracted(S502). According to each degree of the extracted MFCC feature vector, distinctive weighted values are given(S503). The sex of the inputted signal is recognized by a decision formula to which the distinctive weighted values given according to each of the degrees are applied. Particularly, the sex is distinguished through a value, obtained by multiplying the weighted values with each degree of MFCC feature vector, and a kernel function.
Abstract translation: 提供了一种用于识别语音信号的性别的方法及其装置，以通过不同地应用通过使用根据MFCC特征向量的各个度的独特权重学习产生的加权值来识别性别，由此改善性别识别 性能。 输入语音信号（S501）。 从输入的语音信号中，提取MFCC特征向量（S502）。 根据提取的MFCC特征向量的每个程度，给出特征加权值（S503）。 通过应用根据每个度数给出的特征加权值的判定公式来识别输入信号的性别。 特别地，通过将加权值与MFCC特征向量的各个度乘以获得的值和核函数来区分性别。
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公开(公告)号：KR100839065B1
公开(公告)日：2008-06-19
申请号：KR1020070076351
申请日：2007-07-30
Abstract: A voice detector and a voice detection method are provided to apply an optimized weight derived from a minimum classification error scheme to each frequency band likelihood ratio and calculate the geometric average value of the each frequency band likelihood ratio, thereby improving voice detection performance and detecting a voice signal efficiently even in environment with heavy noise. A voice detector comprises an input unit(10) and an analysis unit(20). The input unit receives a signal including a voice signal and performs the DFT(Discrete Fourier Transform) conversion of the received signal. The analysis unit comprises a likelihood ratio calculating module(21), a weight applying module(22), and a voice detecting module(23). The likelihood ratio calculating module calculates a likelihood ratio by frequency band of the converted signal. The weight applying module multiplies the likelihood ratio by frequency band by different weights to calculate the likelihood ratio to which the weight is applied. The voice detecting module compares a geometric average value of the calculated likelihood ratios with a preset value to measure whether the converted signal includes the voice signal. Further, the weight applying module calculates weight in frequency band by an MCE(minimum classification error) method.
Abstract translation: 提供语音检测器和语音检测方法，对每个频带似然比应用从最小分类误差方案导出的优化权重，并计算每个频带似然比的几何平均值，从而提高语音检测性能并检测 即使在环境噪音较大的情况下也能有效地发出语音信号。 语音检测器包括输入单元（10）和分析单元（20）。 输入单元接收包括语音信号的信号，并执行接收信号的DFT（离散傅里叶变换）转换。 分析单元包括似然比计算模块（21），加权应用模块（22）和语音检测模块（23）。 似然比计算模块根据转换后的信号的频带计算似然比。 权重应用模块将似然比乘以频带不同的权重，以计算应用权重的似然比。 语音检测模块将计算出的似然比的几何平均值与预设值进行比较，以测量转换的信号是否包括语音信号。 此外，权重施加模块通过MCE（最小分类误差）方法计算频带的权重。
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公开(公告)号：KR1020080099740A
公开(公告)日：2008-11-13
申请号：KR1020070045691
申请日：2007-05-10
Abstract: A gender recognizing method based on a audio signal and an apparatus thereof are provided to extract a feature vector in which a voiceless sound is removed and compare the feature vector with a Gaussian mixture model and a voiced sound, thereby increasing accuracy of recognizing gender. A Gaussian mixture model in which a voiceless sound is removed with regard to a plurality of audio signals is generated(S100). An audio signal of a speaker is received(S200). A feature vector in which a voiceless sound is removed with regard to the audio signal is extracted(S300). The gender of the audio signal is determined by comparing the extracted feature vector with the Gaussian mixture model.
Abstract translation: 提供一种基于音频信号的性别识别方法及其装置，以提取其中除去无声音的特征向量，并将特征向量与高斯混合模型和浊音进行比较，从而提高识别性别的准确性。 产生其中关于多个音频信号去除无声音的高斯混合模型（S100）。 接收扬声器的音频信号（S200）。 提取其中关于音频信号去除无声音的特征向量（S300）。 通过将提取的特征向量与高斯混合模型进行比较来确定音频信号的性别。
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公开(公告)号：KR101799874B1
公开(公告)日：2017-12-21
申请号：KR1020160020348
申请日：2016-02-22
Applicant: 한국과학기술연구원 , (주)트리포스 , 주식회사 와이즈넛 , 세종대학교산학협력단 , (주)파워보이스 , 한양대학교 산학협력단
Abstract: 음성/음향분석기반상황판단시스템및 방법이개시된다. 발화자의음성및 주변음향을송신하는발화자이동단말; 상기발화자이동단말로부터발화자의음성및 주변음향을수신하는통화수신모듈과, 상기통화수신모듈에서수신된음성및 주변음향을분석하여상기발화자의연령정보를추론하는연령정보추론모듈과, 상기통화수신모듈에서수신된음성및 주변음향을분석하여상기발화자의성별을추론하는성별정보추론모듈과, 상기통화수신모듈에서수신된음성및 주변음향을분석하여상기발화자의심리상태를추론하는심리상태추론모듈과, 상기통화수신모듈에서수신된음성및 주변음향을분석하여상기발화자의진실/거짓을추론하는진실/거짓추론모듈을포함하는상황판단서버; 상기연령정보추론모듈에서추론된연령정보, 상기성별정보추론모듈에서추론된성별정보, 상기심리상태추론모듈에서추론된심리상태및 상기진실/거짓추론모듈에서추론된진실/거짓을실시간디스플레이하는사용자단말을구성한다.
Abstract translation: 公开了基于语音/声音分析的情况确定系统和方法。 扬声器终端，用于传输扬声器的声音和周围的声音; 年龄信息推断模块，用于通过分析从呼叫接收模块接收的语音和环境声音来推断说话者的年龄信息; 通过分析，对推理的健谈，声音和呼叫接收模块接收到的环境声音的性别推断说话人的心理状态分析和性别推理模块的模块心理状态推理模块接收到的语音与环境声音 以及真假推断模块，用于通过分析从呼叫接收模块接收的语音和环境声音来推断说话者的真/假。 用户实时显示在信息时代的真/假推理，推理从模块获得的信息时代，性别推断从模块获得的性别信息，头脑推理从心灵的模块状态和真/假推理模块推断状态 并形成一个终端。
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公开(公告)号：KR1020170098445A
公开(公告)日：2017-08-30
申请号：KR1020160020350
申请日：2016-02-22
Applicant: 한국과학기술연구원 , (주)트리포스 , 한양대학교 산학협력단
Abstract: 음성/음향분석기반상황판단장치가개시된다. 발화자이동단말로부터발화자의음성및 주변음향을수신하는통화수신모듈; 상기통화수신모듈에서수신된음성및 주변음향을분석하여상기발화자의연령정보를추론하는연령정보추론모듈; 상기통화수신모듈에서수신된음성및 주변음향을분석하여상기발화자의성별을추론하는성별정보추론모듈; 상기통화수신모듈에서수신된음성및 주변음향을분석하여상기발화자의심리상태를추론하는심리상태추론모듈; 상기통화수신모듈에서수신된음성및 주변음향을분석하여상기발화자의진실/거짓을추론하는진실/거짓추론모듈을구성한다. 상술한음성/음향분석기반상황판단장치에의하면, 발화자의음성및 주변음향으로부터발화자의연령, 성별, 심리상태, 진실/거짓그리고주변상황까지추론하도록구성됨으로써, 짧은시간안에허위신고를신속하고정확하게판단하며사고신고에따른정확한상황을판단하도록하는효과가있다.
Abstract translation: 公开了基于语音/声音分析的情况确定装置。 呼叫接收模块，用于从发言方移动终端接收发言方的语音和环境声音; 年龄信息推理模块进行分析，推断出声音的说话者，并通过呼叫接收模块接收到的环境声音的年龄信息; 性别信息推理分析模块推导出的声音，并通过呼叫接收模块接收的环境声音的讲话者的性别; 用于分析的心理状态推断模块推导出的声音，并通过呼叫接收模块接收的环境声音的讲话者的心理状态; 它分析由呼叫接收模块接收到的语音和环境声音构成了真/假推理模块，用于推理的事实/假讲话者的。 根据基于状态判别部对上述语音/声音分析，正在从言论和讲话者的环境声音构成按年龄，性别，心，真/假的状态，发言者的情况，并在很短的时间一个错误的报告推断，快速，准确地 根据事故报告判断确切情况是有效的。
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