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- The thesis presents and implements a novel module-based Speaker recOgnitioN softwAre platfoRm (SONAR). 本论文提出并实现了一种新型的基于组件的说话人识别软件平台(Speaker recOgnitioN softwAre platfoRm: SONAR)。
- VQ(Vector Quantization) technique is widely used in text-dependent and text-independent speaker recognition systems. 矢量量化(VQ)技术在话者识别系统中得到了广泛的应用。
- It is mainly about a text-dependent speaker recognition system based on vector quantification (VQ) methods. 摘要利用矢量量化(VQ)持术实现了与文本有关的说话人识别。
- A separability research of prosodic parameters in speaker recognition is studied. 对音高特征在说话人识别中的可分性问题进行了分析和实验研究。
- Zhen B,Wu X H,Liu Z M.On the Use of Bandpass Liftering in Speaker Recognition[J]//Proceedings of ICSLP,Beijing,2000. 马志友;杨莹春;吴朝晖.;二次特征提取及其在说话人识别中的应用[J]
- A new approach of speaker recognition which combined the advantages of VQ and GMM is presented. 摘要提出了一种新的说话人识别方法。
- Expansion of curriculum, including a speaker recognition of specific methods, the one very good book. 扩展教程;包含了说话人识别的具体方法介绍;很好的一本书.
- The speaker recognition is an important part of speech signal processing.It is one of the current research hotspots. 摘要说话人识别是语音信号处理中的重要组成部分，是当前的研究热点之一。
- This paper seeks to develop an Automatic Speaker Recognition (ASR) system, while this thesis concerns text-independent speaker recognition technology only. 摘要主要对文本无关的说话人识别技术进行一些探讨。
- Due to its special merits of flexibility, economy and accuracy, speaker recognition technology has a broad application future in biometrics security field. 说话人识别技术因其独特的方便性、经济性和准确性,在生物特征识别领域中具有广阔的应用前景。
- The time sequence modeling ability of HMM and classifying ability of WNN were applied in the speaker recognition system independent from the text. 该方法利用HMM的时序建模能力以及小波神经网络较强的模式分类能力;进行与文本无关的说话人的识别.
- This paper proposed a MFCC feature extraction method based on pitch period to improve the performance of speaker recognition. 摘要提出了一种可用于改善说话人识别效果的基于基音周期的可变窗长语音MFCC参数提取方法。
- Speaker recognition, one of biometric identification technology, aims to identify the ID of the speaker by his/her utterance. 说话人识别是一种生物特征识别技术,它是指机器通过说话人的语音自动识别出说话人的身份。
- The paper combined the speaker feature extracted by ICA with VQ technique to the ICA-VQ speaker recognition system with high performance. 摘要使用独立分量分析(ICA)来提取说话人特征并与矢量量化(VQ)判决方法相结合，实现了一个高性能的基于ICA特征的VQ(ICA-VQ)说话人识别系统。
- Speaker Recognition is one of current researching hotspots of speech signal processing, which has many advantaged superiority at identity authentication field. 说话人识别是当前语音信号处理的研究热点之一,它应用在身份认证领域具有得天独厚的优势。
- Vector Quantization theory has been successfully used in speech coding, speech synthesis, speech recognition and speaker recognition as a non-parameter recognition method. 矢量量化技术作为一种非参数的模式识别方法,已经成功应用于语音编码、语音合成、语音识别和说话人识别方面。
- Vector quantization(VQ),without regard to the difficult speech segment and the complex time warping,becomes a useful method for text-independent speaker recognition. 基于矢量量化的说话人识别,因其运算过程简单等特点,在说话人识别领域有着广泛的应用。
- Speaker Recognition has many advantages in identity verification.In this paper, a text-dependent speaker recognition system is set up based on Vector Quantization (VQ). 摘要说话人识别对于各类机要场所、安防领域的身份认证具有得天独厚的优势。
- Using these characters, we have palmmprint recongnition, fingerprint recongnition, face recongnition, speaker recognition, iris recongnition, idiograph recongnition and so on. 基于这些特征，人们已经发展了手形识别、指纹识别、面像识别、说话人识别、虹膜识别、签名识别等多种生物识别技术。
- The substance of this magisterial thesis is the research and improvement of speaker recognition which is based on the VQ (Vector Quantization) and HMM (Hidden Markov Model). 本论文主要内容是基于矢量量化(VQ) 和隐马尔可夫模型（HMM）的说话人识别算法的研究和改进。
