Search - speaker recognition

Search - speaker recognition - List

[Other] SpeechRecognitionTextIndependentDSPbyQHLee DL : 0: 文本无关的说话人辨认系统的DSP实时实现比较经典的研究生毕业论文-text-independent speaker recognition system to achieve real-time DSP classic comparison postgraduate thesis
Date : 2025-12-23 Size : 3.63mb User : QHLee
[Other] speaker_recognition DL : 0: 语音识别的电子书籍，希望和相关专业的朋友能够分享-Speech Recognition e-books, hope and the relevant professional friends to share
Date : 2025-12-23 Size : 1.06mb User : yangshuai
[Other] gmm DL : 0: 台湾张智星关于GMM的文档，很详细，做图像识别或说话人识别的对GMM有兴趣的话可以看一下-Zhang Zhi Star Taiwan GMM about the documents, in great detail, to do image recognition or speaker recognition of GMM are interested can look at
Date : 2025-12-23 Size : 191kb User : 董飞
[Other] matlab_book DL : 0: 关于说话人识别的硕士论文，希望能对大家有用-Speaker Recognition on the master' s thesis, I hope useful
Date : 2025-12-23 Size : 1.76mb User : 常浏凯
[Other] Onemethodofabstractingcharacters DL : 0: 介绍了一种非常实用的特征提取新方法，针对稀疏核主成分分析方法在特征提取中的不足, 提出了一种基于核K- 均值聚类的稀疏核主成分分析( Sparse KPCA) 的特征提取方法用于说话人识别。-Introduced a very useful new method of feature extraction for Sparse Kernel Principal Component Analysis in Feature Extraction of the lack of a kernel-based K-means clustering of sparse kernel principal component analysis (Sparse KPCA) of the feature extraction methods for speaker recognition.
Date : 2025-12-23 Size : 120kb User : 毋桂萍
[Other] 20090918 DL : 0: 在实时平台上,高斯混合模型(GMM)具有计算有效性和易于实现的优点。最大似然规则中,模型参数不断更新,但由于爬山特征,任意的原始模型参数估计通常将导致局部最优遗传算法(GA)适于求解复杂组合优化问题及非线性函数优化。提出了基于说话人识别的可以解决GMM局部最优问题的GMM/GA新算法,实验结果表明, 提出的GMM/GA新算法比纯粹的GMM算法能获得更优的效果。 - In real-time platform, the Gaussian mixture model (GMM) with the calculation of the effectiveness and easy to realize benefits. Maximum likelihood rule, the model parameters are not Broken updates, but due to climbing features, any of the original model parameter estimation will usually result in local optimum genetic algorithm (GA) is suitable for solving complex combinatorial optimization question Title and non-linear function optimization. Proposed speaker recognition based on GMM can solve the problem of local optimal GMM/GA new algorithm, experimental results show that the Proposed GMM/GA new algorithm than purely GMM algorithm can get better results.
Date : 2025-12-23 Size : 4.24mb User : 于高
[Other] odyssey2001EzzaidiRouat DL : 0: Combining pitch and MFCC for speaker recognition systems
Date : 2025-12-23 Size : 90kb User : Rushabh sanghavi
[Other] SpeechRecognitionPapers DL : 0: 4篇介绍隐马尔可夫模型、ARMA倒谱、基于矢量量化改进算法的说话人识别、与文本无关的说话人识别研究的论文，对需要的还是有帮助的-4 introduced the hidden Markov model, ARMA cepstrum, based on vector quantization algorithm for speaker recognition improved, and text-independent speaker recognition research papers, or in need of help
Date : 2025-12-23 Size : 1.77mb User : lanyuna
[Other] 11111 DL : 0: 语音信号数字处理是一门涉及面很广的交叉科学，这本书介绍了语音信号的数字表示，矢量量化，隐马尔科夫模型，语音合成，语音识别，语音增强，说话人识别等知识-Speech signal digital processing is a wide-ranging cross-science, this book describes a digital representation of the speech signal, vector quantization, hidden Markov models, speech synthesis, speech recognition, speech enhancement, speaker recognition of such knowledge
Date : 2025-12-23 Size : 22.44mb User : 张玉
[Other] goodone DL : 0: speaker recognition using matlab
Date : 2025-12-23 Size : 571kb User : vishwajeet
[Other] Hybrid-VQ---GMM-Code-Separated-Text-Independent-S DL : 0: This article present a new scheme to speaker recognition using Hybrid VQ/G-This article present a new scheme to speaker recognition using Hybrid VQ/GMM
Date : 2025-12-23 Size : 441kb User : Ngo Huy
[Other] speech-signal-processing--by-ZhaoLi DL : 0: 语音信号处理__赵力。共分十二章，内容包括：绪论、语音信号处理的基础知识、语音信号的分析技术、语音信号的矢量量化、隐马尔可夫模型技术、神经网络在语音信号处理中的应用、语音编码、语音合成、语音识别、说话人识别和语种辨识技术、语音信号的情感信息处理技术、语音增强技术-Voice signal processing __ Zhao. Divided into 12 chapters, including: the introduction, the basics of voice signal processing, speech signal analysis techniques, the speech signal vector quantization and hidden Markov model, neural network applications in speech signal processing, speech coding, speech synthesis, speech recognition, speaker recognition and language identification technology, the voice signal emotional information processing technology, speech enhancement technology
Date : 2025-12-23 Size : 9.51mb User : luocw138
[Other] hmm-pdfs DL : 0: SPEAKER RECOGNITION H-SPEAKER RECOGNITION HMM
Date : 2025-12-23 Size : 2.6mb User : tarik hadj ali
[Other] projet-SPEAKER-RECOGNITION- DL : 0: PROJET SPEAKER RECOGNITION
Date : 2025-12-23 Size : 5.1mb User : tarik hadj ali
[Other] paper-in-speaker-recognition DL : 0: Automatic speaker-identification (SID) has long been an important research topic. It is aimed at identifying who among a set of enrolled persons spoke a given utterance. This study extends the conventional SID problem to examining if an SID system trained using speech data can identify the singing voices of the enrolled persons. Our experiment found that a standard SID system fails to identify most singing data, due to the significant differences between singing and speaking for a majority of people. In order for an SID system to handle both speech and singing data, we examine the feasibility of using model-adaptation strategy to enhance the generalization of a standard SID. Our experiments show that a majority of the singing clips can be correctly identified after adapting speech-derived voice models
Date : 2025-12-23 Size : 1.49mb User : nagwa
[Other] Wiley.Automatic.Speech.And.Speaker.Recognition.Ma DL : 0: A beginner s Guide to Speech Recognition. I learnt Speech Recognition Theory from this Book. Hope it helps other new comers to the field t-A beginner s Guide to Speech Recognition. I learnt Speech Recognition Theory from this Book. Hope it helps other new comers to the field too
Date : 2025-12-23 Size : 2.14mb User : xiaomingw
[Other] [Homayoon_Beigi]_Fundamentals_of_Speaker_Recognit DL : 0: this book is very helpful for speech processing specially speaker recognition
Date : 2025-12-23 Size : 14.73mb User : assouma
[Other] GMM-UBM DL : 0: 介绍UBM模型MAP算法过程，对于说话人识别有帮助-UBM model describes the process of MAP algorithm for speaker recognition helpful
Date : 2025-12-23 Size : 163kb User : 李丽