检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

2,046 篇 会议
407 篇 期刊文献
4 篇 学位论文
1 册 图书

馆藏范围

2,458 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

602 篇 工学
- 443 篇 电气工程
- 131 篇 计算机科学与技术...
- 108 篇 信息与通信工程
- 79 篇 电子科学与技术（可...
- 24 篇 软件工程
- 23 篇 生物医学工程（可授...
- 21 篇 控制科学与工程
- 19 篇 仪器科学与技术
- 7 篇 机械工程
- 7 篇 船舶与海洋工程
- 5 篇 材料科学与工程（可...
- 4 篇 交通运输工程
- 3 篇 力学（可授工学、理...
- 3 篇 测绘科学与技术
- 3 篇 石油与天然气工程
- 3 篇 网络空间安全
- 2 篇 光学工程
235 篇 理学
- 204 篇 物理学
- 16 篇 系统科学
- 14 篇 生物学
- 4 篇 数学
- 3 篇 化学
- 2 篇 地球物理学
- 2 篇 统计学（可授理学、...
52 篇 医学
- 43 篇 临床医学
- 10 篇 特种医学
- 5 篇 基础医学(可授医学...
14 篇 管理学
- 14 篇 管理科学与工程(可...
10 篇 文学
- 5 篇 外国语言文学
- 2 篇 新闻传播学
3 篇 农学
3 篇 军事学
2 篇 教育学
2 篇 艺术学
1 篇 法学

主题

2,458 篇 linear predictiv...
771 篇 speech coding
701 篇 speech analysis
545 篇 speech synthesis
409 篇 bit rate
402 篇 speech recogniti...
347 篇 speech processin...
323 篇 filters
278 篇 frequency
267 篇 testing
252 篇 vocoders
238 篇 vector quantizat...
236 篇 speech enhanceme...
224 篇 quantization
213 篇 predictive model...
201 篇 signal processin...
182 篇 speech
182 篇 cepstral analysi...
179 篇 signal synthesis
177 篇 signal analysis

机构

32 篇 school of electr...
23 篇 at and t bell la...
22 篇 bolt beranek and...
19 篇 bell laboratorie...
11 篇 at and t bell la...
10 篇 naval research l...
10 篇 department of el...
10 篇 ntt human interf...
10 篇 lpcs enserg gren...
9 篇 lpcs-enserg gren...
8 篇 centre for commu...
8 篇 signal technolog...
8 篇 department of el...
8 篇 cselt torino
8 篇 acoustics resear...
7 篇 electrical engin...
7 篇 acoustics resear...
7 篇 comsat laborator...
7 篇 central research...
7 篇 inrs-télécommuni...

作者

19 篇 s. cristoloveanu
18 篇 l. rabiner
14 篇 a.m. kondoz
14 篇 j. makhoul
13 篇 t. barnwell
13 篇 p. mermelstein
12 篇 t. moriya
12 篇 b. atal
12 篇 a. gersho
12 篇 p. hedelin
11 篇 g. ghibaudo
11 篇 gray rm
10 篇 a. rosenberg
10 篇 rabiner lr
10 篇 k. ozawa
9 篇 t.p. barnwell
9 篇 p. kabal
9 篇 a. mccree
9 篇 b.g. evans
8 篇 v. viswanathan

语言

2,284 篇 英文
167 篇 其他
4 篇 中文
3 篇 土耳其文

检索条件"主题词=linear predictive coding"

共 2458 条记录，以下是2421-2430 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Speaker-independent vowel classification using hidden Markov models and LVQ2

Speaker-independent vowel classification using hidden Markov...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： D.G. Kimber M.A. Bush G.N. Tajchman Xerox Palo Alto Research Center Palo Alto CA USA

A set of experiments in which the LVQ2 (learning vector quantization) algorithm of T. Kohonen et al (Proc. 1988 IEE Int. Conf. on Neural Networks, p.I-61-68, 1988) is used to generate vector codebooks for a discrete-observation hidden Markov model (HMM) classifier is described. Input feature vectors consist of single-frame linear predictive coding (LPC)-based cepstra and/or differenced cepstra. Classification accuracies using conventional k-means, class-specific k-means, and LVQ2 codebooks are compared for a 16-way speaker-independent vowel classification task. In contrast to speaker-dependent phonetic classification results previously published, no significant performance advantages are observed with LVQ2. These conflicting results are discussed relative to differences in the recognition tasks and the feature sets used. It is also argued that the single-observation Bayesian decision boundaries approximated by LVQ2 are nonoptimal for HMM-based classification involving multiple observations.< >

关键词： Hidden Markov models Vector quantization Neural networks linear predictive coding Speech recognition Bayesian methods

来源：评论

学校读者我要写书评

暂无评论

A new BSP excitation signal for linear prediction-based speech codecs

A new BSP excitation signal for linear prediction-based spee...

引用

International Conference on Signal Processing Proceedings (ICSP)

作者： Deng Lixin Yang Zhen Zheng Baoyu Information Engineering Department Nanjing University of Posts and Telecommunications China

We present in this paper a new binomial sine pulse (BSP) excitation signal used in linear prediction-based speech codecs. The structure of the BSP excitation signal is actually a sine wave whose amplitude is modulated by a binomial signal. The binomial signal describes the various trends of excitation signals in a pitch period, and the pulsatance of the BSP excitation signal coincides with the vibration frequency of vocal folds. In experiments, processing is going on frame by frame and the same excitation signal is placed at every pitch excitation moment in a frame. Speech codecs based on this new BSP excitation have the advantages of low complexity and low delay. Experiment results prove that such a new speech codec can provide highly intelligible synthesized speech below 3 kbps.

关键词： Speech codecs Speech synthesis Speech coding Signal synthesis Signal processing Bit rate Shape linear predictive coding Filters Telecommunications

来源：评论

学校读者我要写书评

暂无评论

Wavelet based feature extraction for phoneme recognition

Wavelet based feature extraction for phoneme recognition

引用

International Conference on Spoken Language, ICSLP

作者： C.J. Long S. Datta Department of Electronic and Electrical Engineering Loughborough University of Technology Loughborough UK

In an effort to provide a more efficient representation of the acoustical speech signal in the pre classification stage of a speech recognition system, we consider the application of the Best-Basis Algorithm of R.R. Coifman and M.L. Wickerhauser (1992). This combines the advantages of using a smooth, compactly supported wavelet basis with an adaptive time scale analysis, dependent on the problem at hand. We start by briefly reviewing areas within speech recognition where the wavelet transform has been applied with some success. Examples include pitch detection, formant tracking, phoneme classification. Finally, our wavelet based feature extraction system is described and its performance on a simple phonetic classification problem given.

关键词： Feature extraction Multiresolution analysis Continuous wavelet transforms Discrete wavelet transforms Speech recognition Wavelet analysis Wavelet transforms Time frequency analysis Signal analysis linear predictive coding

来源：评论

学校读者我要写书评

暂无评论

The application of a functional perceptual model of speech to variable-rate LPC systems

The application of a functional perceptual model of speech t...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： R. Viswanathan J. Makhoul R. Wicke Bolt Beranek and Newman 슠Inc. Cambridge MA USA

来源：评论

学校读者我要写书评

暂无评论

A two pass classifier for utterance rejection in keyword spotting

A two pass classifier for utterance rejection in keyword spo...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： R.A. Sukkar J.G. Wilpon AT and T Bell Laboratories Inc. Naperville IL USA

A classifier for utterance rejection in a hidden Markov model (HMM) based speech recognizer is presented. This classifier, termed the two-pass classifier, is a postprocessor to the HMM recognizer, and consists of a two-stage discriminant analysis. The first stage employs the generalized probabilistic descent (GPD) discriminative training framework, while the second stage performs linear discrimination combining the output of the first stage with HMM likelihood scores. In this fashion the classification power of the HMM is combined with that of the GPD stage which is specifically designed for keyword/nonkeyword classification. Experimental results show that, on two separate databases, the two-pass classifier significantly outperforms a single-pass classifier based solely on the HMM likelihood scores.< >

关键词： Hidden Markov models Cepstral analysis Monitoring Automatic speech recognition Isolation technology Speech recognition Databases Telephony Robustness linear predictive coding

来源：评论

学校读者我要写书评

暂无评论

Voice over IP with JVOIPLIB and JRTPLIB

Voice over IP with JVOIPLIB and JRTPLIB

引用

Conference on Local Computer Networks (LCN)

作者： J. Liesenborgs W. Lamotte F. Van Reeth Expertisecentrum Digitale Media Limburgs Universitair Centrum Diepenbeek Belgium

ISBN: (纸本)0769513212

Voice over IP (VoIP) can be used in a wide variety of applications, all having different requirements. We present JVOIPLIB and JRTPLIB, a VoIP library and an RTP library respectively. Together they make it possible to easily add VoIP to various types of applications. Both libraries are written in an object-oriented style in C++, are open-source and are both very extensible. Several measures have been taken to allow good synchronization between the communicating parties.

关键词： Internet telephony Virtual environment Delay linear predictive coding Software libraries Open source software Speech processing Signal processing Jitter Degradation

来源：评论

学校读者我要写书评

暂无评论

Classification Using the Local Probabilistic Centers of k-Nearest Neighbors

Classification Using the Local Probabilistic Centers of k-Ne...

引用

International Conference on Pattern Recognition

作者： Bo Yu Li Yun Wen Chen Department of Computer Science and Engineering Fudan University Shanghai China

ISBN: (纸本)0769525210

In high dimensional feature space with finite samples, severe bias can be introduced in the nearest neighbor algorithm. In this paper, we propose a new classification method, which performs classification task based on local probability center of each class. Moreover, this prototype-based method classifies the query sample by using two measures, one is the distance between query and local probability centers, the other is the posterior probability of query. Although both measures are effect, the experiments show the second one is the better. The investigation results prove that this method improves the classification performance of nearest neighbor algorithm substantially

关键词： Nearest neighbor searches Neural networks Support vector machines linear predictive coding Prototypes Computational efficiency Computer science Pattern classification Training data Support vector machine classification

来源：评论

学校读者我要写书评

暂无评论

F0 estimation of noisy speech based on complex speech analysis

F0 estimation of noisy speech based on complex speech analys...

引用

IEEE Digital Signal Processing Workshop

作者： Tatsuhiko Kinjo Keiichi Funaki Graduate School of Science and Engineering University of Ryukyus Okinawa Japan Computing & Networking Center University of Ryukyus Okinawa Japan

ISBN: (纸本)1424405343

This paper proposes a novel robust fundamental frequency (F0) estimation algorithm based on complex-valued speech analysis for an analytic speech signal. Since analytic signal provides spectra only over positive frequencies, spectra can be accurately estimated in low frequencies. Consequently, it is considered that F0 estimation using the residual signal extracted by complex-valued speech analysis can perform better for F0 estimation than that for the residual signal extracted by conventional real-valued LPC analysis. In this paper, the autocorrelation function weighted by AMDF is adopted for the F0 estimation criterion and four signals; speech signal, analytic speech signal, LPC residual and complex LPC residual, are evaluated for the F0 estimation. Speech signals used in the experiments were corrupted by adding white Gaussian noise whose noise levels are 10, 5, 0, -5 [dB]. The experimental results demonstrate that the proposed algorithm based on complex speech analysis can perform better than other methods in an extremely noisy environment

关键词： Speech analysis Frequency estimation Signal analysis linear predictive coding Low-frequency noise Robustness Algorithm design and analysis Performance analysis Autocorrelation Speech enhancement

来源：评论

学校读者我要写书评

暂无评论

Comparisons of maximum system lifetime in diverse scenarios for body sensor networks

Comparisons of maximum system lifetime in diverse scenarios ...

引用

International Conference on Computer and Information Technology (ICCIT)

作者： Nazrul Islam Mondal Shahid Uz Zaman Abdullah Al Masud Jahangir Alam Department of Computer Science & Engineering Rajshahi University of Engineering & Technology Bangladesh Department of Electronic and Telecommunication International Islamic University Chittagong Bangladesh Department of Computer Science & Engineering Rajshahi University of Engineering and Technology Bangladesh Department of Electronic and Telecommunication International Islamic University Chittagong Bangladesh

In this paper, the main target is to compare the system lifetimes in diverse scenarios based on our new energy dissipation model in the body sensor network as well as maximize the system lifetime of sensor nodes when they will make communication among body sensors and personal communication unit. Nowadays, the ultra low energy consumption is the very much important challenge for medical applications. The best compression technique like LPC is selected for energy saving based on some calculations. This research work studies and analyzes the transceiver energy consumption for different compression algorithms and select the best technique like LPC for energy saving. Formulation of a linear programming problem is also the important part of this research work, where is to maximize the system lifetime which is equivalent to the time until the first node runs out of battery. Maximum system lifetimes are calculated by MATLAB optimization technique using and without using efficient compression algorithm like LPC in various environments. Results show that maximum system lifetimes calculated in different scenarios using efficient compression technique like LPC is better than without using compression technique.

关键词： Body sensor networks linear predictive coding Sensor systems Energy consumption Compression algorithms Energy dissipation Mathematical model Medical services Biomedical equipment Algorithm design and analysis

来源：评论

学校读者我要写书评

暂无评论

Backward adaptive prediction: high-order predictors and formant-pitch configurations

Backward adaptive prediction: high-order predictors and form...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： M. Foodeei P. Kabal Electrical Engineering McGill University Montreal QUE Canada INRS-Télécommunications Université du Quàbec Verdun QUE Canada

An analysis and simulation results are presented comparing the performance of several types of high-order backward adaptive predictors with orders up to 100. Issues in high-order linear predictive coding (LPC) analysis, such as analysis methods, windowing, ill-conditioning, quantization noise effects, and computational complexity, are studied. The performance of the various analysis methods is compared with the conventional sequential formant-pitch predictor. The auto-correlation method (50th order) shows performance advantages over the sequential formant-pitch configurations. Several new backward high-order methods using covariance analysis and a lattice formulation show much better prediction gains than the auto-correlation method.< >

关键词： Redundancy Speech Performance analysis Quantization Adaptive filters Shape control Computational modeling Analytical models predictive models linear predictive coding

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共246页 << < 237 238 239 240 241 242 243 244 245 246 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：