Speech variability in automatic speaker recognition systems for commercial and forensic purposes

Speaker recognition is a major task when security applications through speech input are needed. Nevertheless, speech variability is a main degradation factor in speaker recognition tasks. Both intra-speaker and external variability sources produce mismatch between training and testing phases. In this contribution, channel and inter-session variability are explored in order to accomplish real automatic systems for both commercial and forensic speaker recognition. Results are presented making use of "AHUMADA", a subset of "GAUDI" large speaker recognition-oriented database in Spanish.     

Speaker Recognition The A TVS-UAM System at NIST SRE 05

Automatic speaker recognition systems have been largely dominated by acoustic-spectral-based systems, relying in proper modelling of the short-term vocal tract of speakers. However, there is scientific and intuitive evidence that speaker-specific information is embedded in the speech signal in multiple short- and long-term characteristics. In this work, a multilevel speaker recognition system combining acoustic, phonotactic, and prosodic subsystems is presented and assessed by blind submission to NIST 2005 Speaker Recognition Evaluation     

基于语音的奥运信息智能查询系统

提出了一个基于语音交互的奥运信息查询系统。该系统综合应用语音识别、智能人机交互等先进技术,实现了通过语音对历届奥运会的相关信息的查询。在语音识别和问句理解方面,将统计方法与规则方法相结合,利用领域相关知识和受限语言文法,显著地提高了语音识别和问句理解的正确率。实验结果表明,提出和采用的各种技术方法是有效的。     

Achieving a hands-free computer interface using voice recognitionand speech synthesis [for Windows-based ATE]

Software designers at Hill Air Force Base have developed a voice recognition and speech synthesis system (Voice Control) for use with the F-16 Analog Test Station Sustainment (FATSS) project. The Voice Control system is reliable, speaker independent, and has a total added hardware price tag of under $50.00 per station. In contrast to traditional voice recognition systems, operator training is not required. OO-ALC has developed a general-purpose internal interface (Voice Control) to the Speech Recognition and Text-To-Speech engines provided by Microsoft. Voice Control can be accessed by any 32-bit Windows software, which has windows messaging capability. This is available to standard programming languages such as LabWindows CVI, Borland or Microsoft C/C++, Visual Basic, or even commercial packages such as Lotus Notes and Microsoft Word. Through Voice Control, the computer uses both video and voice prompts to request input from the operator. The operator is allowed to enter data and to control the software flow by voice command or from the keyboard or mouse. The Voice Control system allows for dynamic specification of a grammar set, or legal set of commands. The use of a reduced grammar set greatly increases recognition accuracy. The computer voice enables the operator to focus his attention away from the computer screen, which is required for activities such as probing a circuit card and taking readings. When the operator takes readings, the computer, to insure reliable entry, echoes his voice entries. With electronic tuning, speech synthesis allows the operator to hear the resulting reading, enabling him to focus on the circuit card instead of constantly turning his head to see the computer screen. This paper describes the capability and functionality of the Voice Control system     

Smart card information and operations using biometrics

Nowadays many systems need a portable media to store some sensible data, such as smart cards. The information can be protected by the user with his Personal Identification Number (PIN), or through biometrics. Unfortunately, there is not a smart card today that can verify the biometric template inside it, performing this task in the terminal. The author has developed the algorithms and data structures needed to solve this problem. Therefore, he has created a smart card with user biometric authentication, based on an Open Platform smart card (in this case, a JavaCard). To achieve these results, different biometric techniques have been studied: speaker verification, hand geometry and iris recognition. Experimental results are given to show the viability of the prototype developed     

铁路道口报警及控制系统

为了保证道口行车安全,在无人监护道口设置闪光和语音报警及道口横杆控制系统,利用单片机和无线通信技术以实现列车接近道口时,道口报警闪光器和语音扬声器同时报警,并放下道口横杆;列车离开道口时,道口闪光器和语音扬声器同时关闭,并升起道口横杆。在分析和比较几种单片机和传感器的基础上,确定本系统采用MCS51系列低功耗单片机和磁电传感器。     

航空结构动力分析系统HAJIF-Ⅱ

HAJIF-Ⅱ是中国航空研究院领导研制的航空结构动力分析系统。它可以进行结构的固有动力特性计算,以及带主动控制系统的飞机颤振计算和突风响应计算。它具有31条固定流程、2600条FORTRAN语句。允许使用99个原级子结构,每个子结构的自由度数可达7000。颤振计算和突风响应计算中,可以使用50个形态。非定常空气动力计算的分块数可达300个。在刚度矩阵和质量矩阵的管理上,采用超元矩阵方法做“宏观处理”,并用有效列方法做“微观处理”,发展了新的同时迭代算法,以提高实特征值计算的效率。设计了比较完整的形态综合法计算程序,除固定界面法和自由界面法之外,还发展了分级综合和逐步综合的新方法。非定常空气动力计算方面,引入了用曲线拟合方法把谐振荡空气动力转入拉氏平面的技术。用本系统计算了一批典型的结构,取得了良好结果。     

翼伞系统动力学建模与仿真研究

以精确空投系统研究为背景,综合运用运动力学和空气动力学知识,建立了翼伞系统6自由度非线性动力学模型,该模型包括3自由度沿系统质心的平动和3自由度绕系统质心的转动.根据此模型分析了翼伞系统的整体运动特性(包括运动轨迹和姿态等),并进行了常值风场对翼伞系统飞行特性的影响研究,得出了翼伞系统在滑翔、转弯和雀降模态下的主要飞行参数,从而为翼伞系统飞行控制系统的设计提供了重要的理论依据.     

基于.NET的有线电视网上收费系统设计方法研究

随着有线电视用户的日益增多,有线电视台的业务量也日益膨胀,建设基于网络的客户服务模式已经成为必然趋势。该文对有线电视网上收费系统实现的关键技术进行了深入的分析,提出了一套基于.NET的分布式多层体系结构解决方案,该方案充分考虑了系统的健壮性、灵活性、可伸缩性,从而实现了系统在物理平台和逻辑平台上的跨越与提高。     

空管模拟机的IBM ViaVoice技术实现研究

阐述了空管模拟机自动机长席位的实现方法。通过对语音识别技术的研究,在引进IBMViaVoice语音识别系统的基础上,根据空管模拟机的功能需求,通过对其主控软件的改进,使语音识别技术与管制训练控制系统有机结合,实现了自动机长席位对非特定管制学员、连续管制指令语言的识别和仿真模拟雷达显示控制。     

飞行控制律对体自由度颤振特性影响试验

飞翼飞机易发生刚体短周期模态与机翼低阶弯曲模态耦合所致的体自由度颤振。飞行控制系统对飞机的短周期模态特性影响很大,因此考虑飞行控制系统的闭环体自由度颤振特性值得进一步研究。针对自主设计的颤振模型开发了相应的俯仰姿态保持控制律,综合运用风洞试验和仿真计算开展了相关研究,获得了不同刚体自由边界条件下的开环/闭环体自由度颤振特性,研究了闭环增益对体自由度颤振特性的影响规律,简要分析了影响机理。试验和仿真计算结果共同表明：俯仰姿态保持控制律明显地改变了俯仰模态阻尼的原有走势,闭环后的体自由度颤振特性变化明显。以开环颤振速度为基准,采用较小的比例回路增益K_P或较大的微分回路增益K_D,飞行控制律能增加飞行器俯仰阻尼,提高体自由度颤振速度,反之飞行控制律将导致颤振速度降低。就本文控制律而言,当K_P<0.07或K_D>0.2时俯仰姿态保持控制律能起到抑制体自由度颤振的作用。     

全机模型静强度分析的多区域并行计算

在Windows XP 64位操作系统环境下,利用若干普通PC机搭建了机群系统,实现了分布内存式并行（DMP）计算。采用3节点和4节点薄壳单元和2节点梁单元建立了约260万自由度（DOF）的全机有限元模型。采用封装的METIS区域分解方法（DDM）,并利用大型通用有限元软件MSC.Marc,实现了全机静强度模型的并行求解,为大型复杂有限元模型的求解提供了一种高性价比的解决方案。     

叶片失速颤振发作机理的探讨

 本文对于现有的叶片失速颤振计算模型进行了一些改进,以期使其更接近于真实物理图画。计算结果表明,就槽道激波以及物面气流分离对于叶片气动弹性稳定性所起的作用来看,在单自由度纯弯振荡和双自由度弯曲主导振荡两种情况之下是具有实质性差别的。在文中对于一个实际转子的失速颤振边界进行了数值预测,并与相应的实验结果进行了对比。     

非直线滑跑飞机的摆振与滑跑稳定性

在非惯性坐标系中建立了起落架支柱的动力学模型。与飞机地面运行的六自由度模型结合，可以考察非直线滑跑飞机的起落架摆振现象及飞机地面滑行的方向稳定性。以Ｋ８飞机为例，考察了非直线滑跑模型与传统的直线滑跑模型的摆振特点及飞机的滑跑稳定性。算例结果合理，表明模型可供有关研究参考。     

AFIT neural network research

A brief summary of research done at the Air Force Institute of Technology (AFIT) in the area of neural networks is provided. It has been shown that backpropagation, used for feedforward artificial neural networks, is just a degenerate version of an extended Kalman filter, and that networks can do about as well as the optimum statistical classification technique. A method of finding the importance of features for use by a neural network classifier has been determined. Techniques for using neural networks for image segmentation have been developed. In optical pattern recognition, techniques that allow the processing of real FLIR (forward-looking infrared) images with existing binary spatial light modulators have been devised. An optical direction of arrival detector applicable to laser illumination direction determination has been designed and tested; the design is similar to a fly's eye. Coated mirrors for the optical confocal Fabry-Perot interferometer have been designed, specified, fabricated, and installed. Significant progress has been made in the use of neural networks for processing multiple-feature sets for speech recognition     

机器人手术网络遥控系统中的语音识别

在广泛参考了国内外关于语音识别技术研究及其应用的优秀论文和著作后，简单介绍了语音识别技术及其算法。在熟悉了微软的语音开发工具包的基础上，汲取其中和本项目相关的部分，具体描述了完成机器人手术网络遥控系统中的语音识别部分的方法和实现的步骤。利用开发工具Microsoft VC 6．0和Microsoft Speech API 5．1，通过一个具体实例对机器人手术网络遥控系统中的语音识别部分作了较详细的论述。     

Start-up current adaptive control for sensorless high-speed brushless DC motors based on inverse system method and internal mode controller

The start-up current control of the high-speed brushless DC (HS-BLDC) motor is a chal-lenging research topic. To effectively control the start-up current of the sensorless HS-BLDC motor, an adaptive control method is proposed based on the adaptive neural network (ANN) inverse system and the two degrees of freedom (2-DOF) internal model controller (IMC). The HS-BLDC motor is identified by the online least squares support vector machine (OLS-SVM) algo-rithm to regulate the ANN inverse controller parameters in real time. A pseudo linear system is developed by introducing the constructed real-time inverse system into the original HS-BLDC motor system. Based on the characteristics of the pseudo linear system, an extra closed-loop feed-back control strategy based on the 2-DOF IMC is proposed to improve the transient response per-formance and enhance the stability of the control system. The simulation and experimental results show that the proposed control method is effective and perfect start-up current tracking perfor-mance is achieved.     

Italian low cost GNSS/INS system suitable for mobile mapping

The first studies for the mobile mapping and creation of a vehicle for this kind of research was carried out by Canadian Researchers in the 1980s. Since then, these vehicles have been widely employed in several applications (road cadastre maps, terrestrial photogrammetry, road sign recognition, etc.) for both commercial and research purposes throughout the world. Many GNSS/INS vehicles which can be equipped in different ways with one or more GPS, inertial sensors, and one or several cameras, have been realized. A characteristic shared by most of these devices concerns the high costs of the sensors, of the realization, and of the maintenance. For this reason, a GNSS/INS system, that is suitable for any vehicle, made up of low-cost devices (two GPS receivers, an INS, and a camera rigidly placed on a metallic bar), have been designed and built by our research group. Two tests run at different velocities have been carried out to evaluate the reliability of the system. After a presentation of the system, the differences that were witnessed during the application of these calibration methods are explained herein.     

基于语音标签的语音浏览器

随着互联网的发展,Web已经成为获取各种信息的重要途径,但是并不是所有人都能享受互联网所带来的便利。针对某些不便于使用鼠标和键盘输入的情况,开发了一个基于语音的网页浏览系统。主要特点是通过采用给网页自动添加语音标签的方法来辅助用户与互联网的语音交互。该系统通过对互联网上的网页进行本地缓存并加入语音标签,对用户的语音输入进行引导和提示,实现了语音控制的网页浏览。