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1995 International Conference on Acoustics, Speech, and Signal Processing最新文献

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Neural networks for active echo classification 主动回波分类的神经网络
Pub Date : 1995-05-09 DOI: 10.1109/ICASSP.1995.479764
J. Maksym
The paper explores the use of an artificial neural network to distinguish between echoes from a constellation of acoustic reflectors representing a target and similar echoes produced by other reflectors, e.g. reverberation. The network was both trained and tested with simulated data. A wide band linear frequency modulated pulse was used in order to resolve the highlights of the target.
本文探讨了使用人工神经网络来区分来自代表目标的声学反射器星座的回声和由其他反射器产生的类似回声,例如混响。用模拟数据对网络进行了训练和测试。为了解决目标的高光问题,采用了宽带线性调频脉冲。
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引用次数: 1
Integrating analysis, simulation, and implementation tools in electronic courseware for teaching signal processing 集成分析、仿真和实现工具的电子课件教学信号处理
Pub Date : 1995-05-09 DOI: 10.1109/ICASSP.1995.479444
R. Bamberger, B. Evans, Edward A. Lee, J. McClellan, M. Yoder
A typical path in learning digital signal processing begins at the theoretical end and progresses toward the practical constraints imposed by implementation in hardware or software. On this path, the student would learn how to convert mathematical theory into algorithms and then algorithms into efficient implementations. In this paper, we first summarize the electronic courseware we have already developed in Mathematica, MATLAB, and Ptolemy to teach DSP theory, algorithms, and implementation, respectively. Then, we discuss ways to integrate our efforts to help students discover the connections between these topics.
学习数字信号处理的典型途径是从理论端开始,并向硬件或软件实现所施加的实际约束发展。在这条道路上,学生将学习如何将数学理论转化为算法,然后将算法转化为有效的实现。在本文中,我们首先总结了我们已经开发的电子课件,分别在Mathematica, MATLAB和Ptolemy中教授DSP理论,算法和实现。然后,我们讨论如何整合我们的努力,帮助学生发现这些主题之间的联系。
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引用次数: 4
A real-time speech recognition architecture for a multi-channel interactive voice response system 一种多通道交互式语音响应系统的实时语音识别体系结构
Pub Date : 1995-05-09 DOI: 10.1109/ICASSP.1995.480115
Agus Trihandoyo, A. Belloum, K. Hou
Achieving reliable implementation of a real-time speaker independent speech recognizer through the telephone network is a challenging research problem. Besides requiring the selection of a suitable algorithm, which takes into account both real-time and accuracy constrains, it requires also adequate hardware architecture and optimized software. This paper presents a dedicated multiprocessor DSP architecture for telecom applications. Based on ADSP-21060 SHARC DSPs, it is the kernel of a digital interactive voice response (IVR) system that is connected to a digital switch through the primary CCITT standard time division multiplexing line of 2.048 Mbps. We attempt to show how a multi-DSP based hardware can be designed for a specific problem in telecommunication, along with the implementation of automatic speech recognition (ASR) to the digital IVR system.
如何通过电话网络可靠地实现与说话人无关的实时语音识别器是一个具有挑战性的研究问题。除了要求选择合适的算法,同时考虑实时性和精度的约束外,还需要适当的硬件架构和优化的软件。本文提出了一种电信应用专用的多处理器DSP体系结构。它是基于ADSP-21060 SHARC dsp的数字交互式语音应答(IVR)系统的核心,通过2.048 Mbps的CCITT主标准时分复用线与数字交换机相连。我们试图展示如何为电信中的特定问题设计基于多dsp的硬件,以及对数字IVR系统的自动语音识别(ASR)的实现。
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引用次数: 15
Objective speech measure for Chinese in wireless environment 无线环境下汉语语音的客观测量
Pub Date : 1995-05-09 DOI: 10.1109/ICASSP.1995.479527
K. Lam, O. Au, C. Chan, K. F. Hui, S. F. Lau
The cellular phone is becoming an important means of mobile wireless communication, especially in metropolitan areas. One of the important operating considerations of the cellular phone service providers is the maintainence of the speech quality of the cellular phone network. Subjective evaluation by repeated listening tests at various sites within the coverage area is impractical due to its intrinsic laborious and expensive nature. As a result, it would be much desirable to have an automatic objective evaluation system which applies a good objective speech measure to estimate the statistical average of subjective opinions of the typical conversational speech sentences sent through the cellular network. While extensive work was done for objective speech measures for languages such as English, Japanese, French, and other western languages, little has been done for Chinese. In addition, little has been done to quantify speech quality in the wireless environment.
移动电话正在成为移动无线通信的重要手段,尤其是在大都市地区。保持蜂窝电话网络的语音质量是蜂窝电话服务提供商的重要运营考虑因素之一。在覆盖范围内的不同地点进行重复听力测试的主观评估由于其本身的费力和昂贵的性质是不切实际的。因此,希望有一个自动客观评价系统,应用良好的客观语音度量来估计通过蜂窝网络发送的典型会话语音句子的主观意见的统计平均值。虽然对英语、日语、法语和其他西方语言的客观语音测量做了大量的工作,但对汉语的研究却很少。此外,对无线环境下的语音质量进行量化的研究很少。
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引用次数: 4
A robust variable-rate speech coder 一种鲁棒可变速率语音编码器
Pub Date : 1995-05-09 DOI: 10.1109/ICASSP.1995.479520
A. Shen, Benjamim Tang, A. Alwan, G. Pottie
The goal of this study is to develop a robust and high-quality speech coder for wireless communication. The proposed coder is a perceptually-based variable-rate subband coder. The perceptual metric ensures that encoding is optimized to the human listener and is based on calculating the signal-to-mask ratio in short-time frames of the input signal. An adaptive bit allocation scheme is employed and the subband energies are then quantized using a Max-Lloyd quantizer. The coder is fully scalable-increasing the bit rates, improves the quality of encoded speech. Subjective listening tests, using quiet and noisy input signals, indicate that the proposed coder produces high-quality speech when operating at 12 kbps or higher. In error-free conditions, our coder has comparable performance to that of QCELP or GSM coders. For speech in background noise, however, our coder, at 12 kbps, outperforms QCELP significantly, and for music, it outperforms both QCELP and GSM.
本研究的目标是开发一种鲁棒且高品质的无线通讯语音编码器。所提出的编码器是一种基于感知的可变速率子带编码器。感知度量确保编码对人类听者进行优化,并基于计算输入信号的短时间帧的信号与掩码比。采用自适应比特分配方案,然后使用Max-Lloyd量化器对子带能量进行量化。编码器是完全可扩展的-增加比特率,提高编码语音的质量。主观听力测试,使用安静和嘈杂的输入信号,表明所提出的编码器产生高质量的语音时,工作在12 kbps或更高。在无错误条件下,我们的编码器具有与QCELP或GSM编码器相当的性能。然而,对于背景噪声中的语音,我们的编码器以12 kbps的速度明显优于QCELP,对于音乐,它优于QCELP和GSM。
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引用次数: 9
Segmentation and motion estimation of moving objects for object-oriented analysis-synthesis coding 面向对象分析合成编码的运动目标分割与运动估计
Pub Date : 1995-05-09 DOI: 10.1109/ICASSP.1995.479984
Jae-Gark Choi, Si-Woong Lee, Seong-Dae Kim
This paper presents a segmentation and motion estimation method for object-oriented analysis-synthesis coding. A major difficulty in estimating general motion is that it requires a large area of support in order to achieve a good estimation. Unfortunately, when the supporting area is large it is very likely to have multiple moving objects. To solve this problem, we propose a multi-stage segmentation method which is based on optical flow. The basic concept is to group homogeneous subregions with respect to simpler mapping model into large homogeneous regions with respect to more complex mapping model. By applying a hierarchy of mapping parameter model progressively, we can segment the whole changed region into several parabolic patches. Especially person's face in head-and-shoulder images can be described as one object.
提出了一种面向对象分析合成编码的分割和运动估计方法。估计一般运动的一个主要困难是,它需要大面积的支持,以达到良好的估计。不幸的是,当支撑区域很大时,很可能有多个移动物体。为了解决这一问题,我们提出了一种基于光流的多阶段分割方法。其基本概念是将相对于更简单的映射模型的同质子区域分组为相对于更复杂的映射模型的大的同质区域。采用逐级递进的映射参数层次模型,将整个变化区域分割成若干抛物型小块。特别是头肩图像中的人脸可以被描述为一个物体。
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引用次数: 7
Adaptive period estimation of a class of periodic random processes 一类周期随机过程的自适应周期估计
Pub Date : 1995-05-09 DOI: 10.1109/ICASSP.1995.480084
J. Spanjaard, L. White
The problem of period uncertainty when evaluating spectrum estimates for wide sense cyclostationary processes is addressed in this paper. In particular, the extended Kalman filter (EKF) and a parallel bank of Kalman filters are investigated as different methods for adaptive estimation of a time-varying period. An example is given concerning an AR(1) process and a number of time-varying periods are adaptively tracked for different periodic functions. Convergence characteristics are also assessed. Finally, a combined detection-estimation approach is also investigated.
本文讨论了广义周期平稳过程谱估计的周期不确定性问题。特别地,研究了扩展卡尔曼滤波器(EKF)和并行卡尔曼滤波器组作为自适应估计时变周期的不同方法。给出了一个关于AR(1)过程的例子,对不同的周期函数自适应跟踪多个时变周期。并对收敛特性进行了评价。最后,研究了一种结合检测和估计的方法。
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引用次数: 7
Feature measurement and analysis using Gabor filters 使用Gabor滤波器进行特征测量和分析
Pub Date : 1995-05-09 DOI: 10.1109/ICASSP.1995.480043
R. Buse, Zhi-Qiang Liu
An innovative and powerful method is proposed for measuring physical parameters of lines using the responses from a bank of Gabor (1946) filters. These measurements are made without resorting to an image ruler. First the system is calibrated by establishing a relationship between the frequency of the Gabor filter and line length, then the length and angle of of isolated lines can be measured. A constraint on this method is that the lines in the scene need to be separated and isolated by a minimum distance. Results indicate that Gabor filters can be successfully applied to the measurement of geometric properties of objects, especially where Gabor filters are already being used for processing tasks. The best accuracies in terms of measurement error for the line length and angle measurements were 0.81% and 0.0% respectively.
利用Gabor(1946)滤波器的响应,提出了一种创新而强大的方法来测量线路的物理参数。这些测量不需要借助于图像尺。首先通过建立Gabor滤波器的频率与线长之间的关系对系统进行校准,然后测量隔离线的长度和角度。这种方法的一个限制是场景中的线需要被最小距离分隔和隔离。结果表明,Gabor滤波器可以成功地应用于测量物体的几何属性,特别是在Gabor滤波器已经被用于处理任务的地方。测量线长和角度的最佳精度分别为0.81%和0.0%。
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引用次数: 3
Multi-dimensional, paraunitary principal component filter banks 多维、准酉主成分滤波器组
Pub Date : 1995-05-09 DOI: 10.1109/ICASSP.1995.480566
B. Xuan, R. Bamberger
This paper presents a generalization of the one-dimensional principal component filter bank (PCFB) derived by Tsatsanis (see Univ. of Virginia, Ph.D. Thesis, Sept. 1992.) to higher dimensions. Previously, the results of Tsatsanis were extended to two-dimensional signals, but this was limited to 2D signals and separable resampling operators. The filter bank discussed results in minimizing the mean squared error when only Q out of P subbands are retained. Furthermore, it is shown that the filter bank maximizes the theoretical coding gain (TCG). Simulations are presented, showing the results for reconstructing an image from only the first subband signal, demonstrating the potential of the PCFB.
本文将Tsatsanis(参见弗吉尼亚大学博士论文,1992年9月)导出的一维主成分滤波器组(PCFB)推广到更高的维度。以前,Tsatsanis的结果被扩展到二维信号,但这仅限于二维信号和可分离重采样算子。所讨论的滤波器组在只保留P个子带中的Q个子带时使均方误差最小。此外,该滤波器组可使理论编码增益(TCG)最大化。仿真显示了仅从第一子带信号重建图像的结果,证明了PCFB的潜力。
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引用次数: 22
Ziv-Zakai lower bounds in bearing estimation 方位估计中的Ziv-Zakai下界
Pub Date : 1995-05-09 DOI: 10.1109/ICASSP.1995.479888
K. Bell, Y. Ephraim, H. V. Trees
Bounds on the MSE in estimating the bearing of a planewave signal is of considerable interest in many fields. Of particular importance is the ability of a bound to closely characterize performance in the small error or asymptotic region, and the large error or ambiguity region, and to accurately predict the location of the threshold between the regions. The vector Ziv-Zakai bound is applied to the problem of estimating two-dimensional bearing with planar arrays of arbitrary geometry. The bound is calculated for square and circular arrays, and compared with the Weiss-Weinstein (1983, 1984) bound. The Ziv-Zakai bound is shown to be tighter than the Weiss-Weinstein bound in the threshold and asymptotic regions.
在估计平面波信号的方位时,均方误差的界限在许多领域都是相当有意义的。特别重要的是,边界能够在小误差或渐近区域和大误差或模糊区域密切表征性能,并准确预测区域之间阈值的位置。将向量Ziv-Zakai界应用于任意几何平面阵列的二维方位估计问题。计算方形和圆形数组的边界,并与Weiss-Weinstein(1983,1984)边界进行比较。在阈值区域和渐近区域,证明了Ziv-Zakai界比Weiss-Weinstein界更紧。
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引用次数: 9
期刊
1995 International Conference on Acoustics, Speech, and Signal Processing
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