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2015 Twenty First National Conference on Communications (NCC)最新文献

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Speech vs music discrimination using Empirical Mode Decomposition 基于经验模态分解的语音与音乐区分
Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084865
B. K. Khonglah, Rajib Sharma, S. Prasanna
This work explores the use of Empirical Mode Decomposition (EMD) for discriminating speech regions from music in audio recordings. The different frequency scales or Intrinsic Mode Functions (IMFs) obtained from EMD of the audio signal are found to contain discriminatory evidence for distinguishing the speech regions from the music regions of the audio signal. Different statistical measures like mean, absolute mean, variance, skewness and kurtosis are computed from the various IMFs and investigated for speech vs music discrimination. These features on being used for classification using classifiers like Support Vector Machines (SVMs) and k-Nearest Neighbour (k-NN) on the Scheirer and Slaney database gives the best overall classification accuracy of 90.83% for the SVMs and 85.33% for the k-NN.
这项工作探讨了使用经验模式分解(EMD)来区分录音中的语音区域和音乐。从音频信号的EMD中获得的不同频率尺度或内在模态函数(IMFs)包含区分音频信号的语音区域和音乐区域的区别证据。从各种imf中计算不同的统计度量,如平均值、绝对平均值、方差、偏度和峰度,并研究语音与音乐的区别。这些特征被用于在Scheirer和Slaney数据库上使用支持向量机(svm)和k-近邻(k-NN)等分类器进行分类,svm和k-NN的总体分类精度最高,分别为90.83%和85.33%。
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引用次数: 7
Enhanced Mobility State Estimation in LTE HetNets LTE网络中增强的移动状态估计
Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084911
Mahima Mehta, N. Akhtar, A. Karandikar
In this paper, we investigate issues related to the estimation of user's mobility state in the Long Term Evolution (LTE) heterogeneous cellular network. We discuss the need of such estimation and further, we propose an enhancement to the existing Mobility State Estimation (MSE) procedure which results in reduced HandOver failures. We also analyze the role of thresholds in mobility state estimation and their impact on the mobility performance. We analyze the performance using the Heterogeneous Network (HetNet) mobility simulator that we have developed as per the guidelines specified in the Release 12 of the Third Generation Partnership Project (3GPP) LTE standard.
本文研究了长期演进(LTE)异构蜂窝网络中用户移动状态估计的相关问题。我们讨论了这种估计的必要性,并进一步提出了对现有迁移状态估计(MSE)过程的改进,从而减少了切换失败。我们还分析了阈值在迁移状态估计中的作用及其对迁移性能的影响。我们根据第三代合作伙伴计划(3GPP) LTE标准第12版中指定的指导方针开发了异构网络(HetNet)移动模拟器,使用该模拟器分析性能。
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引用次数: 8
Contention versus polling access in IEEE 802.15.6: Delay and lifetime analysis IEEE 802.15.6中的争用与轮询访问:延迟和生命周期分析
Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084902
Anil K. Jacob, G. S. Kishore, L. Jacob
Lifetimes and latencies of devices in wireless body area networks (WBANs) that monitor the health conditions of patients largely determine their utility under such a setup. It is seen that the medium access control (MAC) used in the WBAN can play a significant role in the network lifetime and the quality of service (QoS) it can provide. IEEE 802.15.6 standard for WBAN includes different MAC options: contention, scheduled, polling, or a combination of these techniques. In this paper, contention based on CSMA/CA and polling are investigated to assess their effectiveness in meeting the lifetime and QoS requirements of WBAN with multipriority traffic. We provide analytical models for the access delay and lifetime with contention access, and also for latency with polling access. The analytical results are compared with simulation for a typical configuration of medical devices. It is found that priority polling can give a combination of high lifetime and a low latency. Various other results offer important insights into the behaviour of these techniques under WBAN conditions.
监测患者健康状况的无线体域网络(wban)中设备的寿命和延迟在很大程度上决定了它们在这种设置下的效用。可见,WBAN中使用的介质访问控制(MAC)对其所能提供的网络寿命和服务质量(QoS)起着重要的作用。WBAN的IEEE 802.15.6标准包括不同的MAC选项:争用、调度、轮询或这些技术的组合。本文研究了基于CSMA/CA的竞争和轮询,以评估它们在满足WBAN多优先级业务的生存期和QoS要求方面的有效性。我们提供了争用访问的访问延迟和生命周期的分析模型,以及轮询访问的延迟分析模型。分析结果与典型医疗器械结构的仿真结果进行了比较。研究发现,优先级轮询可以提供高生命周期和低延迟的组合。各种其他结果为这些技术在WBAN条件下的行为提供了重要的见解。
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引用次数: 13
Automatic gender classification using the mel frequency cepstrum of neutral and whispered speech: A comparative study 中性语和耳语语音中低频倒谱自动性别分类的比较研究
Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084886
N. Meenakshi, P. Ghosh
A whispered speech resembles an unvoiced speech due to the lack of vocal fold vibration unlike the neutral speech. Since information about the gender of a speaker typically lies in the pitch resulted from the vocal fold vibration (or source signal), identifying gender from the whispered speech is more challenging compared to that from the neutral speech. In the absence of the pitch, we study the use of the vocal tract filter captured through the spectral envelope for automatic gender classification (AGC) from a whispered speech. The spectral envelope is represented by the Mel frequency cepstral coefficients (MFCCs). We also compare the AGC performance from the neutral speech using only MFCCs with that from the whispered speech. AGC experiment using a set of 33 sentences spoken in neutral and whispered mode by 16 female and 20 male speakers reveals that the AGC accuracy using the neutral speech is, on average, higher (4.5% absolute) than that using the whispered speech when only the spectral shape information is used. This is true even when we use a subset of MFCCs obtained by a forward cepstral coefficient selection algorithm. However, the AGC accuracy obtained using the MFCC of the neutral speech is found to be 2.83% (absolute) lower compared to that using pitch. These findings not only suggest that there is gender specific information in the spectral shape but also indicate that the spectral shape carries less gender specific information when a speaker whispers as opposed to speaking normally.
与中性语言不同,由于没有声带振动,低声说话就像无声的说话。由于关于说话者性别的信息通常存在于由声带振动(或源信号)产生的音高中,因此从低声说话中识别性别比从中性说话中识别性别更具挑战性。在没有音高的情况下,我们研究了使用通过频谱包络捕获的声道滤波器对低声语音进行自动性别分类(AGC)。频谱包络由Mel频率倒谱系数(MFCCs)表示。我们还比较了仅使用mfccc的中性语音与低声语音的AGC性能。对16名女性和20名男性在中性和低语模式下说的33个句子进行AGC实验,结果表明,当只使用频谱形状信息时,使用中性语音的AGC准确率平均比使用低语语音的AGC准确率高4.5%(绝对)。即使当我们使用由前向倒谱系数选择算法获得的mfc子集时,也是如此。然而,使用中性语音的MFCC获得的AGC精度比使用音调获得的AGC精度低2.83%(绝对)。这些发现不仅表明频谱形状中存在性别特定信息,而且还表明,当说话者低声说话时,频谱形状携带的性别特定信息较少。
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引用次数: 5
Comparison of assamese character recognizer using stroke level and character level engines 使用笔划级和字符级引擎的阿萨姆语字符识别器的比较
Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084861
Himakshi Choudhury, S. Mandal, Sanjeevan Devnath, S. Prasanna, S. Sundaram
Hidden Markov Models (HMM) are the widely used modeling techniques for online handwriting recognition. This paper describes both stroke based and character based methods for Assamese handwritten character recognition using HMM classifier. In stroke based method, unique strokes that are used to write the characters are grouped and then HMM modeling is done for each of these selected class of strokes. A character can comprise of one or multiple strokes. Reference set is prepared by analyzing the different combinations of strokes and the degree of confusion between similar strokes. The stroke based method comprises of two stages. First, the stroke sequences in the test character is recognized by stroke based HMM classifier and in the second stage this sequence of strokes is compared against the entries of the reference set. The character corresponding to the matched stroke sequence in the reference set is considered as the recognized character. In character based method, each character as a whole is modeled using HMM and the classifier directly predicts the character class. Experiments were performed on 141 Assamese characters, collected from 100 native Assamese writers and it is observed that character based method gives better result than stroke based method.
隐马尔可夫模型(HMM)是一种广泛应用于在线手写识别的建模技术。本文描述了基于笔画和基于字符的基于HMM分类器的阿萨姆语手写字符识别方法。在基于笔画的方法中,将用于书写字符的唯一笔画进行分组,然后对所选的每一类笔画进行HMM建模。一个字符可以由一个或多个笔画组成。通过分析笔画的不同组合和相似笔画之间的混淆程度来编制参考集。基于笔画的方法包括两个阶段。首先,使用基于笔画的HMM分类器识别测试字符中的笔画序列,然后将该笔画序列与参考集的条目进行比较。将参考集中匹配笔划序列对应的字符视为识别字符。在基于字符的方法中,每个字符作为一个整体使用HMM建模,分类器直接预测字符的类别。对来自100位阿萨姆邦本土作家的141个阿萨姆语字符进行了实验,发现基于字符的方法比基于笔画的方法效果更好。
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引用次数: 12
On power-law decay exponents and Barabasi models for subscriber usage behaviour in mobile networks 移动网络中用户使用行为的幂律衰减指数和Barabasi模型
Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084925
V. Sukumaran, Jobin Wilson, P. Kapadia
We consider whether Barabási multiclass priority service queueing models are appropriate for modelling voice and short message service interusage and voice usage residual time distributions for a set of high usage subscribers of an Asian telecommunication service provider. We find that a model with a non priority service discipline rather than any priority discipline provides an alternative explanation for the fitted power-law for the interusage time distributions. We also find that a Barabási model provides an alternative explanation to the fitted power-law for the voice usage residual time distribution. However, the exponent of the fitted power-law has not been observed before. Therefore, we propose and analyse a new Barabási list-of-tasks priority model with time varying and discrete task priorities. For a special case we show that the waiting time distribution has a power-law with a previously unknown power-law decay exponent, which is different from the observed exponent for the voice usage residual time distribution.
我们考虑Barabási多优先级服务排队模型是否适合于对亚洲电信服务提供商的一组高使用用户的语音和短消息服务互用和语音使用剩余时间分布进行建模。我们发现一个具有非优先服务学科而不是任何优先学科的模型为拟合的幂律提供了另一种解释。我们还发现Barabási模型为语音使用剩余时间分布的拟合幂律提供了另一种解释。然而,拟合的幂律的指数以前没有被观察到。因此,我们提出并分析了一个新的Barabási任务列表优先级模型,该模型具有时变和离散的任务优先级。对于一个特殊情况,我们表明等待时间分布具有一个幂律,其幂律衰减指数是先前未知的,这与语音使用剩余时间分布的观察指数不同。
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引用次数: 0
An efficient heuristics to realize near-optimal small-world networks 一种实现近最优小世界网络的有效启发式算法
Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084862
Abhishek Chakraborty, B. S. Manoj
Small-world characteristic brings down average path length of a network by adding a few long-links among network node-pairs. In a real-world deployment scenario, probabilistic long-link addition cannot guarantee optimal value of average path length for a network with limited number of long-links. In this paper, we propose a generalized heuristic, Sequential Deterministic Long-link Addition (SDLA) algorithm to incorporate small-world property for moderate sized string topology networks. Our proposed algorithm has O(k × N) time complexity compared to O(N2(k+2) × log N) for optimal and O(k × N4 × log N) for near-optimal long-link addition strategies for k long links when a string topology network of size N is concerned. Our studies show that SDLA algorithm negligibly deviates in various network properties (e.g., average path length, average clustering coefficient, and graph centralities) from the optimal and near-optimal solutions.
小世界特性通过在网络节点对之间增加一些长链接来缩短网络的平均路径长度。在实际部署场景中,对于长链路数量有限的网络,概率长链路添加不能保证平均路径长度的最优值。本文提出了一种广义启发式序列确定性长链加法(SDLA)算法,以结合中等规模字符串拓扑网络的小世界性质。我们提出的算法具有O(k × N)的时间复杂度,相比之下,对于大小为N的字符串拓扑网络,对于k个长链路的最优长链路添加策略为O(N2(k+2) × log N)和近似最优长链路添加策略为O(k × N4 × log N)。我们的研究表明,SDLA算法在各种网络属性(例如,平均路径长度、平均聚类系数和图中心性)上与最优和近最优解的偏差可以忽略。
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引用次数: 3
Akshara transcription of mrudangam strokes in Carnatic music 卡纳蒂克音乐中mrudangam笔画的Akshara转录
Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084906
Jom Kuriakose, J. Kumar, Sarala Padi, H. Murthy, Umayalpuram K. Sivaraman
Percussion instruments play a significant role in Carnatic music concerts. The percussion artist enjoys a great degree of freedom in improvising within the defined tala structure of a composition. The objective of this paper is to transcribe the improvisations, treating the percussion strokes as syllables or aksharas. Onset detection is performed to segment the waveform at each akshara. Using the transcriptions from the training data, a three-state Hidden Markov Model is built for each akshara. The language model is derived from the training data. Testing is also performed isolated style using onset detection to segment the phrase, and the language model to correct the transcription. Transcription is performed on both concert recordings and studio recordings. This technique yields upto ≈ 96% accuracy on studio recordings and ≈ 76% accuracy for concert recordings. As the mrudangam1 is an instrument that is based on tonic; tonic normalised features, namely, Cent Filterbank Cepstral coefficients are used. It is shown that tonic normalisation helps in transcription across different tonics.
打击乐器在卡纳蒂克音乐会上扮演着重要的角色。打击乐艺术家在乐曲的既定塔拉结构中享有很大程度的即兴创作自由。本文的目的是抄写即兴,把打击乐的笔划当作音节或音。执行起始检测以在每个akshara处分割波形。利用训练数据的转录,为每个akshara建立一个三状态隐马尔可夫模型。语言模型由训练数据导出。测试还执行了孤立的风格,使用开始检测来分割短语,并使用语言模型来纠正转录。转录是在音乐会录音和录音室录音中进行的。这种技术在录音室录音上的准确度高达≈96%,在音乐会录音上的准确度高达≈76%。mrudangam1是一种以主音为基础的乐器;tonic归一化特征,即分滤波器组倒谱系数被使用。研究表明,主音正常化有助于不同主音的转录。
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引用次数: 14
Gain enhancement of microstrip patch antenna using near-zero index metamaterial (NZIM) lens 近零折射率超材料透镜增强微带贴片天线增益
Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084840
Hemant Suthar, D. Sarkar, K. Saurav, K. V. Srivastava
In this paper, an array of 7 × 7 novel compact metamaterial unit cells is used as superstrate to improve the broadside gain of a microstrip patch antenna operating at the WLAN band. The proposed unit cell is obtained by suitably adding extra metal strips to the conventional mirrored S like structures. The unit cell cell analysis and parameter extraction using periodic boundary condition confirms the near zero index behavior as well as significant reduction (almost 52%) in the unit cell footprint. Simulation and measurement results confirm that near-zero index metamaterial (NZIM) lens significantly improves the gain (by more than 2 dBi) and reduces the half power beamwidth in both E-plane and H-plane by 20°.
本文采用7 × 7的新型紧凑超材料单元阵列作为衬底,提高了工作在WLAN频段的微带贴片天线的宽带增益。所提出的单元电池是通过在传统的镜像S型结构上适当地添加额外的金属条而获得的。使用周期性边界条件的单胞胞分析和参数提取证实了接近零的指数行为以及显著减少(近52%)的单胞胞占地面积。仿真和测量结果证实,近零折射率超材料(NZIM)透镜显著提高了增益(超过2 dBi),并使e面和h面半功率波束宽度减小了20°。
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引用次数: 24
High data rate MBOFCDM-UWB system for underground mine channel 矿井井下信道高数据速率MBOFCDM-UWB系统
Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084884
A. Khan, S. M. Gulhane, Umesh W. Kaware
Wireless communication in underground mine aims to provide high data rate for voice and data communication among mine workers. Ultra Wide Band (UWB) technology has been seen to fulfil the above requirements. In this paper, application of 2D spreading to Multi Band Orthogonal Frequency Division Multiplexing UWB (MBOFDM-UWB) system is attempted and resulting Multi Band Orthogonal Frequency and Code Division Multiplexing UWB (MBOFCDM-UWB) system has been analysed for underground mine channel. An extended closed form analytical expression for Bit Error Rate (BER) by incorporating power decay coefficient for clusters (Γ), power decay coefficient for pulse within clusters (γch), cluster average arrival rate (Λ) and pulse average arrival rate (λ) within clusters is obtained for MBOFDM-UWB in Underground mine channel. The simulated BER results for MBOFDM-UWB system are observed to be nearly close to analytical results which validate the analysis. The simulation results have shown improvement in performance of MBOFCDM-UWB system as compare to MBOFDM-UWB system.
井下无线通信的目的是为井下职工之间的语音和数据通信提供高速率的数据。超宽带(UWB)技术已被视为满足上述要求。本文尝试将二维扩频技术应用于多波段正交频分复用UWB (MBOFDM-UWB)系统,并对矿井井下信道的多波段正交频分复用UWB (mbofcdma -UWB)系统进行了分析。结合簇内功率衰减系数(Γ)、簇内脉冲功率衰减系数(Γ - ch)、簇内平均到达率(Λ)和簇内脉冲平均到达率(Λ),得到了MBOFDM-UWB井下通道误码率(BER)的扩展封闭解析表达式。MBOFDM-UWB系统的误码率模拟结果与分析结果接近,验证了分析结果。仿真结果表明,与MBOFDM-UWB系统相比,MBOFDM-UWB系统的性能有所提高。
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引用次数: 1
期刊
2015 Twenty First National Conference on Communications (NCC)
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