2018 Twenty Fourth National Conference on Communications (NCC)最新文献

Determining the Generalized Hamming Weight Hierarchy of the Binary Projective Reed-Muller Code 确定二进制投影Reed-Muller码的广义Hamming权层次

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-06-06 DOI: 10.1109/NCC.2018.8600134

Vinayak Ramkumar, Myna Vajha, P. V. Kumar

引用次数: 3

Spectrum Sensing and Collision with Primary Users in MIMO Cognitive Radio MIMO认知无线电中的频谱感知与主用户碰撞

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8600204

V. Viswanath, S. Alam, R. S. Kshetrimayum

引用次数: 2

Automatic Segmentation of Intima Media Complex in Common Carotid Artery using Adaptive Wind Driven Optimization 应用自适应风驱动优化自动分割颈总动脉内膜中膜复合体

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8600240

Pardhu Madipalli, S. Kotta, Harish Dadi, N. Y., A. C S, A. V. Narasimhadhan

引用次数: 5

Cell-Phone Identification from Recompressed Audio Recordings 从重新压缩的音频记录中识别手机

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8600131

Vinay Verma, Preet Khaturia, N. Khanna

引用次数: 5

Improved Epoch Extraction Using Variational Mode Decomposition Based Spectral Smoothing of Zero Frequency Filtered Emotive Speech Signals 基于变分模分解的零频率滤波情绪语音信号谱平滑改进历元提取

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8600091

D. Govind, D. Pravena, S. Ajay

{"title":"Improved Epoch Extraction Using Variational Mode Decomposition Based Spectral Smoothing of Zero Frequency Filtered Emotive Speech Signals","authors":"D. Govind, D. Pravena, S. Ajay","doi":"10.1109/NCC.2018.8600091","DOIUrl":"https://doi.org/10.1109/NCC.2018.8600091","url":null,"abstract":"The objective of the present work is to improve the epoch extraction performance from emotive speech by proposing a post processing approach to the conventional zero frequency filtering (ZFF) method using variational mode decomposition (VMD) based spectral smoothing. Due to the fast uncontrolled variations of the pitch in emotive speech signals, the reliable estimation of epochs is always challenging. In the proposed method, the spectra of the short frames of zero frequency filtered signal (ZFFS) is subjected variational mode decomposition to get component spectra in five modes. A smoothed short time spectra is then obtained by excluding the spectra from the two higher VMD modes which essentially have the high spectral variations. The modified ZFFS is then reconstructed using the sinusoidal parameters corresponding to single dominant frequency present in the smoothed spectra using VMD by parameter interpolation based sinusoidal synthesis. The resulting re-synthesized ZFFS has reduced spurious zero crossings as compared to that obtained from the conventional ZFF method for emotive speech signals. The effectiveness of the proposed VMD based spectral post processing is confirmed from the improved epoch identification rate and epoch identification accuracy across all the emotive utterances (with 7 emotions) present in German emotion speech database having simultaneous speech and electroglottographic (EGG) signal recordings. The performance of the proposed method is found to be better or comparable with the other existing ZFF based post processing methods proposed for emotive speech signals in terms of the epoch identification accuracy with respect to the corresponding reference epochs estimated from EGG signals.","PeriodicalId":121544,"journal":{"name":"2018 Twenty Fourth National Conference on Communications (NCC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125576409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Disambiguation of Source and Trajectory Non-Stationarities of a Moving Acoustic Source 运动声源的声源和轨迹非平稳性消歧

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8599942

Sai Gunaranian Pelluri, T. Sreenivas

引用次数: 0

Permutation Polynomial Representatives and their Matrices 置换多项式表示及其矩阵

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8599882

Megha M. Kolhekar, H. Pillai

{"title":"Permutation Polynomial Representatives and their Matrices","authors":"Megha M. Kolhekar, H. Pillai","doi":"10.1109/NCC.2018.8599882","DOIUrl":"https://doi.org/10.1109/NCC.2018.8599882","url":null,"abstract":"Permutation polynomials are a topic of research due to their applications in various areas like coding theory, cryptography and combinatorial designs. The seminal paper [1] lists many open problems in this area. There are q<sup>q</sup>polynomials of degree < <tex>$q$</tex> over <tex>$mathbb{F}_{q}$</tex> and <tex>$q!$</tex> among them are the permutation polynomials. Therefore as <tex>$q$</tex> increases it becomes more difficult to find a permutation polynomial. In this paper, we define a notion of a “Permutation Polynomial Representative (PPR)” which can be used to reduce the search space for permutation polynomials. We give some properties of a PPR. Then we give matrix representation of a PPR; which can be used to construct the ‘compositional inverse’ of the PPR. In every application compositional inverses are required to invert the permutation established by the permutation polynomial, but finding the compositional inverse of a given permutation polynomial is not a straightforward problem. Further, we introduce a product of two vectors over <tex>$mathbb{F}_{q}$</tex> which we call as the ‘Butterfly Product’, use it to define a <tex>$mathcal{H}$</tex> matrix’ and provide a necessary and sufficient condition for any (q - 2) × (q - 2) matrix over <tex>$mathbb{F}_{q}$</tex> to be the matrix representation of a permutation of non-zero elements of <tex>$mathbb{F}_{q}$</tex>. In the end we give a theorem about finding more permutation polynomials from the matrix of a PPR.","PeriodicalId":121544,"journal":{"name":"2018 Twenty Fourth National Conference on Communications (NCC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126384546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cooperative Sensing of OFDM Signals using Heterogeneous Sensors 基于异构传感器的OFDM信号协同感知

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8600266

Akhil Singh, P. B. Gohain, S. Chaudhari

引用次数: 3

Energy-Efficient Air Pollution Monitoring with Optimum Duty-Cycling on a Sensor Hub 基于传感器中心的最优占空比节能空气污染监测

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8600133

M. R. Chowdhury, S. De, N. Shukla, Ranendra N. Biswas

引用次数: 11

Manner of Articulation based Split Lattices for Phoneme Recognition 基于发音的分割格音位识别方法

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8600190

P. R, K. S. Rao

{"title":"Manner of Articulation based Split Lattices for Phoneme Recognition","authors":"P. R, K. S. Rao","doi":"10.1109/NCC.2018.8600190","DOIUrl":"https://doi.org/10.1109/NCC.2018.8600190","url":null,"abstract":"Phoneme lattices have been shown to be a good choice to encode in a compact way alternative decoding hypotheses from a speech recognition system. However the optimal phoneme sequence is produced by tracing all the phoneme identities in the lattice. This not only makes the search space of the decoder huge but also the final phoneme sequence may be prone to have false substitutions or insertion errors. In this paper, we introduce the split lattice structures that is generated by splitting the speech frames based on the manner of articulation. Spectral flatness measure (SFM) is exploited to detect the two broad manner of articulation sonorants and non-sonorants. The manner of sonorants includes broadly the vowels, the semivowels and the nasals whereas the fricatives, stop consonants and closures belong to non-sonorants. The conventional way of speech decoder produces one lattice for one test utterance. In our work, we split the speech frames into sonorants and non-sonorants based on SFM knowledge and generate split lattices. The split lattice generated are modified according to the manner of articulation in each split so as to remove the irrelevant phoneme identities in the lattice. For instance, the sonorant lattice is forced to exclude the non-sonorant phoneme identities and hence minimizing false substitutions or insertion errors. The proposed split lattice structure based on sonority detection decreased the phone error rates by nearly 0.9 % when evaluated on core TIMIT test corpus as compared to the conventional decoding involved in the state-of-the-art Deep Neural Networks (DNN).","PeriodicalId":121544,"journal":{"name":"2018 Twenty Fourth National Conference on Communications (NCC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131229435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3