2021 National Conference on Communications (NCC)最新文献_第10页

INSTANTANEOUS FREQUENCY FILTER-BANK FEATURES FOR LOW RESOURCE SPEECH RECOGNITION USING DEEP RECURRENT ARCHITECTURES 使用深度循环架构的低资源语音识别的瞬时频率滤波器组特征

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530049

Shekhar Nayak, C. S. Kumar, K. Murty

{"title":"INSTANTANEOUS FREQUENCY FILTER-BANK FEATURES FOR LOW RESOURCE SPEECH RECOGNITION USING DEEP RECURRENT ARCHITECTURES","authors":"Shekhar Nayak, C. S. Kumar, K. Murty","doi":"10.1109/NCC52529.2021.9530049","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530049","url":null,"abstract":"Recurrent neural networks (RNNs) and its variants have achieved significant success in speech recognition. Long short term memory (LSTM) and gated recurrent units (GRUs) are the two most popular variants which overcome the vanishing gradient problem of RNNs and also learn effectively long term dependencies. Light gated recurrent units (Li-GRUs) are more compact versions of standard GRUs. Li-GRUs have been shown to provide better recognition accuracy with significantly faster training. These different RNN inspired architectures invariably use magnitude based features and the phase information is generally ignored. We propose to incorporate the features derived from the analytic phase of the speech signals for speech recognition using these RNN variants. Instantaneous frequency filter-bank (IFFB) features derived from Fourier transform relations performed at par with the standard MFCC features for recurrent units based acoustic models despite being derived from phase information only. Different system combinations of IFFB features with the magnitude based features provided lowest PER of 12.9% and showed relative improvements of up to 16.8% over standalone MFCC features on TIMIT phone recognition using Li-GRU based architecture. IFFB features significantly outperformed the modified group delay coefficients (MGDC) features in all our experiments.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126248332","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: 1

Performance Analysis of RIS Assisted Smart Grid HEMS using RQAM Modulation 基于RQAM调制的RIS辅助智能电网HEMS性能分析

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530086

Ashish Kumar Padhan, P. R. Sahu, S. Samantaray

引用次数: 0

Digital Predistortion Resource Optimization for Frequency Hopping Transceiver System 跳频收发系统数字预失真资源优化

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530074

Jaya Mishra, Girish Chandra Tripathi, M. Rawat

{"title":"Digital Predistortion Resource Optimization for Frequency Hopping Transceiver System","authors":"Jaya Mishra, Girish Chandra Tripathi, M. Rawat","doi":"10.1109/NCC52529.2021.9530074","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530074","url":null,"abstract":"Frequency hopping (FH) is one of the best spread spectrum techniques for interference avoidance. Nonlinearity of PA is still a hindrance in using high efficiency modulation like QAM with FH. As dwell time is short, applying digital predistortion (DPD) to mitigate nonlinearity becomes critical. Memory Polynomial Model (MPM) based indirect learning architecture offers feasible solutions with reasonable resource utilization for FPGA implementation. Hard coded DPD in FPGA is the best possibility for FH system. It takes less time in the implementation and application of DPD. If a single DPD for the whole frequency band 105MHz (2.395GHz to 2.5GHz) is used, it will consume less FPGA resource but will not provide good result. Hard coded DPD at each hopping frequency is not possible because of limited resource of FPGA. So, a solution has been worked out to use six DPD, each DPD for 3 to 4 hopping frequency. Thus, this paper provides a real-time solution of DPD implementation for the FH system in the above band. NMSE has been used to judge the efficacy of DPD. The resource utilized and time taken has been studied in this paper.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123170683","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

A Penalty-Based Routing and Spectrum Assignment in Fragmented Elastic Optical Network Spectrum 碎片化弹性光网络频谱中基于惩罚的路由和频谱分配

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530071

Anjali Sharma, Sobir Ali, Varsha Lohani, Y. N. Singh

引用次数: 0

Angle of Arrival distribution for Coherent Scattering from an Undulating Sea Surface 波浪海面相干散射的到达角分布

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530055

M. Rawat, Brejesh Lall, Seshan Srirangarajan

引用次数: 0

The Capacity of Photonic Erasure Channels with Detector Dead Times 具有检测器死区时间的光子擦除通道容量

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530152

Jaswanthi Mandalapu, K. Jagannathan

引用次数: 0

Learning Based Method for Robust DOA Estimation using Co-prime Circular Conformal Microphone Array 基于学习的共素圆共形传声器阵列鲁棒DOA估计方法

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530130

Raj Prakash Gohil, Gyanajyoti Routray, R. Hegde

{"title":"Learning Based Method for Robust DOA Estimation using Co-prime Circular Conformal Microphone Array","authors":"Raj Prakash Gohil, Gyanajyoti Routray, R. Hegde","doi":"10.1109/NCC52529.2021.9530130","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530130","url":null,"abstract":"Sound source localization in 1-Dimensional (1D) and 2-Dimensional (2D) is one of the most familiar problems in signal processing. Various types of microphone arrays and their geometry have been explored to find an optimal solution to this problem. The problem becomes more challenging for a reverberate and noisy environment. Localization of the source both in the azimuth and elevation increases the complexity further. In this paper, a convolutional neural network (CNN) based learning approach has been proposed to estimate the primary source in 2D space. Further, a noble co-prime circular conformal microphone array (C3MA) geometry has been developed for sound acquisition. The generalized cross-correlation with phase transform (GCC-PHAT)features have been extracted from the C3MA recordings, which are the input features for training purposes. The experimental results show that the learning-based estimation is more robust compared to the conventional signal processing approach. The learning-based approach also explores the GCC-PHAT features and can be adapted in an adverse acoustic environment. The performance of the proposed algorithm shows significant improvement in the root mean squared error (RMSE) and mean absolute error (MAE) scores compared to the available state-of-art methods.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114364276","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

Phrase recognition using Improved Lip reading through Phase-Based Eulerian Video Magnification 通过基于相位的欧拉视频放大改进唇读的短语识别

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530021

Salam Nandakishor, D. Pati

{"title":"Phrase recognition using Improved Lip reading through Phase-Based Eulerian Video Magnification","authors":"Salam Nandakishor, D. Pati","doi":"10.1109/NCC52529.2021.9530021","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530021","url":null,"abstract":"Lip reading is a technique to understand speech by visual observations of the lip movements. While speaking the subtle motion or temporal variations of our mouth are generally invisible by naked humans eyes. It is mainly due to the limited range of visual perception. These imperceptible visual information consist of useful hidden information. The Eulerian video magnification (EVM) technique is used to magnify the video for revealing such hidden information. In this work, the phase based EVM method is used to magnify the subtle spatial and temporal information of the mouth movements for phrases recognition task. The local binary pattern histogram extracted from three orthogonal plane (XY, XT and YT), known as LBP-TOP is used as visual feature to represent mouth movements. The support vector machine (SVM) is used for recognition of phrases. The experiments are performed on OuluVS database. The lip-reading approach without EVM provides 62% accuracy whereas the phase based EVM method provides 70% accuracy. This shows that the proposed method extracts comparatively more robust and discriminative visual features for phrase recognition task.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130399498","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

Spatio-Temporal Prediction of Roadside PM2.5 based on Sparse Mobile Sensing and Traffic Information 基于稀疏移动传感和交通信息的路边PM2.5时空预测

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530042

A. Kakarla, V. K. Munagala, T. Ishizaka, A. Fukuda, S. Jana

引用次数: 0

Differential Scale based Multi-objective Task Scheduling and Computational Offloading in Fog Networks 基于差分尺度的雾网络多目标任务调度与计算卸载

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530077

M. Saxena, Sudhir Kumar

引用次数: 0