2022 IEEE International Conference on Signal Processing and Communications (SPCOM)最新文献_第10页

Employee Face Recognition Scheme Using A Common Space Mapping Approach 基于公共空间映射方法的员工面部识别方案

2022 IEEE International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2022-07-11 DOI: 10.1109/SPCOM55316.2022.9840824

Arsalan Malik, H. Kusneniwar, Sandeep Joshi

引用次数: 0

A Novel Method for Millimetre-Wave Channel Estimation for 1-bit Quantized Receivers using Low-Rank Matrix Constraints 基于低秩矩阵约束的1位量化接收机毫米波信道估计新方法

2022 IEEE International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2022-07-11 DOI: 10.1109/SPCOM55316.2022.9840832

Swati Bhattacharya, K. Hari

引用次数: 0

Using Performance of ASR to Compute Optimal Location of Microphone 利用ASR性能计算传声器的最佳位置

2022 IEEE International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2022-07-11 DOI: 10.1109/SPCOM55316.2022.9840766

K. Nathwani, Bhavya Dixit, Sunil Kumar Kopparapu

引用次数: 0

Secret-Key Based Non-Coherent Signalling to Mitigate Reactive Injection Attacks 基于秘钥的非相干信令缓解反应性注入攻击

2022 IEEE International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2022-07-11 DOI: 10.1109/SPCOM55316.2022.9840817

Neha Goel, Vivek Chaudhary, J. Harshan

{"title":"Secret-Key Based Non-Coherent Signalling to Mitigate Reactive Injection Attacks","authors":"Neha Goel, Vivek Chaudhary, J. Harshan","doi":"10.1109/SPCOM55316.2022.9840817","DOIUrl":"https://doi.org/10.1109/SPCOM55316.2022.9840817","url":null,"abstract":"When communicating under strong adversarial models, non-coherent signalling schemes are known to be robust when compared to their coherent counterparts. In this regime, we consider a reactive adversarial model wherein the adversary listens to the ON-OFF keying based signalling from the victim and then injects energy on the victim’s frequency only when it detects the OFF-state of the transmitter. We show that this attack model forces the receiver to witness non-zero energy levels on all the time-instants thereby degrading the error performance. To circumvent this problem, we propose a secret-key based non-coherent signalling wherein the transmitter and the receiver use a pre-shared key to pick a random energy level from a dictionary when communicating the ON-state. As a result, the adversary, will not be able to inject the appropriate energy level with probability one. For the proposed countermeasure, first we study its uncoded variant, and propose an optimization problem over the choice of the non-zero energy levels in the dictionary in order to minimize the average error-rate for the victim. Subsequently, we also propose a coded non-coherent signalling scheme, and study the choice of decoding strategies to further improve the average error over the uncoded counterpart. Through extensive simulations, we show that the proposed countermeasure assists the victim in achieving high reliability communication with nonzero rate despite the presence of a reactive adversary.","PeriodicalId":246982,"journal":{"name":"2022 IEEE International Conference on Signal Processing and Communications (SPCOM)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126855287","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

Outage Performance of Optimal Relay and Antenna Selection Schemes with TAS/MRC and TAS/SC for Spectrum-Sharing Network under Imperfect CSI 频谱共享网络中TAS/MRC和TAS/SC最优中继和天线选择方案的中断性能

2022 IEEE International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2022-07-11 DOI: 10.1109/SPCOM55316.2022.9840842

A. Prathyusha, P. Das

{"title":"Outage Performance of Optimal Relay and Antenna Selection Schemes with TAS/MRC and TAS/SC for Spectrum-Sharing Network under Imperfect CSI","authors":"A. Prathyusha, P. Das","doi":"10.1109/SPCOM55316.2022.9840842","DOIUrl":"https://doi.org/10.1109/SPCOM55316.2022.9840842","url":null,"abstract":"Cooperative relaying and multiple-input multiple-output transmission technologies exploit spatial diversity to improve the performance of the secondary users in an underlay spectrum sharing network. For this, we present an optimal relay and transmit antenna selection (ORTAS) scheme and an optimal relay and antenna pair selection (ORAPS) scheme by employing transmit antenna selection/maximal ratio combining and transmit antenna selection/selection combining strategies, respectively. Assuming imperfect channel knowledge of the interference links to the primary receiver, the secondary source and relays sufficiently back-off their transmit powers to satisfy an interference outage constraint. We derive closed-form expressions for the outage probability of the secondary network under non-identically distributed Rayleigh fading channels for both the schemes. We also derive insightful asymptotic outage probability expressions for the ORTAS scheme considering two distinct scenarios in order to guarantee different quality of service requirements for the primary network. Both the proposed schemes substantially outperform several other relay and antenna selection schemes, and can be served as a better performance/complexity tradeoff.","PeriodicalId":246982,"journal":{"name":"2022 IEEE International Conference on Signal Processing and Communications (SPCOM)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127763949","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

USS Directed E2E Speech Synthesis For Indian Languages 美国指导的E2E语音合成印度语言

2022 IEEE International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2022-07-11 DOI: 10.1109/SPCOM55316.2022.9840801

Sudhanshu Srivastava, H. Murthy

{"title":"USS Directed E2E Speech Synthesis For Indian Languages","authors":"Sudhanshu Srivastava, H. Murthy","doi":"10.1109/SPCOM55316.2022.9840801","DOIUrl":"https://doi.org/10.1109/SPCOM55316.2022.9840801","url":null,"abstract":"The state-of-the-art end-to-end (E2E) text-to-speech synthesis systems produce highly intelligible speech. But they lack the timbre of Unit Selection Synthesis (USS) and do not perform well in a low-resource environment. Moreover, the high synthesis quality of E2E is limited to read speech. But for conversational speech synthesis, we observe the problem of missing words and the creation of artifacts. On the other hand, USS not only produces the exact speech according to the text but also preserves the timbre. Combining the advantages of USS and the continuity property of E2E, this paper proposes a technique to combine the classical USS with the neural-network-based E2E system to develop a hybrid model for Indian languages.The proposed system guides the USS system using the E2E system. Syllable-based USS and character-based E2E TTS systems are built. Mel spectrograms of syllable-like units generated in the USS and E2E frameworks are compared, and the mel-spectrogram of the better unit is used in the waveglow vocoder. A dataset of 5 Indian languages is used for the experiments. DMOS scores are obtained for conversational speech utterances improperly synthesized in the vanilla E2E and USS frameworks using the Hybrid system and an average absolute improvement of 0.3 is observed over the E2E system.","PeriodicalId":246982,"journal":{"name":"2022 IEEE International Conference on Signal Processing and Communications (SPCOM)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127774363","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

FAR-GAN: Color-controlled Fashion Apparel Regeneration FAR-GAN:色彩控制的时尚服装再生

2022 IEEE International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2022-07-11 DOI: 10.1109/SPCOM55316.2022.9840795

Gaurab Bhattacharya, Kuruvilla Abraham, Nikhil Kilari, V. B. Lakshmi, J. Gubbi

引用次数: 2

On Comparison of Encoders for Attention based End to End Speech Recognition in Standalone and Rescoring Mode 基于注意力的端到端语音识别独立模式和记分模式的编码器比较

2022 IEEE International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2022-06-26 DOI: 10.1109/SPCOM55316.2022.9840823

Raviraj Joshi, Subodh Kumar

{"title":"On Comparison of Encoders for Attention based End to End Speech Recognition in Standalone and Rescoring Mode","authors":"Raviraj Joshi, Subodh Kumar","doi":"10.1109/SPCOM55316.2022.9840823","DOIUrl":"https://doi.org/10.1109/SPCOM55316.2022.9840823","url":null,"abstract":"The streaming automatic speech recognition (ASR) models are more popular and suitable for voice-based applications. However, non-streaming models provide better performance as they look at the entire audio context. To leverage the benefits of the non-streaming model in streaming applications like voice search, it is commonly used in second pass re-scoring mode. The candidate hypothesis generated using steaming models is re-scored using a non-streaming model.In this work, we evaluate the non-streaming attention-based end-to-end ASR models on the Flipkart voice search task in both standalone and re-scoring modes. These models are based on Listen-Attend-Spell (LAS) encoder-decoder architecture. We experiment with different encoder variations based on LSTM, Transformer, and Conformer. We compare the latency requirements of these models along with their performance. Overall we show that the Transformer model offers acceptable WER with the lowest latency requirements. We report a relative WER improvement of around 16% with the second pass LAS rescoring with latency overhead under 5ms. We also highlight the importance of CNN front-end with Transformer architecture to achieve comparable word error rates (WER). Moreover, we observe that in the second pass re-scoring mode all the encoders provide similar benefits whereas the difference in performance is prominent in standalone text generation mode.","PeriodicalId":246982,"journal":{"name":"2022 IEEE International Conference on Signal Processing and Communications (SPCOM)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132631996","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

Channel estimation for double IRS assisted broadband single-user SISO communication 双IRS辅助宽带单用户SISO通信的信道估计

2022 IEEE International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2022-04-19 DOI: 10.1109/SPCOM55316.2022.9840513

Vishnu Karthikeya Gorty

{"title":"Channel estimation for double IRS assisted broadband single-user SISO communication","authors":"Vishnu Karthikeya Gorty","doi":"10.1109/SPCOM55316.2022.9840513","DOIUrl":"https://doi.org/10.1109/SPCOM55316.2022.9840513","url":null,"abstract":"In this paper, two Intelligent reflecting surfaces (double IRS) assisted single-user single input single output (SISO) communication system is considered. The cascaded channels (mobile user (MU) $rightarrow$ IRS$- 1 rightarrow$ base station (BS), MU $rightarrow$ IRS$- 2 rightarrow$ BS and MU $rightarrow$ IRS$- 1 rightarrow$ IRS$- 2 rightarrow$ BS channels) are estimated under Bayesian setting. Here, the goal is to evaluate the performance of the estimator in case of MU $rightarrow$ IRS$- 1 rightarrow$ BS and MU $rightarrow$ IRS$- 2 rightarrow$ BS channel links using Bayesian Cramér-Rao lower bound (CRLB). Without the knowledge of closed form pdf of inner product of circularly symmetric complex Gaussian (CSCG) random vectors, we cannot obtain the fisher information. Hence, by numerical computation we obtain the Bayesian CRLB. In the simulation results, we show that we can approximate the pdf of the inner product of CSCG random vectors by a Rayleigh distribution by increasing the number of elements on the IRS, which is analogous to Central Limit Theorem (CLT). Also, the results convey that the mean squared error (MSE) almost matches with the Bayesian CRLB.","PeriodicalId":246982,"journal":{"name":"2022 IEEE International Conference on Signal Processing and Communications (SPCOM)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126068953","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

A Feedback Capacity-Achieving Coding Scheme for the (d, ∞)-RLL Input-Constrained Binary Erasure Channel (d，∞)-RLL输入约束二进制擦除信道的反馈容量实现编码方案

2022 IEEE International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2022-04-14 DOI: 10.48550/arXiv.2204.06780

V. Rameshwar, N. Kashyap

引用次数: 0