{"title":"Neural network based classification of stressed speech using nonlinear spectral and cepstral features","authors":"M. Sanaullah, M. Chowdhury","doi":"10.1109/NEWCAS.2014.6933978","DOIUrl":"https://doi.org/10.1109/NEWCAS.2014.6933978","url":null,"abstract":"The goal of this research work is to propose two spectral features, namely, the `Bark band spectral energy' and the `significant spectral energy', for the task of stressed speech classification and compare the result with mel frequency cepstrum coefficients (MFCCs) features. It is shown that these two spectral features outperform traditional cepstral (MFCC) features. Spectral energy in 17 bands of frequencies on Bark scale as well as 16 mel-scale warped cepstral coefficients were used independently for classifying stressed speech. The proposed features employ a neural network model based on the Levenberg-Marquardt algorithm. Their observed performance demonstrates the viability of the Bark spectral energy set in stressed speech detection experiment and classifies angry, question, and clear stressed speech conditions. Preliminary results of matching features for a small set of utterances showed correct detection of speech condition in better than 83% of the cases using each set of features from Bark band energy. Significant spectral energy and MFCC features, on the other hand, showed close to 75% correct detection for the same utterances.","PeriodicalId":216848,"journal":{"name":"2014 IEEE 12th International New Circuits and Systems Conference (NEWCAS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131566142","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}
{"title":"Physical design of CNTFET-based circuits for yield improvement","authors":"M. Beste, S. Kiamehr, M. Tahoori","doi":"10.1109/NEWCAS.2014.6933986","DOIUrl":"https://doi.org/10.1109/NEWCAS.2014.6933986","url":null,"abstract":"Carbon Nanotube Field Effect Transistors (CNTFETs) have superior electrical properties and therefore they are promising candidates to replace silicon-based devices in near future. Despite recent approaches to remove metallic CNTs from the inherent mixture of chiralities, the circuits still suffer from this issue. In consequence, the CNTFET device performance is degraded which in turn impacts the circuit yield. This paper proposes a comprehensive framework to analyze the leakage power, delay, and the manufacturing yield of circuits in the presence of metallic CNTs. With the help of our framework, the effect of different factors such as the probability of metallic tubes and the cell layout on the performance metrics is investigated. Moreover, we propose a new layout structure for standard cells to improve the overall yield of the circuit by around 10%.","PeriodicalId":216848,"journal":{"name":"2014 IEEE 12th International New Circuits and Systems Conference (NEWCAS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131811670","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}
{"title":"Fractal-based arteriovenous malformations detection in brain magnetic resonance images","authors":"S. Lahmiri, M. Boukadoum, A. Ieva","doi":"10.1109/NEWCAS.2014.6933975","DOIUrl":"https://doi.org/10.1109/NEWCAS.2014.6933975","url":null,"abstract":"A new fractal-based methodology to detect cerebral arteriovenous malformations (AVM) in brain magnetic resonance images (MRI) is presented. First, the MRI is preprocessed to emphasize edges. Then, the result is split into right and left brain hemisphere components that are converted to one-dimensional signals, for which the Hurst's exponent, the scaling exponent of detrended fluctuation analysis (DFA) and the energy of DFA fluctuations are computed to form a six-component feature vector. Finally, the vector is classified by a support vector machine (SVM). Using ten-fold cross validation and a set of twenty eight normal and twenty eight MR images of patients affected by AVMs, the classification of the corresponding feature vectors by the SVM achieved an accuracy of 98.26%, with a sensitivity of 98.82% and a specificity of 97.69%.","PeriodicalId":216848,"journal":{"name":"2014 IEEE 12th International New Circuits and Systems Conference (NEWCAS)","volume":"13 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133317421","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}
{"title":"On the effect of filter variability in compressive sensing systems","authors":"S. Smaili, Y. Massoud","doi":"10.1109/NEWCAS.2014.6934018","DOIUrl":"https://doi.org/10.1109/NEWCAS.2014.6934018","url":null,"abstract":"In this paper, we study the effect of filter variability in compressive sensing systems. Compressive sensing entails projecting the signal on a set of random signals, which is done by means of mixers and low pass filters. When reconstructing the signal, it is important to have a model for the sensing hardware, hence, the need to mitigate variability effects on the reconstruction process. In order to do that, there is a need for quantifying the effect of variability on reconstruction in order to be able to design compressive sensing systems that are robust to variability.","PeriodicalId":216848,"journal":{"name":"2014 IEEE 12th International New Circuits and Systems Conference (NEWCAS)","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116468162","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}
Imane Malass, W. Uhring, J. L. Normand, N. Dumas, F. Dadouche
{"title":"10-ps Resolution hybrid time to digital converter in a 0.18 μm CMOS technology","authors":"Imane Malass, W. Uhring, J. L. Normand, N. Dumas, F. Dadouche","doi":"10.1109/NEWCAS.2014.6933995","DOIUrl":"https://doi.org/10.1109/NEWCAS.2014.6933995","url":null,"abstract":"This paper presents a new Time to Digital Converter (TDC) design that combines the traditional Analog Time to Amplitude Converter (TAC) and Digital TDC techniques to obtain a very high adjustable time precision that could reach 10ps with a maximum dynamic range of 10 μs a DNL of 0.4 LSB a dead time of 15 ns. The proposed new “hybrid TDC” concept was used to design an array of 8 time interval measurement units for a Time correlated single photon counting(TCSPC) system in a 0.18 μm CMOS technology. The common Delay locked loop (DLL) and coarse counter approach makes the design flexible and easily scalable allowing the conception of larger TDC arrays without the need to implement several DLLs.","PeriodicalId":216848,"journal":{"name":"2014 IEEE 12th International New Circuits and Systems Conference (NEWCAS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123522329","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}
{"title":"FPGA implementation of voice activity detector for efficient speech enhancement","authors":"Mourad Oukherfellah, M. Bahoura","doi":"10.1109/NEWCAS.2014.6934042","DOIUrl":"https://doi.org/10.1109/NEWCAS.2014.6934042","url":null,"abstract":"In this paper, a spectral subtraction method including voice activity detector (VAD), based on short-time energy, is implemented on FPGA for efficient speech enhancement. The proposed architecture is implemented using Xilinx System Generator for DSP and Digilent Nexys-4 board based on Artix-7 FPGA. Performances obtained by spectral subtraction with VAD are compared to those obtained by the one without VAD, using amplitude-modulated additive noise. Required resources and maximum operating frequency are also presented.","PeriodicalId":216848,"journal":{"name":"2014 IEEE 12th International New Circuits and Systems Conference (NEWCAS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124683349","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}
N. Jovanović, O. Thomas, E. Vianello, J. Portal, B. Nikolić, L. Naviner
{"title":"OxRAM-based non volatile flip-flop in 28nm FDSOI","authors":"N. Jovanović, O. Thomas, E. Vianello, J. Portal, B. Nikolić, L. Naviner","doi":"10.1109/NEWCAS.2014.6934003","DOIUrl":"https://doi.org/10.1109/NEWCAS.2014.6934003","url":null,"abstract":"This paper presents a robust OxRAM-based nonvolatile flip-flop (NVFF) solution, designed for deep nano-scaled CMOS technologies. Forming, set and reset operations rely on a reliable design approach using thin gate oxide CMOS. The NVFF is benchmarked against a standard FF in 28nm CMOS FDSOI. Non-volatility is added with minimal impact on the FF performances.","PeriodicalId":216848,"journal":{"name":"2014 IEEE 12th International New Circuits and Systems Conference (NEWCAS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128684307","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}
{"title":"Robust power converters in integrated systems","authors":"Y. Massoud, Shuang Li, S. Smaili","doi":"10.1109/NEWCAS.2014.6934025","DOIUrl":"https://doi.org/10.1109/NEWCAS.2014.6934025","url":null,"abstract":"Integrated DC-DC converters are widely used in the realization of power converters suitable for energy harvesting and computing systems. In such systems, spiral inductors are typically used to achieve high levels of integration and performance. However, the integrated converter with spiral inductor requires careful modeling and optimization to achieve maximum efficiency. In this paper, we provide a parasitic aware design technique that takes into account the spiral inductor resistance as well as the switching parasitics, utilizing numerical techniques in order to yield designs that meet the desired performance requirements.","PeriodicalId":216848,"journal":{"name":"2014 IEEE 12th International New Circuits and Systems Conference (NEWCAS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125481044","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}
Liang Zhou, M. Ariaudo, C. Duperrier, S. Quintanel, E. Bourdel
{"title":"Power adaptive receiver based on wide-band distributed low noise amplifier for home wireless networks","authors":"Liang Zhou, M. Ariaudo, C. Duperrier, S. Quintanel, E. Bourdel","doi":"10.1109/NEWCAS.2014.6934046","DOIUrl":"https://doi.org/10.1109/NEWCAS.2014.6934046","url":null,"abstract":"We propose in this paper a power adaptive zero-IF receiver based on a wide-band Low Noise Amplifier (LNA) dedicated to wireless home communications operating from 0.8GHz to 11GHz. Two different operation modes (low power consumption mode and high performance mode) controlled by bias conditions are applied to this LNA. The bit rate error (BER) estimated by the Q-factor of eye diagram is used as mean to measure the link quality of receiver. We show that by manipulating the two operating modes of the LNA, the receiver's power can be reduced at least by 80% under favorable communication scenarios.","PeriodicalId":216848,"journal":{"name":"2014 IEEE 12th International New Circuits and Systems Conference (NEWCAS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114065875","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}
{"title":"Advanced modeling technique for bandpass continuous-time delta-sigma modulators","authors":"M. Honarparvar, R. Landry, F. Nabki, M. Sawan","doi":"10.1109/NEWCAS.2014.6934052","DOIUrl":"https://doi.org/10.1109/NEWCAS.2014.6934052","url":null,"abstract":"Transistor-level simulations of complex circuits such as delta-sigma modulators (DSMs) that are used to generate highly accurate results are time consuming because of the nonlinear and switched nature of such systems. Therefore, high-level system modeling is required to reduce the simulation time and allow for effective initial design or successive iterations between system-level and transistor-level simulations. Accordingly, a precise behavioral modeling technique for radiofrequency (RF) continuous time (CT) DSM is presented. The main contribution of this work is the differential nature of the RF CT-DSM model in MATLAB such that is it suited for co-simulation in a circuit simulator environment. The modeling technique and simulation methodology are demonstrated toward the implementation of a 4th order RF CT-DSM in MATLAB/SIMULINK environment and a description for each block is provided.","PeriodicalId":216848,"journal":{"name":"2014 IEEE 12th International New Circuits and Systems Conference (NEWCAS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121372653","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}