Emotion recognition from speech data is an active and emerging area of research that plays an important role in numerous applications,such as robotics,virtual reality,behavior assessments,and emergency call ***,resear...
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Emotion recognition from speech data is an active and emerging area of research that plays an important role in numerous applications,such as robotics,virtual reality,behavior assessments,and emergency call ***,researchers have developed many techniques in this field in order to ensure an improvement in the accuracy by utilizing several deep learning approaches,but the recognition rate is still not *** main aim is to develop a new technique that increases the recognition rate with reasonable cost *** this paper,we suggested a new technique,which is a one-dimensional dilated convolutional neural network(1D-DCNN)for speech emotion recognition(SER)that utilizes the hierarchical features learning blocks(HFLBs)with a bi-directional gated recurrent unit(BiGRU).We designed a one-dimensional CNN network to enhance the speech signals,which uses a spectral analysis,and to extract the hidden patterns from the speech signals that are fed into a stacked one-dimensional dilated network that are called *** HFLB contains one dilated convolution layer(DCL),one batch normalization(BN),and one leaky_relu(Relu)layer in order to extract the emotional features using a hieratical correlation ***,the learned emotional features are feed into a BiGRU in order to adjust the global weights and to recognize the temporal *** final state of the deep BiGRU is passed from a softmax classifier in order to produce the probabilities of the *** proposed model was evaluated over three benchmarked datasets that included the IEMOCAP,EMO-DB,and RAVDESS,which achieved 72.75%,91.14%,and 78.01%accuracy,respectively.
Down Syndrome (DS) is a genetic disorder causing intellectual disability and developmental delays. Despite instances of discrimination, several individuals with DS have achieved success through proper education and co...
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There have been many different forms of evolution-ary algorithms (EAs) designed by humans over the past 50 years, with many variants optimized for specific classes of problems. As computational resources grow, the aut...
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As urban traffic continues to grow at a swift pace and road congestion intensifies, shared bicycles have increasingly caught the public’s attention. Utilizing shared bicycles has emerged as a mode of transportation t...
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During the operation of nuclear reactors, many radioisotopes are generated by neutron activation. Therefore, activation calculation and analysis play a key role in reactor shielding design and shutdown maintenance. In...
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ISBN:
(纸本)9789811988981
During the operation of nuclear reactors, many radioisotopes are generated by neutron activation. Therefore, activation calculation and analysis play a key role in reactor shielding design and shutdown maintenance. In this paper, the transport-activation coupling capability in fixed source mode was developed based on Monte Carlo particle transport code cosRMC. The transport-activation coupling capability of cosRMC has the following characteristics: the internal coupling of transport and activation was implemented through the built-in burnup solver Depth. Compared to traditional Monte Carlo-activation codes with the external coupling, internal coupling mode calculates the activation-related one group reaction cross sections of different nuclides during the neutron transport process, and the external transmission of neutron energy spectrum to activation code was unnecessary. The internal coupling mode was more efficient and flexible. By directly using continuous energy cross section to calculate one group cross sections, the pre-processing of energy spectrum related multi-group cross section was no longer required, which improves the accuracy and versatility. The transport-activation coupling capability of cosRMC was applied to a test case of iron cube model and compared with the activation code ALARA. The results of cosRMC are in good agreement with those of ALARA, which preliminarily verified the correctness of the transport-activation coupling capability of cosRMC. On this basis, the results in different conditions including constant/variable energy spectrum and continuous energy/multi-group cross section are compared and analyzed. The results showed that the reaction rates in the case of variable energy spectrum are significantly higher than those in the case of constant energy spectrum, indicating that the change of energy spectrum has a significant effect on the calculation results. The comparison between the results of continuous energy and multi-group cross se
Time-series data provide important information in many fields,and their processing and analysis have been the focus of much ***,detecting anomalies is very difficult due to data imbalance,temporal dependence,and ***,m...
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Time-series data provide important information in many fields,and their processing and analysis have been the focus of much ***,detecting anomalies is very difficult due to data imbalance,temporal dependence,and ***,methodologies for data augmentation and conversion of time series data into images for analysis have been *** paper proposes a fault detection model that uses time series data augmentation and transformation to address the problems of data imbalance,temporal dependence,and robustness to *** method of data augmentation is set as the addition of *** involves adding Gaussian noise,with the noise level set to 0.002,to maximize the generalization performance of the *** addition,we use the Markov Transition Field(MTF)method to effectively visualize the dynamic transitions of the data while converting the time series data into *** enables the identification of patterns in time series data and assists in capturing the sequential dependencies of the *** anomaly detection,the PatchCore model is applied to show excellent performance,and the detected anomaly areas are represented as heat *** allows for the detection of anomalies,and by applying an anomaly map to the original image,it is possible to capture the areas where anomalies *** performance evaluation shows that both F1-score and Accuracy are high when time series data is converted to ***,when processed as images rather than as time series data,there was a significant reduction in both the size of the data and the training *** proposed method can provide an important springboard for research in the field of anomaly detection using time series ***,it helps solve problems such as analyzing complex patterns in data lightweight.
One of the several malignancies that can afflict humans and spread the fastest is skin cancer. The most and most serious kind of skin cancer, melanoma typically starts out on the skin's surface before spreading de...
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Existing anomaly detection is mostly based on abnormal traffic and statistical analysis, but the structural information of the attacker's network is also of great significance to anomaly detection. We convert the ...
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Dialogue policy trains an agent to select dialogue actions frequently implemented via deep reinforcement learning (DRL). The model-based reinforcement methods built a world model to generate simulated data to alleviat...
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Since its launch in 2014,Amazon Echo family of devices has seen a considerable increase in adaptation in consumer homes and *** a market worth millions of dollars,Echo is used for diverse tasks such as accessing onlin...
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Since its launch in 2014,Amazon Echo family of devices has seen a considerable increase in adaptation in consumer homes and *** a market worth millions of dollars,Echo is used for diverse tasks such as accessing online information,making phone calls,purchasing items,and controlling the smart *** offers user-friendly voice interaction to automate everyday tasks making it a massive *** many people view Amazon Echo as a helpful assistant at home or office,few know its underlying security and privacy *** this paper,we present the findings of our research on Amazon Echo’s security and privacy *** findings are divided into different categories by vulnerability or *** proposed mitigation(s)to the vulnerabilities are also presented in the *** conclude that though numerous privacy concerns and security vulnerabilities associated with the device are mitigated,many vulnerabilities still need to be addressed.
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