Negative and uncertain expressions widely exist in natural language. Negation and uncertainty identification has become an important task in computational linguistics community. Lacking of corpus hinders the developme...
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The Long Term Evolution (LTE) system is the evolution of Universal Mobile Telecommunications System (UMTS). The LTE system is now increasingly being deployed throughout the world. Therefore, the security of the LTE sy...
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We present a method for automatic microphone localization in ad-hoc microphone arrays. The localization is based on time-of-arrival (TOA) measurements obtained from spatially distributed acoustic events. In practice, ...
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ISBN:
(纸本)9781479903573
We present a method for automatic microphone localization in ad-hoc microphone arrays. The localization is based on time-of-arrival (TOA) measurements obtained from spatially distributed acoustic events. In practice, measured TOAs are an incomplete representation of the true TOAs due to unknown onset times of the acoustic events and internal delays in the capturing devices and make the localization problem insoluble if not addressed appropriately. The main contribution of the proposed method is an algorithm that identifies and corrects for such internal delays and acoustic event onset times in the measured TOAs. Experimental results using both simulated and real-world data demonstrate the performance of the method and highlight the significance of correct estimation of the internal delays and onset times.
Polarity shifting has been a challenge to automatic sentiment classification. In this paper, we create a corpus which consists of polarity-shifted sentences in the product reviews, where both the sentimental words and...
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In this paper, a novel Hessenberg-based input balanced realization for all-pass systems is derived. The expression of roundoff noise gain for this structure is obtained. An Nth order system implemented with a coupled ...
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In this paper, we devote to present a fuzziness-preserving attribute reduction in fuzzy rough set framework. Through constructing the membership function of an object, we first introduce a fuzzy measure to assess the ...
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With the development of VoIP (Voice over IP) service, there is an emerging need to speech compression, particularly for digital speech communication and biometric speaker recognition (SR) systems. This paper presents ...
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ISBN:
(纸本)9781479902842
With the development of VoIP (Voice over IP) service, there is an emerging need to speech compression, particularly for digital speech communication and biometric speaker recognition (SR) systems. This paper presents results issued from Universal Background Gaussian Mixture Model (GMM UBM) based SR system, that is trained and tested on clean and G729 resynthesized speech. To overcome the performance loss due to the G729 codec, residual signal extracted from clean and G729 resynthesized database is used. To get better the performance, we investigated score fusion strategies based on Logistic Regression (LR). The first fusion based on GMM UBM score using LFCC (Linear Frequency Cepstrum Coefficients) and LFCC extracted from LP (Linear Prediction) residual signal. The second used the LFCC extracted from G729 resynthesized speech and its LP residual signal. The best performance is obtained by Logistic Regression (LR) fusion. The correct rate in the first case is 95% based baseline system and 83% based G729 resynthesized speech in the second case. The obtained results, using TIMIT database, have proven the efficiency of data fusion techniques for automatic speaker recognition.
Event argument extraction is an important component of event extraction which plays a decisive role in whether event extraction can be applied to the actual. This paper proposes a method of event argument extraction b...
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Chinese sentence segmentation is considered to be a very fundamental step in natural language processing. A successful solution for sentence boundary detection is a key step in the subsequent NLP tasks, such as parsin...
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In this paper,we derive the average symbol error rate(SER) for the ND-symbol burst hybrid adaptive decodeor-amplify-forward(HADF) relaying vehicle-to-infrastructure(V2I) communication systems over quasi-static indepen...
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In this paper,we derive the average symbol error rate(SER) for the ND-symbol burst hybrid adaptive decodeor-amplify-forward(HADF) relaying vehicle-to-infrastructure(V2I) communication systems over quasi-static independent and non-identical distributed(INID) Rayleigh fading *** proposed analytical approach includes channel estimation(CE)errors generated by practical pilot symbol assisted-CE(PSACE) ***,based on the error-events at relaying on board equipments(OBEs) for ND-symbol burst data transmission,the conditional SER expression has been derived as an exact ***,the approximated average SER(ASER)expressions are presented as the closed-forms and their accuracy is confirmed by the comparison with simulation ***,we can conclude that our analytical expressions are tractable forms,and can be used as a tool to verify effects of an erroneous detection and hybrid transmission at each relaying OBE on the combined signal-to-noise ratio(SNR) and ASER for cooperative HADF relaying communication systems.
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