In the recent years the technology for speaker verification or call authentication has received an increasing amount of attention in IVR industry. However due to the complexity of speaker information embedded in the speech signals the current technology still can not produce the verification accuracy to meet the requirement for some applications. In this paper we introduce a new pattern classif...

The noisy short utterance is polluted by noise and corpus is less, so the recognition rate significantly decreased. For improving recognition rate, we proposed the dual information quality discrimination algorithm to classify the speech frames: one is differences detection and discrimination algorithm (DDADA), another is the improved SNR discrimination algorithm (ISNRDA). Based on the above two...

In this paper, we present a speech enhancement technique based on the ambient noise classification that incorporates the Gaussian mixture model (GMM). The principal parameters of the statistical modelbased speech enhancement algorithm such as the weighting parameter in the decision-directed (DD) method and the long-term smoothing parameter of the noise estimation, are set according to the class...

Sustainable agricultural production is mainly attributed to healthy soils. Calcareous soils, especially in arid and semiarid areas, suffer from low organic matter nutrient availability. Low could degrade soil with reducing the crop productivity. Thus, present study aimed assess integrated effect of mulch irrigation on activity, availability, potentiality corn yield under calcareous conditions. ...

This paper considers the bootstrap for the GMM estimator of overidentified linear models when autocorrelation structures of moment functions are unknown. When moment functions are uncorrelated after finite lags, Hall and Horowitz, [1996. Bootstrap critical values for tests based on generalized method of moments estimators. Econometrica 64, 891–916] showed that errors in the rejection probabilit...

This contribution reports on the performance of systems for polyphonic acoustic event detection (AED) compared within the framework of the “detection and classification of acoustic scenes and events 2016” (DCASE’16) challenge. State-of-the-art Gaussian mixture model (GMM) and GMM-hidden Markov model (HMM) approaches are applied using Mel-frequency cepstral coefficients (MFCCs) and Gabor filterb...

In this paper we examine the link between stock market uncertainty and monetary policy in the US. There are strong arguments why central banks should account for stock market uncertainty in their strategy. Amongst others, they can maintain the functioning of financial markets and moderate possible economic downswings. To describe the behavior of the Federal Reserve Bank, augmented forward-looki...

Spatial Decentralization and Program Evaluation: Theory and an Example from Indonesia This paper proposes a novel instrumental variable method for program evaluation that only requires a single cross-section of data on the spatial intensity of programs and outcomes. The instruments are derived from a simple theoretical model of government decision-making in which governments are responsive to t...

This article addresses error detection in broadcast news automatic transcription, as a post-processing stage. Based on the observation that many errors appear in bursts, we investigated the use of Markov Chains (MC) for their temporal modelling capabilities. Experiments were conducted on a large Amercian English broadcast news corpus from NIST. Common features in error detection were used, all ...

In this paper, we propose a method to analyze gender of the pedestrian and whether he or she has a baggage or not in a public space. The challenging part of this work is we only use top-view camera images to protect the pedestrians’ privacy. We focused on temporal changes in their position, shape, and contours over the frames because their appearances do not provide much information. We extract...