This paper introduce the new approach to noise reduction in order to improve the speech intelligibility. The system is proposed with minimum band requirement to approximate psychoacoustic Bark scale and nonuniform filter bank constructed with the use of first order all-pass transformation. Proposed psychoacoustic weighting exploits the well known audible noise reduction rule in case of the 16-b...

This paper investigates the combination of two streams of acoustic features. Extending our previous work on small vocabulary task, we show that combination based on Dempster-Shafer rule outperforms several classical rules like sum, product and inverse entropy weighting even in LVCSR systems. We analyze results in terms of Frame Error Rate and Cross Entropy measures. Experimental framework uses ...

Collaborative research is increasingly important and popular in academic circles. However for young researchers identifying new research collaborators to form joint research and analyzing the level of cooperation of the current partners can be a very complex task. Thus recommendation of new collaborations would be important for young researchers. This paper presents a new approach to recommend ...

In fuzzy rule-based classification systems (FRBCSs), rule weighting has often been used as a simple mechanism to tune the classifier. In past research, a number of heuristic rule weight specification methods have been proposed for this purpose. A learning algorithm based on reward and punishment has also been proposed to adjust the weights of each fuzzy rule in the rule-base. In this paper, a n...

This paper proposes the application of bagging to obtain more robust and accurate predictions using Gaussian process regression models. The training data is re-sampled using the bootstrap method to form several training sets, from which multiple Gaussian process models are developed and combined through weighting to provide predictions. A number of weighting methods for model combination are di...

XML is a markup language which is becoming the standard format for information representation and data exchange. A major purpose of XML is the explicit representation of the logical structure of a document. Much research has been performed to exploit logical structure of documents in information retrieval in order to precisely extract user information need from large collections of XML document...

To solve the invalidation problem of Dempster-Shafer theory of evidence (DS) with high conflict in multi-sensor data fusion, this paper presents a novel combination approach of conflict evidence with different weighting factors using a new probabilistic dissimilarity measure. Firstly, an improved probabilistic transformation function is proposed to map basic belief assignments (BBAs) to probabi...

Grapheme-to-phoneme conversion (G2P), also known as letter-to-sound conversion, is an important module in both speech synthesis and speech recognition. The methods of G2P give varying accuracies for different languages although they are designed to be language independent. This paper discusses a new model based on the pseudo nearest neighbour rule (PNNR) for Indonesian G2P. In this model, a par...

It is widely understood that the performance of the nearest neighbor (NN) rule is dependent on: (i) the way distances are computed between di↵erent examples, and (ii) the type of feature representation used. Linear filters are often used in computer vision as a pre-processing step, to extract useful feature representations. In this paper we demonstrate an equivalence between (i) and (ii) for NN...

On the AURORA-2 task good results at low SNR levels have been obtained with a system that uses state posterior estimates provided by an exemplar-based sparse classification (SC) system. At the same time, posterior estimates obtained with a multilayer perceptron (MLP) yield good results at high SNRs. In this paper, we investigate the effect of combining the estimates from the SC and MLP systems ...