Yakun Hu

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In this paper, we address the speech-based gender identification problem. Mel-Frequency Cepstral Coefficients (MFCC) of voice samples are typically used as the features for gender identification. However, MFCC-based classification incurs high complexity. This paper proposes a novel pitch-based gender identification system with a two-stage classifier to(More)
In this paper, we address the problem of large population speaker identification under noisy conditions. Major techniques for speaker identification is based on Mel-Frequency Cepstral Coefficients (MFCC), Gaussian Mixture Model (GMM) and Universal Background Model (UBM) which we call MFCC+GMM and MFCC+GMM+UBM. The approaches are known to perform very well(More)
Context-Aware Recommender System (CARS) aims to not only recommend services similar to those already rated with the highest score, but also provide opportunities for exploring the important role of temporal, spatial and social contexts for personalized web services recommendation. A key step for temporal-based CARS methods is to explore the time decay(More)
Genome-wide association studies (GWAS) on sporadic Parkinson’s disease (sPD) are mainly conducted in European and American populations at present, and the Han populations of Chinese mainland (HPCM) almost have not been studied yet. Here, we conducted a pooling GWAS combining a pathway analysis with 862,198 autosomal single nucleotide polymorphisms of(More)
Context-Aware Recommender System aims to recommend items not only similar to those already rated with the highest score, but also that could combine the contextual information with the recommendation process. Existing context-aware Web services recommendation methods directly use context as a "filter" to discard services that may conflict with the current(More)
This paper studies security and anti-interference mechanisms in the scenario of multiple WPANs (wireless personal area network) accessing into a HAN (home area network). The WPAN ID authentication is defined to prevent personal devices of non-HAN members from accessing into the WPAN. Different WPANs can be distinguished by allocating different UDS(More)
In today's world Travel and Tourism agencies are growing day by day as the Tourist's are increasing their part in traveling and visiting the different places. The main issue behind the this is the budget and the package selection in the travel and tourism industry because every agency think as if they are best compared to others, so to overcome such(More)
Recent years have witnessed a growing interest in context-aware recommender system (CARS), which explores the impact of context factors on personalized Web services recommendation. Basically, the general idea of CARS methods is to mine historical service invocation records through the process of context-aware similarity computation. It is observed that(More)
In this paper, we propose a novel ubiquitous Web service recommendation approach to context-aware recommendation based on user location update (CASR-ULU). First, we model the influence of user location update based on user preference expansion. Second, we perform the context-aware similarity mining for updated location. Third, we predict the Quality of(More)