Cencen Zhong

Learn More
Recently, concept correlation defining the relationship between concepts has been playing an important role in video annotation (or concept detection). To improve the annotation performance, this paper presents a two-view concept correlation based video annotation refinement, using data-specific spatial and temporal concept correlations. Specifically,(More)
Seeing that probabilistic Latent Semantic Analysis (pLSA) deals with discrete quantity only, pLSA with Gaussian Mixtures (GM-pLSA) extends it to continuous feature space by treating continuous feature as continuous word. However, GM-pLSA does not provide a clear way of modeling multimodal features, and also neglects the intrinsic correlation between these(More)
As an essentially multi-label classification problem, audio concept detection is normally solved by treating concepts independently. Since in this process the original useful concept correlation information is missing, this paper proposes a new model named Correlated-Aspect Gaussian Mixture Model (C-AGMM) to take advantage of such a clue for enhancing(More)
For video annotation refinement, a reasonable concept correlation representation is crucial. In this paper, we present a data-specific concept correlation estimation procedure for this task, where the resulting correlation with respect to each data encodes both its visual and high-level characteristics. Specifically, this procedure comprises two major(More)
As standard probabilistic latent semantic analysis (pLSA) is oriented to discrete quantity only, pLSA with Gaussian mixtures (GM-pLSA) succeeding in transferring it to continuous feature space is proposed, which uses Gaussian mixture model to describe the feature distribution under each latent aspect. However, inheriting from pLSA, GM-pLSA still overlooks(More)
This paper establishes a speaker-independent pronunciation recognition and assessment system with 673 words for mandarin Chinese under the background of a Chinese learning system framework. The recognition part is based on HTK using HMM (Hidden Markov Models) and improved in the aspect of acoustic model. Making use of the recognition results and the(More)
The rapid development of speech processing technology provides a potential for speech retrieval. This paper designs and implements a content-based Chinese speech document retrieval system using keyword spotting and text classification. In this system, a segment of unknown spontaneous speech will be converted into a series of keywords and then classified(More)
  • 1