3,459 Result(s)
within
English
Data Mining and Knowledge Discovery
Jian** **
Conference Paper
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Chapter and Conference Paper
The Great Importance of Cross-Document Relationships for Multi-document Summarization
Graph-based methods have been developed for multi-document summarization in recent years and they make use of the relationships between sentences in a graph-based ranking algorithm to extract salient sentences...
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Chapter and Conference Paper
Nonlinear Emotional Prosody Generation and Annotation
Emotion is an important element in expressive speech synthesis. The paper makes the brief analysis on prosody parameters, stresses, rhythms and paralinguistic information in different emotional speech, and lab...
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Chapter and Conference Paper
A Novel Method for Rapid Speaker Adaptation Using Reference Support Speaker Selection
In this paper, we propose a novel method for rapid speaker adaptation based on speaker selection, called reference support speaker selection (RSSS). The speakers, who are acoustically close to the test speaker...
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Chapter and Conference Paper
A Robust Voice Activity Detection Based on Noise Eigenspace Projection
A robust voice activity detector (VAD) is expected to increase the accuracy of ASR in noisy environments. This study focuses on how to extract robust information for designing a robust VAD. To do so, we constr...
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Chapter and Conference Paper
Improved Mandarin Speech Recognition by Lattice Rescoring with Enhanced Tone Models
Tone plays an important lexical role in spoken tonal languages like Mandarin Chinese. In this paper we propose a two-pass search strategy for improving tonal syllable recognition performance. In the first pass...
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Chapter and Conference Paper
Planning with Domain Rules Based on State-Independent Activation Sets
In AI planning community, planning domains with derived predicates are very challenging to many planning system. Derived predicate is a new application of domain rules and domain knowledge acquisition. In this...
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Chapter and Conference Paper
Extracting Minimum Unsatisfiable Cores with a Greedy Genetic Algorithm
Explaining the causes of infeasibility of Boolean formulas has practical applications in various fields. We are generally interested in a minimum explanation of infeasibility that excludes irrelevant informati...
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Chapter and Conference Paper
Auditory Contrast Spectrum for Robust Speech Recognition
Traditional speech representations are based on power spectrum which is obtained by energy integration from many frequency bands. Such representations are sensitive to noise since noise energy distributed in a...
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Chapter and Conference Paper
Pitch Mean Based Frequency War**
In this paper, a novel pitch mean based frequency war** (PMFW) method is proposed to reduce the pitch variability in speech signals at the front-end of speech recognition. The warp factors used in this proce...
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Chapter and Conference Paper
Prosodic Word Prediction Using a Maximum Entropy Approach
As the basic prosodic unit, the prosodic word influences the naturalness and the intelligibility greatly. Although the research shows that the lexicon word are greatly different from the prosodic word, the lex...
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Chapter and Conference Paper
Discriminative Transformation for Sufficient Adaptation in Text-Independent Speaker Verification
In conventional Gaussian Mixture Model – Universal Background Model (GMM-UBM) text-independent speaker verification applications, the discriminability between speaker models and the universal background model ...
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Chapter and Conference Paper
Speech Synthesis Based on a Physiological Articulatory Model
In this paper, a framework for speech synthesis is proposed to realize the process of speech production of human, which is based on a physiological articulatory model. Within this framework, it begins with giv...
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Chapter and Conference Paper
Hybrid O( \(n \sqrt{n}\) ) Clustering for Sequential Web Usage Mining
We propose a natural neighbor inspired O( \(n \sqrt{n}\) ) hybrid clustering algorithm that combines medoid-based partiti...
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Chapter and Conference Paper
Non-uniform Kernel Allocation Based Parsimonious HMM
In conventional Gaussian mixture based Hidden Markov Model (HMM), all states are usually modeled with a uniform, fixed number of Gaussian kernels. In this paper, we propose to allocate kernels non-uniformly to...
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Chapter and Conference Paper
Signal Trajectory Based Noise Compensation for Robust Speech Recognition
This paper presents a novel signal trajectory based noise compensation algorithm for robust speech recognition. Its performance is evaluated on the Aurora 2 database. The algorithm consists of two processing s...
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Chapter and Conference Paper
Noisy Speech Recognition Performance of Discriminative HMMs
Discriminatively trained HMMs are investigated in both clean and noisy environments in this study. First, a recognition error is defined at different levels including string, word, phone and acoustics. A high ...
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Chapter and Conference Paper
Motion-Information-Based Video Retrieval System Using Rough Pre-classification
Motion information is the basic element for analyzing video. It represents the change of video on the time-axis and plays an important role in describing the video content. In this paper, a robust motion-based...
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Chapter and Conference Paper
Training Classifiers for Unbalanced Distribution and Cost-Sensitive Domains with ROC Analysis
ROC (Receiver Operating Characteristic) has been used as a tool for the analysis and evaluation of two-class classifiers, even the training data embraces unbalanced class distribution and cost-sensitiveness. H...
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Chapter and Conference Paper
Feature Rich Translation Model for Example-Based Machine Translation
Most EBMT systems select the best example scored by the similarity between the input sentence and existing examples. However, there is still much matching and mutual-translation information unexplored from exa...
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Chapter and Conference Paper
Construct Trilingual Parallel Corpus on Demand
This paper describes the effort of constructing the Olympic Oriented Trilingual Corpus for the development of NLP applications for Bei**g 2008. Designed to support the real NLP applications instead of pure re...
