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Many existing speaker verification systems are reported to be vulnerable against different spoofing attacks, for example speech synthesis, voice conversion, play back, etc. In order to detect these spoofed speech signals as a countermeasure, we propose a score level fusion approach with several different i-vector subsystems. We show that the acoustic level Mel-frequency cepstral coefficients (MFCC)...
This paper presents an automatic non-native accent assessment approach using phonetic level posterior and duration features. In this method, instead of using conventional MFCC trained Gaussian Mixture Models (GMM), we use phonetic phoneme states as tokens to calculate the posterior probability and zero-oder Baum-Welch statistics. Phoneme recognizers from five languages are employed to extract phonetic...
The paper proposes a novel method to determine sentence similarities. First two compared sentences are parsed by shallow-parsing and all noun phrases, verb phrases and preposition phrases of each sentence are extracted. Then the similarity between each kind of phrases is calculated based on a semantic vector method. The overall sentence similarity is defined as a combination of semantic similarities...
Textual entailment recognition (RTE) is one of the fundamental problems in many natural language processing applications. This paper proposes a new method for lexical entailment measure which is based on exploiting the information in the WordNet glosses. Further we perform textual entailment recognition based on this method and cast the RTE problem to be a classification problem. The experimental...
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