Cross Entropy Information Metric for Quantification and Cluster Analysis of Accents
نویسندگان
چکیده
This paper proposes a method for the measurement and quantification of the impact of accents on speech models. An accent metric is introduced based on the cross entropy (CE) of the probability models of speech from different accents. The CE metric has potentials for use in analysis, identification, quantification and ranking of the salient features of accents. The accent metric is used for phonetic-tree cluster analysis of phonemes, for cross-accent phonetic clustering and for quantification of the distances of phonetic sounds in different English accents. Experimental evaluation presented quantifies the effect of American, British and Australian accents on acoustic realisation of phonemes.
منابع مشابه
Cross-entropic comparison of formants of British, Australian and American English accents
This paper highlights the differences in spectral features between British, Australian and American English accents and applies the cross-entropy information measure for comparative quantification of the impacts of the variations of accents, speaker groups and recordings on the probability models of spectral features of phonetic units of speech. Comparison of the cross entropies of formants and...
متن کاملACCDIST: a metric for comparing speakers' accents
This paper introduces a new metric for the quantitative assessment of the similarity of speakers' accents. The ACCDIST metric is based on the correlation of inter-segment distance tables across speakers or groups. Basing the metric on segment similarity within a speaker ensures that it is sensitive to the speaker’s pronunciation system rather than to his or her voice characteristics. The metric...
متن کاملComparative Analysis of Formants of British, American and Asutralian Accents
This paper compares and quantifies the differences between formants of speech across accents. The cross entropy information measure is used to compare the differences between the formants of the vowels of three major English accents namely British, American and Australian. An improved formant estimation method, based on a linear prediction (LP) model feature analysis and a hidden Markov model (...
متن کاملComparative Analysis of Form and Australia
This paper compares and quantifies the differences between formants of speech across accents. The cross entropy information measure is used to compare the differences between the formants of the vowels of three major English accents namely British, American and Australian. An improved formant estimation method, based on a linear prediction (LP) model feature analysis and a hidden Markov model (...
متن کاملEntropy-based Consensus for Distributed Data Clustering
The increasingly larger scale of available data and the more restrictive concerns on their privacy are some of the challenging aspects of data mining today. In this paper, Entropy-based Consensus on Cluster Centers (EC3) is introduced for clustering in distributed systems with a consideration for confidentiality of data; i.e. it is the negotiations among local cluster centers that are used in t...
متن کامل