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A Probabilistic Approach to Syntactic Variation in Biblical Hebrew ...
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A Probabilistic Approach to Syntactic Variation in Biblical Hebrew ...
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Characterizing Deletion Transformations across Dialects using a Sophisticated Tying Mechanism
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In: DTIC (2011)
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Soft Uncoupling of Markov Chains for Permeable Language Distinction: A New Algorithm
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In: ECAI 2006: 17th European Conference on Artificial Intelligence ; 17th European Conference on Artificial Intelligence (ECAI 2006) ; https://hal.archives-ouvertes.fr/hal-00327782 ; 17th European Conference on Artificial Intelligence (ECAI 2006), Aug 2006, Riva del Garda, Italy. ISBN 1-58603-642-3, p. 823-824 (2006)
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Speaker Segmentation and Clustering Using Gender Information
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In: DTIC (2006)
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Analysis of a Synonymy Network EPFL IC Faculty Internal
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In: http://liawww.epfl.ch/Publications/Archive/Gfeller2004.pdf (2004)
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Audio Indexing Using Speaker Identification
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In: http://www.parc.xerox.com/istl/members/kimber/papers/kimber/Audio_Index.ps (1994)
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Abstract:
In this paper, a technique for audio indexing based on speaker identification is proposed. When speakers are known a priori, a speaker index can be created in real time using the Viterbi algorithm to segment the audio into intervals from a single talker. Segmentation is performed using a hidden Markov model network consisting of interconnected speaker sub-networks. Speaker training data is used to initialize sub-networks for each speaker. Sub-networks can also be used to model silence, or non-speech sounds such as a musical theme. When no prior knowledge of the speakers is available, unsupervised segmentation is performed using a nonreal time iterative algorithm. The speaker sub-networks are first initialized, and segmentation is performed by iteratively generating a segmentation using the Viterbi algorithm, and retraining the sub-networks based on the results of the segmentation. Since the accuracy of the speaker segmentation depends on how well the speaker sub-networks are initialize.
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Keyword:
agglomerative clustering; audio indexing; hidden Markov models; speaker identification; speaker index; speaker segmentation; speech retrieval
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URL: http://www.parc.xerox.com/istl/members/kimber/papers/kimber/Audio_Index.ps http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.46.5263
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14 |
Research on Narrowband Communications.
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In: DTIC AND NTIS (1982)
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Research on Narrowband Communications
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In: DTIC AND NTIS (1981)
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Research on Narrowband Communications
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In: DTIC AND NTIS (1980)
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APPLICATION OF RHETORICAL RELATIONS BETWEEN SENTENCES TO CLUSTER-BASED TEXT SUMMARIZATION
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In: http://airccj.org/CSCP/vol5/csit53307.pdf
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