Audio classification for blackfoot language analysis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Blackfoot is an endangered Native American language. It is important to document this language and with it, the Blackfoot culture. In this paper, an effective subspace-based concept mining framework (SCM) is used to help Blackfoot language analysis via audio classification. The core of SCM is a subspace based modeling, classification and decision fusion mechanism which is applied to the audio features for pattern discovery. It adaptively selects non-consecutive principal dimensions to form an accurate modeling of a representative subspace based on statistical information analysis and refines the training data set via self-learning. After the classification process, a decision fusion process is applied to traverse the results from individual classifiers and to boost classification accuracy.

Original languageEnglish
Title of host publicationRecent Advances in Computer Science and Information Engineering
Number of pages6
EditionVOL. 1
StatePublished - 2012
Event2nd World Congress on Computer Science and Information Engineering, CSIE 2011 - Changchun, China
Duration: Jun 17 2011Jun 19 2011

Publication series

NameLecture Notes in Electrical Engineering
NumberVOL. 1
Volume124 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


Conference2nd World Congress on Computer Science and Information Engineering, CSIE 2011


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