Web-Based Automatic Language Identification System
Keywords:
GMM, language identification, MFCC, SDC.Abstract
Language Identification (LID) is the automated
process of identifying what language is being spoken from a sample of speech by an unknown speaker. In this work we present a web-based LID system using Shifted Delta Cepstral (SDC) features derived from Mel-Frequency Cepstral Coefficients to gather relevant acoustic information from speech signals, and Gaussian Mixture Models (GMM) as a classifier. Speech corpora comprising four languages (English, Spanish, French and German) were made up of recordings from audio
media found on the Internet. A web implementation was done using up-to-date web technologies with GNU Octave running on the server side to perform numerical computations. Results showed a system accuracy ranging from 72.5% to up to 80% depending on the duration of speech test segments.
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