A Comparative Study on Feature Extraction Techniques for Language Identification
نویسندگان
چکیده
— This paper presents a brief survey of feature extraction techniques used in language identification (LID) system. The objective of the language identification system is to automatically identify the specific language from a spoken utterance. Also the LID system must perform quickly and accurately. To fulfill this criteria the extraction of the features of acoustic signals is an important task because LID mainly depends on the language-specific characteristics. The efficiency of this feature extraction phase is important since it strongly affects the performance and quality of the system. There are different features which are used in LID are cepstral coefficients, MFCC, PLP, RASTA-PLP, etc. Keywords— LID (Language Identification), feature extraction, LPC, Cepstral analysis, MFCC, PLP, RASTA-PLP.
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