Language identification from short segments of speech
نویسندگان
چکیده
Automatic language identi cation (LID) from the spoken speech utterance is a challenging problem. In this paper, we present an LID system that works for South Indian languages and Hindi. Each language is modeled using an approach based on Vector Quantisation [1]. The speech is segmented into di erent sounds (CVs) and the performance of the system on each of the segments is studied. Our studies indicate that the presence of some CVs is crucial for each language. We also nd that for the same Consonant and Vowel (CV) combination, the quality of the sound is di erent in di erent languages. We show that once the speech signal is segmented into CVs, it is possible to perform LID on very short segments (100-150ms) of speech itself.
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