A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
DICTIONARY LEARNING APPROACHES FOR LANGUAGE IDENTIFICATION
International Journal of Recent Trends in Engineering and Research
The With the growth of global partnership, the demands for communication across the boundaries of language are increasing. This gives rise to new challenges for Automatic Speech Recognition (ASR): before the machine can understand the meaning of the utterance, it must identify which language is being spoken. The task of automatic Language Identification (LID) is to quickly and accurately identify the spoken language being used (e.g. English or Mandarin Chinese).doi:10.23883/ijrter.2017.3147.vutwb fatcat:un4rqvqn4rdv5duw5hps2yogt4