DICTIONARY LEARNING APPROACHES FOR LANGUAGE IDENTIFICATION

2017 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