Review: Multilingual Acoustic modeling of Automatic Speech Recognition(ASR) for low resource languages

Abstract

Multilingual Automatic Speech Recognition Systems survey. Multilingual speech recognition is a new era of speech and Natural language tool research to facilitate the integrates of many Monolingual system techniques that have been developed using recent methods to address the unique challenge of the multilingual field. What are techniques hidden Markov model (HMM), Gaussian Mixture Model (GMM), Deep Learning (DL) have been used so far and increasing database usage for Multilingual speech processing has become a topic of ongoing interest to a researcher for several years, and the field is now attracting increased attention due to strong drivers of change? Multilingual Speech Recognition. Speech technology is an emerging technology and monolingual automatic speech recognition has made progress in recent years, but many researchers are drawn to multilingual speech recognition. Ideally, speech from different languages should be transcribed by a multilingual speech identifier, which determines both the language used and the series of words spoken by the speaker.