MULTI LINGUAL ASR WITH TRANSFORMERS

MULTI LINGUAL ASR WITH TRANSFORMERS

Mr. ASWIN S, Mr. DHANASEKARAN D, Mr. RAJU C

Department of Artificial Intelligence and Machine Learning Sri Shakthi Institute of

Engineering and

Technology Coimbatore, India

Abstract— Recent research has focused on developing multilingual automatic speech recognition (ASR) systems using Transformer-based models. These models aim to address challenges in training and deploying ASR systems for low- resource languages, adapting to multiple domains and languages, and reducing operational costs. Strategies such as locale-group multilingual Transformer language models, adaptable multi- domain language models, and configurable multilingual models have been proposed to improve the performance and efficiency of multilingual ASR. These advancements demonstrate a concerted effort to overcome the challenges of low-resource languages, domain adaptation, and multilingual speech recognition.