Multi-Language ASR with Transformers

Computer Engineering

Multilanguage Automatic Speech Recognition (ASR) is a pivotal technology that has revolutionized the way spoken language is transcribed and understood across diverse languages and dialects. Much like its counterpart in character recognition, Optical Character Recognition, multilanguage ASR plays a pivotal role in various domains such as customer support, transcription services, and international business communications. However, traditional ASR systems have grappled with challenges, particularly in handling noisy or accented speech, as well as recognizing languages and dialects beyond the English language. The advent of deep learning, especially with the incorporation of transformer-based models, has ushered in a new era of multilanguageASR. Leveraging state-of-the-art models like the Transformer, ASR systems can now seamlessly transcribe and understand a multitude of languages and dialects, overcoming the limitations of previous methods. This breakthrough technology has far-reaching applications in global communication, making it an indispensable tool for multilanguage societies, international corporations, and the ever-expanding digital world.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.