End-to-End Speech Recognition

End-to-End Speech Recognition is a process where a computer system directly converts spoken language into written text in a single step. Unlike traditional methods that break down recognition into multiple parts, this approach uses advanced neural networks to learn the entire task—from audio signal to text—simultaneously. This simplifies the process, reduces errors, and often improves accuracy, enabling applications like voice assistants and transcription services to understand and transcribe speech more naturally and efficiently.