Speech normalization is a technology that converts spoken language, dialects, filler words and informal speech into clear standard language. This process improves translation accuracy and communication clarity.
OTONOHA.LIVE applies AI-based speech normalization before translation. This allows speech recognition systems to process spoken language more accurately across many languages.
Speech input is first captured through voice recognition. The system then removes filler words, corrects grammar and converts dialect expressions into standard language before translation.
Normalizing spoken language significantly improves translation quality because the translation engine receives clean and structured text.