How does Chinese Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology converts spoken language into text by recognizing the voice patterns and phonetics of the language.
- Natural Language Processing (NLP). NLP techniques help in understanding the context and semantics of the spoken words to ensure accurate transcription and interpretation.
- Machine Learning. Machine learning models are trained on vast datasets to improve the accuracy and efficiency of speech recognition in real-time.
- Acoustic Modeling. Acoustic modeling involves creating statistical representations of the sound waves of speech to assist in recognizing spoken words accurately.
