How does Khmer Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology analyzes audio recordings of spoken language, identifying and converting phonetic sounds into text.
- Natural Language Processing (NLP). NLP techniques are used to interpret and understand the meaning of the transcribed text, improving accuracy and context.
- Machine Learning. Machine learning algorithms are trained on vast datasets to enhance the system's ability to recognize diverse accents and pronunciations in Khmer.
- Acoustic Modeling. This method involves creating statistical representations of the sounds in the Khmer language, allowing for better sound recognition.
