How does Hmong Speech To Text work?
- Automatic Speech Recognition (ASR). ASR converts spoken Hmong language into text using algorithms that analyze audio signals.
- Machine Learning Models. These models are trained on large datasets of spoken Hmong to improve accuracy and understanding of varied accents and dialects.
- Natural Language Processing (NLP). NLP technologies help interpret the structure and semantics of spoken Hmong for more precise transcription.
- Voice Activity Detection (VAD). VAD identifies when speech is present in audio to accurately process and segment spoken language.