How does Haitian creole Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technologies analyze audio input, recognizing phonemes and converting them to text.
- Language Modeling. Language models predict word sequences to improve accuracy in transcription based on linguistic patterns specific to Haitian Creole.
- Training Data Utilization. Machine learning algorithms utilize large datasets of spoken Haitian Creole to enhance the system's understanding and transcription capabilities.
- Noise Cancellation. Techniques to minimize background noise ensure clearer audio input, leading to more accurate speech recognition.
