How does Yoruba Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology identifies and processes spoken language to convert it into text using algorithms and machine learning.
- Natural Language Processing (NLP). NLP methodologies are deployed to understand the context and nuances of the Yoruba language, improving transcription accuracy.
- Deep Learning Models. Deep learning frameworks are employed to train models on large datasets of spoken Yoruba, enhancing the system's ability to recognize diverse accents and dialects.
- Phonetic Analysis. This technique examines the sounds of the Yoruba language to accurately transcribe phonemes into text.