How does Shona Speech To Text work?
- Acoustic Modeling. This technique involves analyzing audio signals to identify phonemes in the Shona language, forming the basis for accurate transcription.
- Language Modeling. Language models predict the likelihood of word sequences, ensuring that the transcribed text is grammatically correct and contextually relevant.
- Speech Recognition. This process involves detecting spoken words and converting them into text, utilizing deep learning to improve accuracy over time.
- Natural Language Processing (NLP). NLP techniques are employed to enhance understanding and processing of the transcribed text, allowing for better handling of nuanced Shona expressions.
