How does Igbo Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology captures audio input, processes it, and converts the sound waves into text through algorithms and neural networks.
- Machine Learning. Machine learning techniques enable the system to learn from vast amounts of speech data, improving accuracy in recognizing Igbo words and phrases over time.
- Natural Language Processing (NLP). NLP applies linguistic analysis to interpret the structured text output, ensuring that the recognized words are contextually relevant in Igbo.
- Acoustic Modelling. Acoustic modelling represents the relationship between phonetic units and audio signals, enhancing the system's ability to interpret different Igbo dialects accurately.
