How does Hausa Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology converts spoken words into text using machine learning algorithms that analyze audio signals and recognize patterns in voice.
- Language Modeling. Language modeling helps predict the sequence of words and phrases in Hausa, improving the accuracy of the transcribed text.
- Acoustic Modeling. Acoustic modeling maps audio signals to phonemes, allowing the system to interpret different sounds of the Hausa language accurately.
- Natural Language Processing (NLP). NLP techniques are employed to understand context and semantics in Hausa, enabling the generation of coherent and contextually relevant text.