How does Telugu Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology analyzes audio signals and converts them into text by recognizing phonemes and words.
- Deep Learning Models. These models are trained on vast datasets of spoken Telugu to improve accuracy in recognition and transcription.
- Natural Language Processing (NLP). NLP techniques are applied to understand context and meaning, facilitating better transcription of spoken content.
- Voice Training. Users can often provide voice samples to improve the system's understanding of individual speech patterns.