How does Turkish Speech To Text work?
- Acoustic Modeling. This method involves analyzing audio signals to identify phonetic sounds and their variations within the Turkish language, enabling the system to recognize speech accurately.
- Language Modeling. Language modeling uses statistical methods to predict the likelihood of sequences of words, improving the accuracy of the transcription by understanding context and grammatical structure.
- Feature Extraction. This technique extracts significant features from audio signals, such as pitch and volume, which help the recognition system to distinguish different phonetic elements in Turkish speech.
- Neural Networks. Advanced neural network architectures are applied to enhance the learning process from large datasets, enabling the system to adapt and improve its recognition over time for Turkish speech.