How does Mongolian Speech To Text work?
- Acoustic Modeling. This involves the use of statistical models to represent the relationship between linguistic units and audio signals. It helps in identifying phonetic sounds from speech.
- Language Modeling. Language models predict the likelihood of sequences of words. This helps in improving the accuracy of transcription by understanding context and grammar.
- Signal Processing. This technique involves manipulation and analysis of audio signals to enhance speech clarity and remove noise, allowing for more accurate recognition.
- Neural Networks. Deep learning models, specifically neural networks, are used for recognizing patterns in speech data, significantly improving recognition rates for Mongolian words.
