How does Kazakh Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology analyzes audio signals and converts them into text by detecting words and phrases based on linguistic models and acoustic patterns.
- Deep Learning. Deep learning methods, such as neural networks, are employed to improve the accuracy of speech recognition by learning from large datasets of spoken Kazakh.
- Language Modeling. Language models predict the likelihood of a sequence of words, enhancing the understanding of context and improving transcription accuracy.
- Voice Activity Detection (VAD). VAD distinguishes between speech and non-speech segments in audio streams, enabling more efficient processing and transcription of verbal content.