How does Punjabi Speech To Text work?
- Automatic Speech Recognition (ASR). ASR is used to transcribe spoken words into text by processing audio signals and recognizing patterns associated with specific sounds in the Punjabi language.
- Machine Learning Algorithms. These algorithms improve the accuracy of speech recognition by learning from data and adapting to different accents and dialects of Punjabi over time.
- Natural Language Processing (NLP). NLP techniques help in understanding context and semantics, enabling the system to produce more accurate and relevant text output from spoken language.
- Voice Activity Detection (VAD). VAD identifies when speech occurs in an audio signal, allowing the system to focus on relevant segments for transcription and ignoring background noise.