kõnetuvastustehnoloogiad

Kõnetuvastuste, a term originating from Estonian, translates to speech recognition. This technology enables computers and other devices to understand and interpret spoken language. The process involves several stages, beginning with the capture of audio data through a microphone. This raw audio is then digitized and processed to remove background noise and isolate the speech signal.

Following noise reduction, the speech signal is broken down into smaller units, typically phonemes, which are the basic sounds of a language. Acoustic models are then used to match these phonemes to known sound patterns. Language models, which contain information about grammar, syntax, and common word sequences, are employed to determine the most likely sequence of words that correspond to the recognized sounds.

The output of a kõnetuvastuste system is typically text. This text can then be used for a variety of applications, including voice command systems, dictation software, real-time transcription services, and interactive voice response (IVR) systems. The accuracy of kõnetuvastuste has significantly improved over the years due to advancements in machine learning and the availability of large datasets of spoken language. However, factors such as accent, background noise, and the clarity of speech can still affect performance.