kõnetuvastusalgoritmidest

Kõnetuvastus, also known as speech recognition, is a technology that enables computers to understand and transcribe spoken language. It converts spoken words into text, allowing for various applications that interact with users through voice commands or dictation. The process typically involves several stages: acoustic modeling, which analyzes the sound waves of speech; language modeling, which predicts the likelihood of word sequences; and a decoding process that combines these models to produce the most probable text transcription.

The accuracy of kõnetuvastus systems has significantly improved over the years due to advancements in machine learning, particularly deep neural networks. These systems are trained on vast datasets of recorded speech and corresponding transcriptions. Factors affecting accuracy include the quality of the audio, background noise, speaker's accent, and the complexity of the language used.

Kõnetuvastus has found widespread use in numerous domains. Virtual assistants like Siri, Alexa, and Google Assistant rely heavily on it for voice commands. It is also used in dictation software for professional transcription, real-time captioning for videos and broadcasts, and in customer service for automated voice response systems. Emerging applications include voice-controlled interfaces for vehicles and smart home devices, as well as tools for language learning and accessibility. Continued research aims to further enhance robustness, reduce errors, and support a wider range of languages and dialects.