kõnetöötlus

Kõnetöötlus, also known as speech processing, is a multidisciplinary field of computer science and linguistics concerned with the computational manipulation and analysis of speech. It encompasses a range of technologies that enable computers to understand, interpret, and generate human speech. The core areas within kõnetöötlus include automatic speech recognition (ASR), which converts spoken language into text, and text-to-speech (TTS) synthesis, which converts text into spoken audio.

ASR systems analyze acoustic signals of speech to identify phonetic units, words, and ultimately, the intended message. These systems often employ machine learning techniques, such as deep neural networks, trained on vast datasets of spoken language. Challenges in ASR include variations in pronunciation, accents, background noise, and the complexity of human language itself.

Text-to-speech synthesis, on the other hand, aims to generate natural-sounding human speech from written text. This involves converting text into phonetic representations and then synthesizing the corresponding acoustic signals. Modern TTS systems strive for human-like intonation, rhythm, and emotional expression.

Other important aspects of kõnetöötlus include speaker recognition and verification, which identify or confirm the identity of a speaker based on their voice, and speech enhancement, which aims to improve the quality of degraded speech signals. Applications of kõnetöötlus are widespread, ranging from virtual assistants and dictation software to telecommunications and accessibility tools. The ongoing research in this field continues to push the boundaries of human-computer interaction through voice.