Kõnesüntüüs

Kõnesüntüüs, also known as speech synthesis, is the artificial production of human speech. It involves converting written text into spoken words. This technology has a wide range of applications, from assistive devices for individuals with speech impairments to voice assistants in everyday technology.

The process of kõnesüntüüs typically involves several stages. First, the input text is processed, which includes tasks like normalization (expanding abbreviations and numbers) and phonetic conversion (translating text into a phonetic representation). Next, the phonetic representation is used to generate acoustic features, which are then used to synthesize the actual speech waveform.

There are two primary approaches to kõnesüntüüs: concatenative synthesis and parametric synthesis. Concatenative synthesis builds speech from pre-recorded units of speech, such as phonemes, diphones, or even whole words. This method often produces more natural-sounding speech but requires large databases of audio recordings. Parametric synthesis, on the other hand, generates speech based on a set of acoustic parameters. While it may sound less natural than concatenative methods, it is more flexible and requires less storage space.

Recent advancements in machine learning, particularly deep learning, have significantly improved the quality and naturalness of kõnesüntüüs. Neural network-based models can learn complex relationships between text and speech, resulting in highly intelligible and expressive synthesized voices. These advancements continue to push the boundaries of what is possible in artificial speech generation.