szövegszintézis

Szövegszintézis, often translated as text-to-speech (TTS) synthesis, is a process that converts written text into spoken audio. This technology enables computers to read out text aloud, mimicking human speech. The core of text-to-speech involves several stages. First, text normalization is performed to handle numbers, abbreviations, and symbols, converting them into their full spoken forms. Following this, phonemic transcription translates the normalized text into a sequence of phonemes, the basic units of sound in a language.

Once the phonemes are identified, prosody generation determines the intonation, rhythm, and stress patterns of the speech. This is crucial for creating natural-sounding output. Finally, speech synthesis generates the actual audio waveform by combining the phonemes with the determined prosody. Early systems relied on concatenating pre-recorded speech segments, leading to robotic-sounding output. Modern systems often employ sophisticated machine learning models, particularly neural networks, which can generate much more human-like and expressive speech.

Text-to-speech technology has numerous applications. It is widely used in accessibility tools for visually impaired individuals, in voice assistants and smart devices, for audiobooks, in language learning software, and in customer service systems. The ongoing research in this field focuses on improving naturalness, expressiveness, and the ability to adapt to different voices and speaking styles.