👉 Speech engineering, also known as speech synthesis or text-to-speech (TTS), is the process of converting written text into spoken words using computational techniques. This involves several stages, including text analysis to understand the linguistic structure and meaning of the input, phonetic conversion to map words to their corresponding sounds, prosody modeling to generate natural-sounding intonation and rhythm, and finally, waveform synthesis to produce the actual audio signal. Advanced speech engineering leverages machine learning models, particularly deep neural networks, to enhance the naturalness and expressiveness of synthetic speech, making it increasingly indistinguishable from human voices. This technology is widely used in various applications, such as virtual assistants, audiobooks, accessibility tools for the hearing impaired, and language learning aids.
