Speech Synthesis

Speech synthesis is the computational process of generating spoken language from text input, utilizing various models to produce human-like speech. This process typically involves two main components: text processing and waveform generation. Text processing includes tasks such as phonetic transcription, prosody prediction, and linguistic analysis, which convert written text into a format suitable for speech production. Waveform generation can be achieved through concatenative synthesis, which stitches together pre-recorded speech segments, or through parametric synthesis methods like WaveNet, which generate speech waveforms directly from linguistic features using deep learning techniques. The quality of synthesized speech is often evaluated using metrics such as Mean Opinion Score (MOS) and is critical for applications in virtual assistants, accessibility technologies, and entertainment.