Define text to speech

Define text to speech refers to understanding text-to-speech (TTS) as an artificial intelligence technology that converts written text into spoken audio using computational models to generate natural-sounding human speech with appropriate pronunciation, intonation, and rhythm patterns. This technology encompasses sophisticated algorithms including neural vocoders, WaveNet models, and transformer-based architectures that analyze textual input, process linguistic features, and synthesize high-quality audio output that closely resembles human vocal characteristics. Text-to-speech systems incorporate multiple processing stages including text normalization, phonetic analysis, prosody modeling, acoustic feature generation, and audio signal synthesis that transform written language into intelligible speech with natural flow and expression. Modern TTS implementations utilize deep learning techniques including attention mechanisms, sequence-to-sequence models, and neural synthesis approaches that enable real-time speech generation with customizable voice characteristics, emotional expression, and speaking styles. Enterprise applications leverage text-to-speech for accessibility solutions, interactive voice response systems, audiobook production, virtual assistants, educational tools, and multilingual content creation where organizations require automated speech generation capabilities. Advanced TTS systems support voice cloning, emotion control, accent adaptation, and integration with conversational AI agents that enable natural human-computer interactions while incorporating safety measures including speaker verification and consent mechanisms to prevent malicious voice impersonation in legitimate business applications requiring reliable speech synthesis.