The term "Text-to-Speech" (TTS) refers to the automated conversion of written text into naturally sounding, synthetically generated speech. This technology allows content to be played back audibly – for example, to enhance accessibility, for use in automated voice outputs in software, or for multimedia content. Text-to-speech systems use linguistic rules, artificial intelligence, and increasingly neural networks to produce speech that sounds as natural as possible.
Real-time voice output: Conversion of input or stored text into spoken language during use.
Multilingual support: Selection of different languages and regional accents for output.
Voice selection: Use of various synthetic voices, e.g., male/female, naturally/intensely intonated.
Voice customization: Ability to adjust pitch, speaking rate, and volume individually.
SSML support (Speech Synthesis Markup Language): Fine-tuning of emphasis, pauses, volume, or pronunciation within the text.
Batch processing: Conversion of large text volumes into audio files for later use.
Export functions: Output of speech results as audio formats such as MP3 or WAV.
Accessibility features: Integration into applications to support people with visual or reading impairments.
API interfaces: Integration of TTS functionality into other software applications via APIs.
An e-learning tool reads training content aloud in multiple languages.
A chatbot responds to customer queries using spoken language.
An assistance system for the blind reads screen content aloud.
A navigation app gives audible turn-by-turn directions.
A company automatically generates product descriptions as audio for its website or voice commerce channels.
