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TTS Related Articles

How Text-to-Speech Technology Works

Learn about the science behind converting written text into natural-sounding speech using advanced AI algorithms.

Text-to-Speech (TTS) systems convert normal language text into speech. Modern TTS systems use Deep Learning and Neural Networks to generate human-like voices.

The process involves text analysis, linguistic processing, and waveform generation to produce natural intonation and rhythm.

Advanced models like WaveNet and Tacotron have revolutionized the quality, making synthetic voices almost indistinguishable from human speech.

Best Languages for TTS Conversion

Discover which languages have the most natural-sounding text-to-speech voices and why some work better than others.

English, Spanish, and Chinese are among the most developed languages for TTS due to the vast amount of training data available.

However, recent advancements have significantly improved support for under-resourced languages, including Bengali, Hindi, and Arabic.

Voizet supports over 60 languages, ensuring high-quality voice synthesis for a global audience.

Using TTS for Business Applications

Explore how businesses are leveraging text-to-speech technology to improve accessibility and customer experience.

Businesses use TTS for automated customer service (IVR), e-learning modules, and audio versions of written content.

It enhances accessibility for visually impaired users and provides a convenient way for people to consume content on the go.

Integrating TTS can increase user engagement and extend the reach of your digital content.