Text to speech

Einltion

The conversion of written text into spoken language - often referred to as text-to-speech (TTS) - makes it possible to present content in an accessible, more accessible and more versatile way.

Thanks to artificial intelligence (AI), computer-generated voices now sound more natural than ever before: they can adapt pitch, speech tempo, emotion and intonation to imitate human speakers with astonishing realism.


Basics

Text-to-speech technologies convert written content into acoustic signals. Modern TTS systems are based on neural networks that analyze speech patterns and generate synthetic voices from them.

In the past, these often sounded mechanical or monotonous - but today's AI models offer expressive, dynamic voices that can even convey emotions.


Areas of application & possible uses

  • Accessibility: Read-aloud functions for people with visual impairments or reading difficulties.
  • Educational offers: Audio versions of training documents or presentations.
  • Public relations: Creation of audio statements, podcasts or video recordings.
  • Telephone and announcement systems: Automated voice announcements in hotlines or info terminals.
  • Multimedia content: Animated videos, explanatory films or social media clips with a synthesized voice.

Step-by-step procedure

Step 1: Determine target and use

  • Should the text sound informative, motivating or emotional?
  • For which channel or medium is the audio file intended? (e.g. podcast, video, website)

Step 2: Prepare text

  • Optimize content linguistically (shorter sentences, clear formulations).
  • Shorten or adapt passages that are not relevant.

Step 3: Formulate a request to the AI

A good text-to-speech prompt should contain the following elements:

  • Language and voice: In which language and with which voice character should be spoken?
  • Tone and mood: Should it sound friendly, neutral, motivating or serious?
  • Speech tempo and emphasis: If desired, specify whether you want to speak slowly, quickly or with pauses.

Step 4: Check audio file

  • Listen to pronunciation and intonation.
  • If necessary, make adjustments to the text or settings.

Step 5: Save and integrate the audio file

  • Export in the desired format (e.g. MP3, WAV).
  • Integrate into websites, videos or presentations.

Example from practice

Scenario

A non-profit organization wants to record an audio invitation for a neighborhood party and make it available on the website.

Prompt for an AI

"Read this invitation text in German in a friendly, natural female voice. Keep a calm speaking pace and emphasize the community aspect. The text is intended for an audio invitation that will be embedded on our website."


Conclusion

Text-to-speech with AI opens up a wide range of possibilities for making content audible and more lively. Whether for accessibility, public relations or education - with precisely formulated prompts and careful text preparation, professional audio content can be created quickly and easily.


Further links

Voiceflow ProCreate your own voice assistants - for Alexa, Google Assistant or web interfaces.

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