Speech recognition with AI: A breakthrough in human-technology interaction

Speech recognition with artificial intelligence enables computers to understand and process spoken language. The technology has made major progress in recent years and is used in a growing number of applications.

How the recognition learns

The basis is algorithms that learn from large volumes of speech data. Using deep learning models, the recognition distinguishes between languages and dialects and takes individual speaking habits and intonation into account.

Areas of application

Applications range from voice control in the smart home to the translation of live conversations. Industry examples:

• Automotive: voice control in the vehicle so that drivers keep their hands on the wheel.
• Customer service: automatic capture and answering of customer enquiries.
• Healthcare: doctors maintain patient records faster by dictation.
• Education: voice-controlled applications in teaching.

Key points

• AI-based speech recognition learns from large volumes of speech data and adapts to speakers.
• It recognises languages, dialects and intonation.
• Fields of application include automotive, customer service, healthcare and education.

How DEVACON supports companies with AI-based automation is described on the page Process automation and AI.