Technology

Speech

Speech technology converts human voice into actionable data: Automatic Speech Recognition (ASR) transcribes spoken words, while Text-to-Speech (TTS) generates natural-sounding audio for systems like Amazon Alexa and Google Assistant.

Speech technology is a core AI pillar, bridging human-machine communication through two primary functions. Automatic Speech Recognition (ASR) analyzes acoustic signals, using deep learning models to convert spoken word into legible text, a process critical for dictation and data capture. Conversely, Text-to-Speech (TTS) synthesis generates human-like audio from written text, with modern neural models achieving high fidelity and natural intonation. Applications are ubiquitous: this technology drives voice assistants (Siri, Google Assistant), streamlines customer service via Interactive Voice Response (IVR), and boosts workplace efficiency by being up to three times faster than typing for data input. The global market is projected to exceed $19 billion by 2025, confirming its essential role across all sectors.