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Speech & Voice AI

Technology converting spoken words into text for voice-enabled applications

Fig. 82 · Phonograph

The field

At a glance

Definition

Technology converting spoken words into text for voice-enabled applications

Technologies

Transformer-based ASR (Whisper) achieves near-human accuracy across languages. Neural TTS generates expressive, natural speech from text. Voice cloning replicates specific voices from short audio samples. Speaker diarization identifies who is speaking in multi-person conversations. Real-time voice translation enables cross-language spoken communication.

Applications

Voice AI agents handle customer service calls end-to-end. Medical dictation systems generate clinical notes from physician speech. Voice biometrics authenticate users for banking and security. Real-time translation enables multilingual conversations. Accessibility tools convert text to speech for visually impaired users.

Market and funding

The global speech and voice AI market exceeded $10 billion in 2025, spanning speech recognition, voice synthesis, voice biometrics, and conversational voice interfaces. Enterprise voice AI for call centers is the largest segment.

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