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Audio & Voice Tech

Technology for audio production and voice technology

Fig. 449 · Microphone

The field

At a glance

Definition

Technology for audio production and voice technology

Technologies

Neural text-to-speech converts written text to natural-sounding speech using deep learning models trained on human voice recordings. Voice cloning creates synthetic replicas of specific voices from minutes of audio samples. Real-time speech-to-text transcription converts spoken audio to text with sub-second latency and word error rates below 5%. Voice AI agents combine speech recognition, natural language understanding, and voice synthesis to conduct complete spoken conversations. Emotional intelligence detection identifies frustration, urgency, and satisfaction in caller voice patterns. Multilingual voice synthesis generates speech in dozens of languages from a single model.

Applications

AI voice agents handle customer service calls with sub-300ms latency, reducing costs by 20-30% and handling time by 35%. ElevenLabs powers audiobook narration, podcast production, and content dubbing for enterprise clients. Deepgram transcribes customer calls in real time for contact center analytics. Voice cloning enables content creators to produce multilingual versions of their content in their own voice. Spotify hosts 250,000+ video podcasts with consumption growing 54% year-over-year. Enterprise voice analytics extract sentiment, intent, and compliance insights from millions of recorded calls.

Market and funding

The AI voice generator market reached $4.2 billion in 2025 growing at 30.7% CAGR to $20.7 billion by 2031. Voice AI agents represent $2.4 billion growing at 34.8% CAGR to $47.5 billion by 2034. Speech and voice recognition reached $19 billion growing to $82 billion by 2032. The podcasting market reached $28 billion growing at 24.8% CAGR. Text-to-speech reached $3.9 billion growing to $7.3 billion by 2030. ElevenLabs alone generates $330+ million ARR at $11 billion valuation.

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