Speech AI

Speech AI covers recognition, synthesis, and understanding of spoken language in products and research systems.

AI that listens to and/or speaks human speech.

Speech AI systems perform recognition (ASR), synthesis (TTS), speaker tasks, and spoken-language understanding, often combining acoustic models with language models.

Voice interfaces and transcription are core enterprise and accessibility workflows. Separating speech from generic NLP clarifies vendor comparisons.

• Meeting and call transcription
• Voice assistants and IVR modernization
• Accessibility captioning

• Converts speech to searchable text
• Enables hands-free interfaces

• Noise and accent robustness vary
• Privacy risks for always-on audio

• Speech AI is not only consumer gadgets—enterprise transcription is a major category

How does Speech AI relate to Voice AI on Brel?

Speech AI emphasizes recognition/synthesis components; Voice AI emphasizes end-user voice products. Overlap is common.

• NIST — Multimodal Information Group

• Foundational ASR literature and Whisper model documentation (OpenAI)