Voice AI
Voice AI combines speech recognition, natural language understanding, and speech synthesis to enable AI agents to handle phone conversations with customers in real-time.
In Depth
Voice AI extends AI agent capabilities beyond text-based channels to phone support — still the preferred channel for many customers, especially for complex or urgent issues. Modern Voice AI operates in three stages: speech-to-text (converting the caller's speech into text using automatic speech recognition), natural language understanding (processing the text to understand intent and extract information), and text-to-speech (converting the AI's response back into natural-sounding speech). Advanced Voice AI systems handle interruptions, background noise, accents, and code-switching between languages.
They can also detect emotional cues in voice tone — a raised voice or faster speech indicates frustration. The result is phone support that feels natural while maintaining the efficiency and availability of AI. GuruSup's Voice AI handles inbound calls across multiple languages, with seamless handoff to human agents when needed.
Related Terms
Conversational AI
Conversational AI refers to technologies that enable computers to engage in natural, human-like dialogue, understanding context, maintaining conversation history, and generating relevant responses.
Natural Language Processing
Natural Language Processing (NLP) is a branch of AI that enables computers to understand, interpret, and generate human language in a meaningful way.
Omnichannel Support
Omnichannel support provides a seamless, unified customer service experience across all communication channels — chat, email, phone, social media, and messaging apps — with shared context between them.
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