Enables autonomous agents to orchestrate HubX mobile AI tools for vision diagnostics, voice transcription, photorealistic image generation, and spatial design through a native MCP interface.
Provides adaptive jitter buffering and packet loss concealment for real-time voice streams, ensuring smooth audio playout in unstable network conditions.
Enables MCP-compatible clients to detect and remove speech filler words using timestamp-aligned transcripts, and generate precise cut lists for video editing workflows.
Enables MCP-compliant agents to analyze speech prosody and vocal sentiment from audio-derived input, measuring speech rate, pitch variance, and user cognitive fatigue. Exposes these deterministic results over JSON-RPC so clients can dynamically calibrate their response pacing.
Enables acoustic vocal emotion, prosodic valence, and customer frustration analysis on audio queries via the Model Context Protocol, letting MCP-compliant clients obtain structured emotional telemetry and deterministic results.
Enables low-latency conversational turn-taking and barge-in handling for real-time voice AI interactions, orchestrating speech flow with sub-100ms responsiveness.
Enables real-time voice agents to arbitrate full-duplex speech by classifying user interruptions, backchannels, and acoustic echo while supporting context rollback.
Enables real-time acoustic noise floor estimation and spectral gating to suppress ambient reverberation in voice audio through an MCP-compatible interface.