Topic
conversational ai
Technology Nobody Wants to Wait on Hold Anymore: Can AI Replace Customer Care in India's BPO Industry?
AI-powered chatbots and voice assistants are rapidly taking over routine customer service tasks in India's BPO industry, offering faster responses and lower costs. According to Gartner, 85% of customer service leaders are exploring or deploying AI chatbots, and by 2029, AI could autonomously resolve nearly 80% of common issues. However, complex queries requiring empathy and judgment still require human agents, as illustrated by a customer's frustrating experience with an AI voice assistant. The shift is redefining jobs, skills, and data privacy.
IHBench: Evaluating Post-Interruption Recovery in Voice Agents with Structured Workflows
IHBench, a new benchmark from researchers including Salimi et al., evaluates how voice agents recover after interruptions in structured enterprise workflows. The benchmark tests 27 audio-language models from OpenAI, Google, and the open-weight community, finding that closed-weight models are consistently more robust, degrading 3.3x more slowly in long conversations.
MuVAP: New AI Model Predicts Turn-Taking in Multiparty Conversations Using Audio and Video
Researchers introduce MuVAP, a causal multimodal framework that predicts turn-taking in multiparty conversations using monaural audio and a single camera. The model extends Voice Activity Projection by grounding acoustic predictions in face tracks, and a new 31-hour corpus of unedited conversations supports training.
Fast When, Careful Who: Dual-Process Multiparty Turn-Taking with Diffusion Augmentation
Researchers propose an audio-only dual-process pipeline for multiparty turn-taking, using a fast trigger and lightweight verifier. Diffusion-based background-audio mixing as data augmentation improves shift detection on the VoxConverse dataset.