Accent neutralization software adjusts an agent's accent in real time, mid-call, to improve clarity between agents and customers across regions.
Accent neutralization software modifies a call center agent's accent in real time, mid-call, so the customer hears clearer, more familiar speech while the agent talks naturally. It sits in the audio path between agent and caller, processing speech on the fly to reduce the friction that costs BPOs handle time and CSAT when agents and customers are from different regions. Our Toniq pipeline does this at roughly 350ms of processing latency and works with any dialer, which matters because a neutralizer that only plugs into one platform is useless to a multi-client BPO. See how Toniq compares to Sanas on latency, pricing, and integration. It is distinct from a voice agent: neutralization keeps a human on the call and improves how they sound, while a voice agent removes routine calls from humans entirely.
The value is measured in comprehension. When the customer understands the agent on the first try, repeats and clarifications fall, which pulls down average handle time and pushes up satisfaction. That same comprehension gap is why AI speech recognition on Indian accents needs accent-aware models in the first place.
Dialer-agnostic matters for BPOs running many client stacks. Toniq processes the audio stream itself, so it drops into existing setups instead of forcing a platform migration. The same speech-model work also underpins how our voice agents handle Hindi and regional languages, and both run on the production discipline behind Battery Smart's live deployment.
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