AI Noise Cancellation models designed for microphone (outbound/uplink) and speaker (inbound/downlink) audio streams. Noise robust for use in contact centers, offices and home environments. Includes de-reverberation to remove room echo. Physical microphone and language independent.
AI Background Voice Cancellation model designed for microphone (outbound/uplink) audio stream to remove other voices near the primary speaker wearing a headset or ear buds. Fixes the contact center cross-talk problem, as well as blocking competing voices in office and at home. No enrollment or training of the user’s voice is required. Background Noise Cancellation included. Language independent.
Our Voice AI SDK also includes a suite of other audio processing algorithms for a number of use-cases. More details are available in the SDK Features section.
On-device speech-to-text (STT) model designed to transcribe users’ online communications in English in near-real time. Krisp STT is noise and accent robust, translating to top performing WER. No internet connection required, making transcriptions available to applications and devices independent of connectivity. On-device STT also translates to much lower cost, by removing transmission and server costs associated with cloud-based solutions. Available for Win and Mac OS.
Model designed for changing the accent of a contact center agent in real-time from their local accent to that of the customer, improving customer experience while providing a significant ROI. The first model availability is for India-based agents serving North American customers in English. Local accent robust, gender independent, noise robust and microphone/headset independent.Lorem Ipsum