SuperAPI AI Directory

Whispp

Whispp is a voice reconstruction AI technology. Its core product, WhisppWAVE, can reconstruct whispered or faint silent speech in real time on-device into clear, natural original voice with latency below 120 milliseconds, and it is language-independent. It supports private calls (speaking softly can still be heard clearly) and anonymous calls (hiding biometric voiceprint identity). Aimed at OEMs, chip manufacturers, and communication platforms, it can be quickly integrated into existing audio pipelines through native Android and Windows SDKs, with 100% on-device processing, so audio never leaves the device. The technology grew out of an initial purpose of serving patients with loss of voice and people with severe stuttering, has received recognition from TIME, CES, Forbes, and others, and in the future plans to expand into assistive application fields.

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About this tool

Whispp is a technology provider focused on voice reconstruction AI, and its core technology product is WhisppWAVE. This technology can reconstruct whispered or other silent speech in real time on-device into the user's own clear, natural voice, with end-to-end latency below 120 milliseconds, and it is language-independent.

Main capabilities

  • Voice reconstruction: It does not rely on traditional noise reduction or speech enhancement, but instead uses patented Voice Reconstruction AI to generate a complete, clear, and natural speech signal under real-time conditions, even when the input is whispered or silent speech.
  • Private calls: A user can whisper softly and still be heard in their own clear, natural voice without disturbing people around them.
  • Secure calls: A clear, natural but anonymized voice can be used to avoid exposing the natural biometric voiceprint identity.
  • Cross-device support: It can run on phones, PCs, and wearable devices, providing SDKs for mobile, PC, and wearable calling experiences.

How to use WhisppWAVE is aimed at OEMs, chip manufacturers, and communication platforms, providing native Android and Windows SDKs that can be quickly integrated into existing audio pipelines and conferencing stacks. The integration process includes: communicating with experts to evaluate SDK suitability, performance benchmarks, and licensing for specific hardware; obtaining an integration plan that clarifies the technical and commercial path. The integration process is three steps to achieve a working integration. The official team also provides an integration whitepaper covering a technical overview of the architecture, SDK, and compliance framework.

Applicable scenarios

  • Private and secure calls on smartphones and tablets.
  • Private, low-profile conference calls in open and public spaces.
  • Voice reconstruction in hearing aids and smartwatches.
  • Embedding real-time voice reconstruction into existing technology stacks.

Limitations and notes This technology is 100% processed on-device, audio never leaves the device, and it is optimized for Qualcomm, Arm, and AMD chips. Whispp originated from the initial purpose of serving people who have lost their voice due to illness and people with severe stuttering, and in the future it plans to expand the technology into assistive applications and carry out corresponding medical validation. Facts such as product pricing, specific licensing fees, platform compatibility details, and complete integration steps are not yet provided.