If you want to protect voice interactions with smart devices, Pindrop could be a good choice. It has a suite of products for different situations, including IoT + Consumer Devices, which protects and personalizes interactions with smart devices. Pindrop combines liveness detection and a risk database to assess voice characteristics and block fraudulent calls so you can have trusted and secure voice interactions.
Another option is the Speech Technology Center, which offers a variety of AI-based products including Videovoice Biometrics for remote user authentication with antispoofing. That can help you protect smart device interactions by using voice and face biometrics to authenticate users and block deepfakes. The center's speech recognition and biometric analysis expertise can help you improve security and lower operational risks.
If you want something more focused on deepfake detection, the Deepfake Detector uses AI-based audio and video analysis to verify the authenticity of voice messages and calls. The tool is designed to block deepfake fraud by rapidly identifying and verifying the authenticity of audio and video files, which can be useful for protecting smart devices from deepfake attacks.
Last, AI Voice Detector is an online tool to determine whether audio files were created with AI voices or human voices. It can be embedded in business processes to ensure the trustworthiness of voice interactions, thereby blocking audio tampering and fraud. Its AI Noise Remover feature improves detection accuracy by removing background noise, making it a good option for protecting voice interactions.