Kryoniq Logo

See Beyond the Synthetic

Cutting-edge machine learning research to identify synthetic voice manipulation and protect against audio fraud

Why Kryoniq?

State-of-the-art detection capabilities built on rigorous academic research

Instant Detection

Instant Audio Deepfake Detection

Real-time voice authentication and deepfake detection with forensic-grade accuracy for legal proceedings.

Dashboard

Real-time Protection Dashboard

Monitor all voice interactions with instant alerts and comprehensive activity tracking across your organization.

Analysis

Advanced Voice Analysis

Upload or record audio for detailed multi-model analysis with confidence scores and probability metrics.

Report

Forensic Analysis Report

Court-admissible forensic reports with detailed voice analysis, spectrograms, and comprehensive audit trails.

How Detection Works

Multi-model ensemble approach for robust deepfake identification

๐ŸŽค

Audio Input

Upload or stream audio file for analysis

๐Ÿ”ฌ

Multi-Model Analysis

Ensemble of specialized detection models process the audio

๐Ÿ“Š

Detection Results

Comprehensive report with confidence scores

Example Detection Results

Authentic Audio
94.2%
โœ“ Human Voice Detected
Synthetic Audio
8.7%
โš  Deepfake Detected
Try Full Interactive Demo

Academic Work

Peer-reviewed research advancing the field of audio deepfake detection

APSIPA ASC 2026

Multi-Frontend Fusion with Diversity-Constrained Augmentation for Robust Multilingual Audio Deepfake Detection Under Unknown Media Transformations

2026 โ€ข Accepted, to be presented
Coming Soon
APSIPA ASC 2026

Adapting Neuroscience-Inspired Cross-Frequency Coupling via Genetic Optimisation for Audio Deepfake Detection

2026 โ€ข Accepted, to be presented
Coming Soon
Speech Communication

Object detection for cross-linguistic vowel analysis: A novel language-agnostic method for forensic speech processing

2026 โ€ข Soham Gangopadhyay; Inderpreet Singh; Prateek Pandya; Ashish Mani; Sumit Goswami
Read Paper โ†’
SSRN Preprint

Quantum and Classical Reservoir Computing with Asymmetric Real-Anchoring for Audio Deepfake Detection: A Cross-Corpus Generalization Study

Preprint โ€ข Soham Gangopadhyay; Inderpreet Singh; Prateek Pandya; Ashish Mani; Sumit Goswami
Read Paper โ†’
AIST 2025

An ENF Feature-based Machine Learning Framework for Audio Deepfake Detection and Forensic Authentication

2025 โ€ข Soham Gangopadhyay; Inderpreet Singh; Prateek Pandya; Ashish Mani; Sumit Goswami
Read Paper โ†’
APSIPA ASC 2025

ArcticEcho: A Novel Speaker-Controlled Voice Cloning Dataset for Modern Deepfake Detection Benchmarking

2025 โ€ข Soham Gangopadhyay; Inderpreet Singh; Prateek Pandya; Ashish Mani; Sumit Goswami
Read Paper โ†’
AIST 2025

Cross-Linguistic Vowel Recognition from Spectrograms: A YOLOv5-based Computer Vision Framework for Forensic Phonetics

2025 โ€ข Soham Gangopadhyay; A. Raj; Sumit Goswami; Inderpreet Singh; Prateek Pandya; Ashish Mani
Read Paper โ†’
ICRTMD 2023

The Future of Audio Forensics: Exploring the Effect of Generative AI

2023 โ€ข Soham Gangopadhyay; Priyanka Gopi; Prateek Pandya; Ashish Mani; Sumit Goswami
Read Paper โ†’

Why This Matters

Real-world cases demonstrating the critical need for audio deepfake detection

AI Voice Scams

AI Scams Surge: Voice Cloning And Deepfake Threats Sweep India

Scammers gather victims' contact details, names, and other relevant information to make the fake call seem legitimate.

NDTV
CEO Deepfake

CEO of world's biggest ad firm targeted by deepfake scam

The head of the world's biggest advertising group was the target of an elaborate deepfake scam that involved an artificial intelligence voice clone.

Guardian
Voice Cloning

Fooled by your own kid? Chilling rise of AI voice cloning scams

India News: There is a new scam in town even more sophisticated than fake FedEx packages, job offers or money for liking videos.

The Times of India
Financial Loss

Deepfake scam: Company loses around Rs 207 crore after employee connected to a video call

A multinational company based in Hong Kong has incurred a colossal loss of $25 million (around Rs 207 crore) due to a sophisticated deepfake scam.

India Today