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Seerium is a cutting-edge platform built by passionate engineers and researchers to harness real-time voice characteristics using advanced digital signal processing techniques.
Our mission is to offer accurate, efficient, and secure voice-based identification and analysis for diverse applications—from cybersecurity to assistive technology.
🔴 This is a working prototype. The project is fully developed, but our AI models lack sufficient training data. We need more voice data with diverse slang from different regions and emotional expressions from people who can display real emotions. Speaker approximation also requires data from all age groups and genders, while we currently have mostly data from friends in their twenties. Real-time prediction based on call context requires telecom network integration. Data gathering has been challenging due to privacy and permission constraints.
Identify who is speaking using unique voiceprints from the database.
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Trigger actions when specific keywords are spoken.
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Analyze voice characteristics and emotional tones.
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Extract key audio features for machine learning models.
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Integrate voice data with geolocation for contextual insights.
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Estimate speaker’s age, gender, and regional origin using voice and slang.
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Explore audio preprocessing techniques like sampling, Hamming window, and filtering.
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