Showing 2 open source projects for "jasper"

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    Next-generation security awareness training. Built for AI email phishing, vishing, smishing, and deepfakes.

    Track your GenAI risk, run multichannel deepfake simulations, and engage employees with incredible security training.

    Assess how your company's digital footprint can be leveraged by cybercriminals. Identify the most at-risk individuals using thousands of public data points and take steps to proactively defend them.
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  • Airlock Digital - Application Control (Allowlisting) Made Simple Icon
    Airlock Digital - Application Control (Allowlisting) Made Simple

    Airlock Digital delivers an easy-to-manage and scalable application control solution to protect endpoints with confidence.

    For organizations seeking the most effective way to prevent malware and ransomware in their environments. It has been designed to provide scalable, efficient endpoint security for organizations with even the most diverse architectures and rigorous compliance requirements. Built by practitioners for the world’s largest and most secure organizations, Airlock Digital delivers precision Application Control & Allowlisting for the modern enterprise.
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  • 1
    NVIDIA NeMo

    NVIDIA NeMo

    Toolkit for conversational AI

    ...Conversational AI architectures are typically large and require a lot of data and compute for training. NeMo uses PyTorch Lightning for easy and performant multi-GPU/multi-node mixed-precision training. Supported models: Jasper, QuartzNet, CitriNet, Conformer-CTC, Conformer-Transducer, Squeezeformer-CTC, Squeezeformer-Transducer, ContextNet, LSTM-Transducer (RNNT), LSTM-CTC. NGC collection of pre-trained speech processing models.
    Downloads: 3 This Week
    Last Update:
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  • 2

    Steel TTS

    A cross-platform wrapper for common text-to-speech engines in Python

    ...Steel currently supports the following TTS software: - Microsoft Speech API 5 (SAPI5) - eSpeak - NS Speech Synthesis - FreeTTS Documentation: http://sourceforge.net/p/steeltts/wiki/ Bug Tracker: http://sourceforge.net/p/steeltts/tickets/ If you are interested in contributing to the Steel TTS codebase, or would like to make a feature-request, please contact the lead developer, Jasper Danielson, at jrd4@rice.edu.
    Downloads: 1 This Week
    Last Update:
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