Showing 5 open source projects for "improve"

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  • 1
    Buster

    Buster

    Captcha solver extension for humans

    Save time by asking Buster to solve captchas for you. Buster is a Firefox extension which helps you to solve difficult captchas by completing reCAPTCHA audio challenges using speech recognition. Challenges are solved by clicking on the extension button at the bottom of the reCAPTCHA widget. It is not guaranteed that challenges are always solved, the limitations of the technology need to be considered. The continued development of Buster is made possible thanks to the support of awesome...
    Downloads: 23 This Week
    Last Update:
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  • 2
    WhisperKit

    WhisperKit

    On-device Speech Recognition for Apple Silicon

    WhisperKit is a Swift package that integrates OpenAI's popular Whisper speech recognition model with Apple's CoreML framework for efficient, local inference on Apple devices. Whisper has pulled the future forward when fast, free and virtually error-free translation and transcription will be ubiquitous. It inspired numerous developers to improve and deploy it with minimal friction and maximum performance. We founded Argmax in November 2023 to empower developers and enterprises everywhere...
    Downloads: 0 This Week
    Last Update:
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  • 3
    Diffgram

    Diffgram

    Training data (data labeling, annotation, workflow) for all data types

    From ingesting data to exploring it, annotating it, and managing workflows. Diffgram is a single application that will improve your data labeling and bring all aspects of training data under a single roof. Diffgram is world’s first truly open source training data platform that focuses on giving its users an unlimited experience. This is aimed to reduce your data labeling bills and increase your Training Data Quality. Training Data is the art of supervising machines through data. This includes...
    Downloads: 0 This Week
    Last Update:
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  • 4
    Lip Reading

    Lip Reading

    Cross Audio-Visual Recognition using 3D Architectures

    ... the extracted information from one modality to improve the recognition ability of the other modality by complementing the missing information. The essential problem is to find the correspondence between the audio and visual streams, which is the goal of this work. We proposed the utilization of a coupled 3D Convolutional Neural Network (CNN) architecture that can map both modalities into a representation space to evaluate the correspondence of audio-visual streams using the learned multimodal features.
    Downloads: 12 This Week
    Last Update:
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  • 5
    Collaborative development and distribution of Windows Speech Recognition (WSR) application macros to 1) improve the accessibility of personal computing for impaired users, and 2) improve the efficiency of personal computing for all users.
    Downloads: 3 This Week
    Last Update:
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