Showing 5 open source projects for "audio frequency"

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  • 1
    audioFlux

    audioFlux

    A library for audio and music analysis, feature extraction

    A library for audio and music analysis, and feature extraction. Can be used for deep learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. audioflux is a deep learning tool library for audio and music analysis, feature extraction. It supports dozens of time-frequency analysis transformation methods and hundreds of corresponding time-domain and frequency-domain feature combinations.
    Downloads: 2 This Week
    Last Update:
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  • 2
    SleepFM-Clinical

    SleepFM-Clinical

    Improve human sleep through scientifically

    SleepFM-Clinical is a specialized version of SleepFM designed for clinical and research environments, offering an adaptive audio modulation system aimed at improving human sleep through scientifically guided soundscapes. Rather than simply playing static white noise or ambient tracks, it uses a closed-loop, frequency-modulated framework that responds to user-specific sleep patterns and physiological signals to tailor sound in ways that can enhance sleep onset and depth. ...
    Downloads: 6 This Week
    Last Update:
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  • 3
    AudioGenerator

    AudioGenerator

    Generates a sound given: volume, frequency, duration

    Generates a sound given: volume, frequency, duration! Download build.zip, unpack zip, and run the executable.
    Downloads: 1 This Week
    Last Update:
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  • 4

    audioFlux

    A library for audio and music analysis, feature extraction.

    audioflux is a deep learning tool library for audio and music analysis, feature extraction. It supports dozens of time-frequency analysis transformation methods and hundreds of corresponding time-domain and frequency-domain feature combinations. It can be provided to deep learning networks for training, and is used to study various tasks in the audio field such as Classification, Separation, Music Information Retrieval(MIR) and ASR etc.
    Downloads: 0 This Week
    Last Update:
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  • 5
    Denoiser

    Denoiser

    Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)

    Denoiser is a real-time speech enhancement model operating directly on raw waveforms, designed to clean noisy audio while running efficiently on CPU. It uses a causal encoder-decoder architecture with skip connections, optimized with losses defined both in the time domain and frequency domain to better suppress noise while preserving speech. Unlike models that operate on spectrograms alone, this design enables lower latency and coherent waveform output.
    Downloads: 0 This Week
    Last Update:
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