11 projects for "spectrogram" with 1 filter applied:

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  • 1
    Riffusion App

    Riffusion App

    Stable diffusion for real-time music generation (web app)

    Riffusion App Hobby is an open-source interactive web application that enables real-time music generation using stable diffusion models adapted for audio synthesis. Unlike traditional music generation tools, it treats audio as spectrogram images and applies diffusion techniques to generate continuous sound transitions, allowing users to create evolving musical loops and compositions. The application is built with modern web technologies including Next.js, React, and three.js, providing a responsive and visually engaging interface for experimentation. It relies on a separate inference server to perform model computations, enabling flexible deployment depending on hardware capabilities. ...
    Downloads: 0 This Week
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  • 2
    SigPack

    SigPack

    SigPack - A signal processing library using Armadillo

    SigPack is a C++ signal processing library using the Armadillo library as a base. The API will be familiar for those who has used IT++ and Octave/Matlab.
    Downloads: 2 This Week
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  • 3
    Riffusion

    Riffusion

    Real-time music generation using stable diffusion techniques AI

    Riffusion (hobby) is a Python-based open source library designed for real-time music and audio generation using stable diffusion techniques. Riffusion (hobby) works by generating and manipulating spectrogram images, which are then converted into playable audio clips, effectively bridging image-based diffusion models with sound synthesis. It implements a diffusion pipeline that supports prompt interpolation, allowing smooth transitions between different musical styles or prompts over time. Riffusion (hobby) serves as the core implementation for audio and image processing, providing essential building blocks for generating music from text prompts. ...
    Downloads: 2 This Week
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  • 4
    DiffSinger

    DiffSinger

    Singing Voice Synthesis via Shallow Diffusion Mechanism

    ...The method introduces a “shallow diffusion” mechanism: instead of diffusing over many steps, generation begins at a shallow step determined adaptively, which leverages prior knowledge learned by a simple mel-spectrogram decoder and speeds up inference.
    Downloads: 25 This Week
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  • 5
    WaveRNN

    WaveRNN

    WaveRNN Vocoder + TTS

    ...A quick_start.py script allows users to immediately synthesize example sentences from a pretrained model and inspect both generated audio and attention plots. For custom TTS, the project guides you through training Tacotron, forcing GTA spectrogram export when desired, training WaveRNN with or without GTA, and then running joint generation.
    Downloads: 0 This Week
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  • 6
    TensorFlowTTS

    TensorFlowTTS

    Real-Time State-of-the-art Speech Synthesis for Tensorflow 2

    ...The library supports multiple languages (English, French, Korean, Chinese, German, etc.) and is relatively easy to adapt to new languages. With integrated vocoder + mel-spectrogram generation pipelines, pre-trained models, and fairly flexible architecture, TensorFlowTTS is a great off-the-shelf and extensible TTS engine for applications ranging from voice assistants to content generation or accessibility tools.
    Downloads: 0 This Week
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  • 7
    Transformer TTS

    Transformer TTS

    Implementation of a Transformer based neural network

    TransformerTTS is an implementation of a non-autoregressive Transformer-based neural network for text-to-speech, built with TensorFlow 2. It takes inspiration from architectures like FastSpeech, FastSpeech 2, FastPitch, and Transformer TTS, and extends them with its own aligner and forward models. The system separates alignment learning and acoustic modeling: an autoregressive Transformer is used as an aligner to extract phoneme-to-frame durations, while a non-autoregressive...
    Downloads: 0 This Week
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  • 8
    DC-TTS

    DC-TTS

    TensorFlow Implementation of DC-TTS: yet another text-to-speech model

    ...It follows the “Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention” paper, but the author adapts and extends the design to make it practical for real experiments. The model is split into two networks: Text2Mel, which maps text to mel-spectrograms, and SSRN (spectrogram super-resolution network), which converts low-resolution mel-spectrograms into high-resolution magnitude spectrograms suitable for waveform synthesis. Training scripts, data loaders, and hyperparameter configurations are provided to reproduce results on several datasets, including LJ Speech for English, a Korean single-speaker dataset, and audiobook data from Nick Offerman and Kate Winslet.
    Downloads: 0 This Week
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  • 9
    GPS Interactive Time Series Analysis

    GPS Interactive Time Series Analysis

    A software for processing and analyzing time series in Earth Science

    ...Bivariate statistical analysis (including correlation coefficient and linear regression) and time series analysis (including auto and cross-spectral analysis, wavelet power spectrum, spectrogram and periodicities) form the main analysis features of the software.
    Downloads: 1 This Week
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  • 10
    The Analysis & Resynthesis Sound Spectrograph analyses a sound file into a spectrogram and is able to synthesise this spectrogram, or any other user-created image, back into a sound.
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    Downloads: 10 This Week
    Last Update:
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  • 11
    The Analysis & Reconstruction Sound Engine analyses a sound file into a spectrogram and is able to synthesise this spectrogram, or any other user-created image, back into a sound.
    Downloads: 0 This Week
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