awesome-repositories.com
Blog
MCP
awesome-repositories.com

Descoperă cele mai bune repository-uri open source cu căutare AI.

ExploreazăCăutări recomandateAlternative open-sourceSoftware self-hostedBlogHartă site
ProiectServer MCPDespreCum realizăm clasamentulPresă
LegalConfidențialitateTermeni
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

7 repository-uri

Awesome GitHub RepositoriesSpectrogram Renderers

Tools that generate frequency-based heat maps to analyze audio content over time.

Distinct from Audio Visualization Tools: Specifically focuses on the generation of spectrograms rather than general audio visualization or feature extraction.

Explore 7 awesome GitHub repositories matching graphics & multimedia · Spectrogram Renderers. Refine with filters or upvote what's useful.

Awesome Spectrogram Renderers GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • katspaugh/wavesurfer.jsAvatar katspaugh

    katspaugh/wavesurfer.js

    10,114Vezi pe GitHub↗

    wavesurfer.js is a WebAudio playback library and interactive waveform visualizer that renders audio data onto an HTML5 canvas. It enables users to see and navigate sound files through a visual representation of audio peaks, allowing for direct seeking and playback control within a web browser. The project is distinguished by its flexible rendering model, which can use precomputed peak data to display waveforms without downloading or decoding the full audio file. It utilizes a plugin-based extension model to integrate advanced tools such as spectrograms, interactive audio timelines, and real-t

    Includes a dedicated spectrogram renderer that generates frequency heat maps for audio analysis.

    TypeScriptaudiojavascriptmusic
    Vezi pe GitHub↗10,114
  • netease-youdao/emotivoiceAvatar netease-youdao

    netease-youdao/EmotiVoice

    8,446Vezi pe GitHub↗

    EmotiVoice is an emotional text-to-speech engine and bilingual speech synthesizer designed to generate synthetic audio in English and Chinese. It utilizes a deep learning architecture to produce high-fidelity speech with controllable emotional states and timbres. The project includes a voice cloning framework for replicating specific speaker identities by training custom acoustic models on personal audio datasets. It employs a jointly-trained acoustic-vocoder pipeline and style-embedding-based synthesis to manage expression and reduce audio artifacts. The system covers a broad range of speec

    Generates mel spectrogram plots to visualize and compare predicted audio quality against target speech signals.

    Pythonaideep-learningemotion
    Vezi pe GitHub↗8,446
  • worldveil/dejavuAvatar worldveil

    worldveil/dejavu

    6,764Vezi pe GitHub↗

    Dejavu is a Python audio fingerprinting library and recognition engine. It functions as a digital audio signature tool used to analyze sound waves and create unique identifiers for the purposes of audio search and retrieval. The project enables automatic music identification by matching live audio feeds or recorded clips against a database of fingerprints. It covers audio content matching and digital audio archiving to identify original source recordings from a stored collection. The system incorporates capabilities for generating audio fingerprints, identifying audio tracks, and recognizing

    Analyzes spectrograms to identify peak energy points, creating unique digital signatures for audio tracks.

    Python
    Vezi pe GitHub↗6,764
  • makcedward/nlpaugAvatar makcedward

    makcedward/nlpaug

    4,658Vezi pe GitHub↗

    nlpaug este o bibliotecă de augmentare a datelor concepută pentru a genera text sintetic, audio și date de spectrogramă, cu scopul de a îmbunătăți robustețea modelelor de machine learning. Funcționează ca un sintetizator de date textuale și un augmentator de semnal audio, oferind instrumente specializate pentru extinderea seturilor de date prin diverse metode de transformare. Proiectul se distinge prin capacitatea de a orchestra fluxuri de lucru complexe folosind un orchestrator de pipeline, care permite înlănțuirea mai multor funcții de augmentare secvențial sau aleatoriu. Suportă sinteza sofisticată de text prin back-translation, contextual word embeddings și integrarea modelelor de limbaj pre-antrenate, oferind în același timp augmentarea imaginilor de spectrogramă prin mascarea timpului și a frecvenței. Biblioteca acoperă o gamă largă de capabilități, inclusiv modificarea semnalului audio cu injectare de zgomot și pitch shifting, alterări de text bazate pe reguli pentru simularea greșelilor de scriere și extinderea seturilor de date prin generarea de propoziții și substituție semantică. Oferă, de asemenea, controale pentru volumul de augmentare și filtrarea țintei folosind expresii regulate pentru a proteja anumite token-uri de modificare.

    Transforms audio spectrograms using time and frequency masking to improve speech recognition robustness.

    Jupyter Notebook
    Vezi pe GitHub↗4,658
  • alexkay/spekAvatar alexkay

    alexkay/spek

    3,185Vezi pe GitHub↗

    Spek is an acoustic spectrum tool and audio frequency visualizer designed to decode audio streams and analyze their spectral density. It functions as an audio spectrogram analyzer that displays frequency distributions to help identify the sonic characteristics of audio files. The tool specifically includes capabilities as a lossy compression detector, allowing for the identification of encoding artifacts and frequency cut-offs caused by lossy transcoding. The software covers audio file inspection and spectral analysis, providing the ability to select individual audio streams and channels. Us

    Generates frequency-based heat maps to analyze audio content over time as spectrograms.

    C++
    Vezi pe GitHub↗3,185
  • dominicbreuker/stego-toolkitAvatar DominicBreuker

    DominicBreuker/stego-toolkit

    2,636Vezi pe GitHub↗

    This project is a steganography analysis toolkit and digital forensics suite designed to detect, extract, and embed hidden data within image and audio files. It provides a dockerized security environment that bundles various analysis tools into a containerized workspace, including a media spectrogram visualizer for revealing visually hidden patterns. The toolkit features a dedicated brute force system for recovering password-protected messages using automated wordlists and candidate password testing. It distinguishes itself by providing rule-based wordlist generation that uses expansion patte

    Includes a graphical interface to render audio spectrograms for revealing visually hidden patterns.

    Shellctf-toolsdocker-imagesteganography
    Vezi pe GitHub↗2,636
  • miek/inspectrumAvatar miek

    miek/inspectrum

    2,466Vezi pe GitHub↗

    Divides the time-frequency display into cached image tiles recomputed only on zoom or pan changes.

    C++dspsdr
    Vezi pe GitHub↗2,466
  1. Home
  2. Graphics & Multimedia
  3. Media Processing and Analysis
  4. Media Manipulation
  5. Media Processing
  6. Audio Visualization Tools
  7. Spectrogram Renderers

Explorează sub-etichetele

  • Fingerprint GenerationExtracting unique digital signatures from audio spectrograms based on peak energy points. **Distinct from Spectrogram Renderers:** Distinct from Spectrogram Renderers: focuses on using spectrogram data to generate identifiers rather than just visualizing them.
  • Spectrogram Masking ToolsUtilities for applying time and frequency masking to spectrogram images for model robustness. **Distinct from Spectrogram Renderers:** Focuses on the transformation and masking of spectrograms for ML training, not just rendering them.
  • Tile-BasedDivides the time-frequency display into cached image tiles that are recomputed only when zoom or pan changes. **Distinct from Spectrogram Renderers:** Distinct from Spectrogram Renderers: adds tile-based caching and lazy recomputation for large recordings, not just general spectrogram generation.