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asaca-automatic-speech-analysis-for-cognitive-assessment

Transform speech into cognitive assessments with ASACA. Achieve accurate predictions and low error rates using our end-to-end toolkit. 🚀🔧

https://github.com/alissander/asaca-automatic-speech-analysis-for-cognitive-assessment

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • â—‹
    DOI references
  • â—‹
    Academic links in README
  • â—‹
    Academic email domains
  • â—‹
    Institutional organization owner
  • â—‹
    JOSS paper metadata
  • â—‹
    Scientific vocabulary similarity
    Low similarity (3.1%) to scientific vocabulary

Keywords

ai classification deep-learning feature-engineering feature-extraction machine-learning multimodal praat python python-script shap speech speech-analysis speech-and-language-processing speech-to-text training wav2vec2 wav2vec2ctc
Last synced: 6 months ago · JSON representation

Repository

Transform speech into cognitive assessments with ASACA. Achieve accurate predictions and low error rates using our end-to-end toolkit. 🚀🔧

Basic Info
  • Host: GitHub
  • Owner: Alissander
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 784 KB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
ai classification deep-learning feature-engineering feature-extraction machine-learning multimodal praat python python-script shap speech speech-analysis speech-and-language-processing speech-to-text training wav2vec2 wav2vec2ctc
Created 8 months ago · Last pushed 8 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation Security

Owner

  • Login: Alissander
  • Kind: user

GitHub Events

Total
  • Release event: 1
  • Push event: 14
  • Create event: 3
Last Year
  • Release event: 1
  • Push event: 14
  • Create event: 3

Dependencies

Dockerfile docker
  • python 3.11-slim build
pyproject.toml pypi
  • PyYAML >=6.0
  • ctc-decoder @ git+https://github.com/githubharald/CTCDecoder.git@6b5c3dd
  • ctc-segmentation >=1.7
  • datasets >=2.18
  • evaluate >=0.4
  • jiwer >=3.0
  • joblib >=1.3
  • librosa >=0.10
  • matplotlib >=3.7
  • nltk *
  • numpy >=1.24
  • openpyxl >=3.1
  • pandas >=1.5
  • pillow >=10.2
  • praat-parselmouth >=0.4
  • pronouncing >=0.2
  • psutil >=5.9
  • pyannote.audio >=3.1
  • pyannote.core >=5.0
  • pyctcdecode >=0.5
  • pyqt5 *
  • pyqtgraph *
  • reportlab *
  • resampy >=0.4
  • safetensors >=0.4
  • scikit-learn >=1.4
  • scipy >=1.10
  • shap *
  • soundfile >=0.12
  • sympy >=1.12
  • torch *
  • torchaudio *
  • torchvision *
  • tqdm >=4.66
  • transformers >=4.38
  • webrtcvad *
requirements-dev.txt pypi
  • black * development
  • mypy * development
  • pre-commit * development
  • pytest-cov * development
  • ruff * development
requirements.txt pypi
  • PyQt5 >=5.15
  • PyYAML >=6.0
  • ctc-segmentation >=1.7
  • datasets >=2.18
  • evaluate >=0.4
  • jiwer >=3.0
  • joblib >=1.3
  • librosa >=0.10
  • matplotlib >=3.7
  • nltk *
  • numpy ==1.24.4
  • openpyxl >=3.1
  • pandas >=1.5
  • pillow >=10.2
  • praat-parselmouth *
  • pronouncing >=0.2
  • psutil >=5.9
  • pyannote.audio >=3.1
  • pyannote.core >=5.0
  • pyctcdecode >=0.5
  • pyqtgraph >=0.13
  • reportlab >=4.0
  • resampy >=0.4
  • safetensors >=0.4
  • scikit-learn >=1.4
  • scipy >=1.10
  • shap *
  • soundfile >=0.12
  • sympy >=1.12
  • torch *
  • torchaudio *
  • torchvision *
  • tqdm >=4.66
  • transformers >=4.38
  • webrtcvad *