Psychiatric-Disorders-With-Speech
importedsoftware/psychiatric-disorders-with-speech
In this project, we wish to identify psychiatric disorders through patient's speech
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- mental-health · nlp · pytorch · rnn · speech · time-series
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- ethical-survey-speechmental-health · speech
Tables derived from the survey paper Promoting Fairness and Diversity in Speech Datasets (Mancini et al.)
- BiHDM_pytorchpytorch · rnn
An unofficial pytorch implementation of the BiHDM model proposed by Yang et al. for decoding emotion from multi-channel EEG recordings, with scikit-learn compatibility.
- Schizophrenia_EEGmental-health · time-series
Deep learning classification of Schizophrenia using EEG signals via TimeDistributed LSTM neural networks. Implements temporal feature extraction including Differential Entropy, Power Spectral…
- MKTY-Systempytorch · time-series
[AI LLM + Medicine and Healthcare] Minh Khoe Tue Y Smart Healthcare System【人工智能大模型与医疗保健毕业设计项目】明康慧医(MKTY)智慧医疗系统）
- SynthECGpytorch · time-series
The first systematic evaluation framework for synthetic 10-second 12-lead ECGs from diagnostic class-conditioned generative models
Official source code of Arrhythmia Detection
- api.github.com/repos/nikhil-garg/Psychiatric-Disorders-With-Speechretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-06-06, 12 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/36.json→ .entries["psychiatric-disorders-with-speech"]
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