https://github.com/mansi-k/stutter-therapy
Developed and trained Gated-CNN models to detect types of stutter in speech and SVM classifier to suggest new therapies to the user according to his stutter type and severity
https://github.com/mansi-k/stutter-therapy
andoid-app audio-processing cnn deep-learning gru keras mfcc-analysis stutter-detection stutter-therapy svm
Last synced: about 2 months ago
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Developed and trained Gated-CNN models to detect types of stutter in speech and SVM classifier to suggest new therapies to the user according to his stutter type and severity
- Host: GitHub
- URL: https://github.com/mansi-k/stutter-therapy
- Owner: mansi-k
- Created: 2020-02-14T21:04:37.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-08-20T14:23:09.000Z (about 4 years ago)
- Last Synced: 2025-04-15T01:19:04.357Z (6 months ago)
- Topics: andoid-app, audio-processing, cnn, deep-learning, gru, keras, mfcc-analysis, stutter-detection, stutter-therapy, svm
- Language: Jupyter Notebook
- Homepage:
- Size: 63.3 MB
- Stars: 20
- Watchers: 3
- Forks: 4
- Open Issues: 3
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Metadata Files:
- Readme: README.md
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README
# Stutter Diagnosis and Therapy System based on Deep Learning:
https://arxiv.org/abs/2007.08003
This work attempts to detect and classify stutters in the input audio while existing works focus only on detection of stutters. We have used Gated Recurrent CNN on MFCC audio features for stutter detection and classification.
We propose an SVM-based system that can suggest therapies based on the type and severity of the stuttering.
We have also developed an Android app, Node.js based server and exploited Firebase for storing API requests and responses.
# Link to the pre-processed dataset: [link](https://drive.google.com/drive/folders/16iYlxl8ap-1dNyIxnEdLCaUav21ctCrf?usp=sharing)