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  • Design, develop, and optimize deep neural network (DNN) models for automatic dysarthria detection, subtype classification, and severity grading using multi-modal speech data (acoustic, physiological, aerodynamic).
  • Implement feature extraction, data preprocessing, and augmentation pipelines (MFCCs, jitter/shimmer, EGG, nasalance, etc.).
  • Perform model training, validation (10-fold CV), transfer learning (e.g., wav2vec 2.0), and interpretability analysis (SHAP).
  • Integrate DNN outputs into a conversational agent (CA) for personalized speech therapy exercises.
  • Collaborate with speech-language pathologists for data collection, clinical validation, and benchmarking against FDA ratings.
  • Document findings, prepare reports, and contribute to publications/manuscripts.

Job Types: Full-time, Contractual / Temporary
Contract length: 34 months

Pay: From ₹80,000.00 per month

Education:

  • Bachelor's (Preferred)

Work Location: In person

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