DC
Dr. Sireesha Chittepu
Vasavi College of Engineering, SR University
Research areas: Computer Science · Artificial Intelligence · Emotion and Mood Recognition · Speech Recognition and Synthesis · Speech and Audio Processing
Employment
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Vasavi College of Engineering Asst Professor2015 - 2026
Education
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SR University PhD2021 - 2025
Projects & Funding
Projects & funding information is unavailable.
Publications (19)
- Alzheimer’s Disease Progression for PET Data with Incomplete Clinical Scores Using Deep Learning Save
- Enhanced Plant Disease Detection via Ensemble Learning Save
- MobileNet-Based Deep Learning for Accurate Potato Leaf Disease Detection Save
- Audio-based Age, Gender & Emotion detection Save
- Enhancing Automated Interview Performance Evaluation Using Multimodal Emotion Detection and Retrieval-Augmented Generation Save
- Interpretable Federated Learning for Multimodal Stress Monitoring and Analysis in Workplace Environments Save
- ENHANCED PLANT DISEASE DETECTION VIA ENSEMBLE LEARNING Save
- A ResNet Based Plant Disease Diagnosis Platform Save
- CNN based Error Level Analysis (ELA) With Scores to Detect Digital Image Manipulation Save
- Dynamic Conditional Encoding and Feature Frequency Parsing in Diffusion Probabilistic Models for Diabetic Foot Ulcer Detection Using Thermographic Imaging Save
- Emotion-Aware Dysarthric Speech Reconstruction: LLMs and Multimodal Evaluation with MCDS Save
- Empowering voice assistants with TinyML for user-centric innovations and real-world applications Save
- Enhancing Medicinal Plant Prediction Through Deep Neural Network Algorithms Save
- Enhancing the Surveillance, Assessment, and Tracking of Mental Health and Well-being Using Deep Learning Techniques Save
- Improving Air Quality Prediction: A Study on Data-Driven Techniques and Advanced Sensing Technologies Save
- A Fine-Tuned Transformer Model for Dysarthric Speech with Spectrograms Save
- Empowering Dysarthric Speech: Leveraging Advanced LLMs for Accurate Speech Correction and Multimodal Emotion Analysis Save
- Synthetic Face Image Generation Using Deep Learning Save
- An Approach for Optimizing Algorithms Which Find k1-Most Demanding Products Save