The scope of exploring project ideas in MTech Electronics and Communication Engineering is vast, offering innovative opportunities for students. These projects focus on advancements in communication systems, embedded systems, and signal processing, integrating IoT, machine learning, and smart devices. They prepare students for future careers in research, development, and technology innovation.
This project compares RNN-CNN and Transformer models for end-to-end ASR using the LJspeech dataset. Transformers excel in computational efficiency and scalability, while RNN-CNN models perform better with local dependencies
This study evaluates the performance of 6T and 7T SRAM cells, focusing on access times, power consumption, stability, and sensitivity. Results provide insights for designers to improve SRAM efficiency and reliability for various semiconductor applications.