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@article{188435,
        author = {Mr. Mohammed Zeeshan and Mr. Mohammed Asim and Mr. Mohammed Abu Raiyan and Mr. Mohammed Ismail Azlan and Prof. Neha},
        title = {THE “SPEECH-TO-TEXT AND IMAGE GENERATION”},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {1635-1637},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188435},
        abstract = {Speech-to-Text and Image Generation are two transformative technologies in modern artificial intelligence. Speech-to-Text systems translate spoken language into written text by analysing audio patterns, linguistic structures, and contextual information using deep learning models. This technology enhances accessibility, supports hands-free communication, and enables natural interaction with digital devices. Image Generation, driven by generative models such as GANs and diffusion networks, creates new and realistic images by learning patterns from large datasets. These models are used in creative design, virtual environments, entertainment, and data augmentation. Together, these technologies highlight the growing capability of AI to understand, interpret, and generate multimodal content, paving the way for more advanced and intuitive human- machine interactions.},
        keywords = {},
        month = {December},
        }