Speech recognition
Speech recognition systems convert spoken language into text, aiming to develop models that can accurately transcribe speech in real-time. These systems utilize deep learning techniques, such as CNNs for feature extraction and RNNs for sequence processing, with pre-trained models like DeepSpeech and Whisper playing a significant role. Speech recognition is essential for applications such as virtual assistants, transcription services, and accessibility tools for the hearing impaired. Future advancements may include better handling of diverse accents and dialects, real-time processing, and improved accuracy in noisy environments. Speech recognition technology is pivotal for enhancing human-computer interaction and making digital content more accessible.
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Top NLP Projects for Final Year Students 2024
Natural Language Processing(NLP) is an exciting field that enables computers to understand and work with human language. As a final-year student, undertaking an NLP project can provide valuable experience and showcase your AI and machine learning skills.
This article will cover some Top NLP Project Ideas for 2024 that range from beginner to advanced levels, and offer both challenges and rewards.