Text-to-Speech (TTS) and Speech-to-Text (STT)
Text-to-Speech (TTS) and Speech-to-Text (STT) systems are essential technologies that convert written text into human-like speech and spoken language into text, respectively. The goal is to create natural-sounding TTS systems and highly accurate STT systems to facilitate accessibility and improve human-computer interaction. These projects employ deep learning techniques, such as CNNs for feature extraction and RNNs for sequence processing, with pre-trained models like Tacotron and WaveNet playing a significant role. TTS and STT systems enhance accessibility for visually impaired individuals and streamline interactions with digital devices through voice commands. Future advancements may include better handling of diverse accents and dialects, real-time processing, and more natural intonation and expressiveness in TTS systems. TTS and STT technologies are crucial for making digital content accessible and interactive, with ongoing advancements promising even more seamless integration into everyday life.
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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.