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Advancements in Neural Network-Based TTS (2000s)
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== Introduction == Neural network-based [[wikipedia:Speech_synthesis|Text-to-Speech]] (TTS) has a rich history, with roots dating back to early artificial intelligence research. From the 1980s' early explorations of neural networks for speech modeling to the transformative introduction of generative models like [[wikipedia:WaveNet|WaveNet]], this technology has evolved significantly. The quest for natural and expressive speech synthesis led to innovations such as articulatory features-based TTS, DNN-based acoustic modeling system, and vocoder like Tacotron and Transformer. These advancements have enhanced speech quality, prosody modeling, and even ventured into multi-modal synthesis. Looking ahead, the future of TTS holds promises of efficient synthesis, energy sustainability, and cross-lingual capabilities.
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