Speech Synthesizer

Speech synthesis research aims to create systems that generate natural-sounding human speech from text input. Current efforts focus on improving the efficiency and quality of neural codec language models, such as through gated attention mechanisms and refined sampling techniques, while also exploring methods for controlling speech style, accent, and emotion using techniques like adversarial training and variational autoencoders. These advancements hold significant promise for applications ranging from assistive technologies for individuals with communication impairments to creating more inclusive and expressive virtual assistants and interactive systems.