In Al Speech & Audio Generation, my focus has been on developing algorithms and models to generate and manipulate speech and audio using artificial intelligence techniques. This involves working with deep learning architectures such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and generative adversarial networks (GANs) to synthesize natural-sounding speech and audio content.
I've worked on projects involving text-to-speech (TTS) synthesis, speech enhancement, voice conversion, and audio style transfer, utilizing AI to create and modify audio signals for various applications. Additionally, I've collaborated on research and development efforts to improve the quality, realism, and expressiveness of synthesized speech and audio.
Furthermore, I've explored applications of AI speech and audio generation in areas such as virtual assistants, gaming, accessibility, and entertainment, contributing to the advancement of voice technologies and user experiences.
