Google Wavenet and Amazon Polly are both high-quality text-to-speech (TTS) systems that produce natural-sounding voices. However, they differ in terms of the technology they use and the types of voices they offer. WaveNet uses a deep learning algorithm called a generative model to create waveforms of speech patterns by predicting which sounds are most likely to follow each other. This allows for more human-like emphasis and inflection on syllables, phonemes, and words, resulting in a more natural-sounding voice. Amazon Polly, on the other hand, uses a combination of machine learning algorithms and natural language processing to synthesize speech. It offers a wide range of voices in different languages, including both standard and neural voices. Neural voices are trained on real human speech samples and offer a more natural-sounding voice than standard voices. Overall, the choice between WaveNet and Amazon Polly depends on the specific needs of the user, as both systems offer high-quality TTS capabilities with different features and voice options.