During training, the network extracts the underlying structure of the speech, such as which tones follow each other and what a realistic speech waveform looks like. The model uses a neural network that has been trained using a large volume of speech samples. Unlike most other text-to-speech systems, a WaveNet model creates raw audio waveforms from scratch. On average, a WaveNet produces speech audio that people prefer over other text-to-speech technologies. It synthesizes speech with more human-like emphasis and inflection on syllables, phonemes, and words. Most voice synthesizers (including Apple's Siri) use concatenative synthesis, in which a program stores individual phonemes and then pieces them together to form words and sentences.Ī WaveNet generates speech that sounds more natural than other text-to-speech systems. It tries to distinguish from its competitors, Amazon and Microsoft, with distinct AI features.ĭeepMind's AI voice synthesis tech is notably advanced and realistic. Google Cloud Text-to-Speech is powered by WaveNet, software created by Google's UK-based AI subsidiary DeepMind, which was bought by Google in 2014. Apps such as textPlus and WhatsApp use Text-to-Speech to read notifications aloud and provide voice-reply functionality.
Some app developers have started adapting and tweaking their Android Auto apps to include Text-to-Speech, such as Hyundai in 2015. Google Speech-to-Text functionality Speech Services provides. Please help improve this article by introducing citations to additional sources. Power your device with the magic of Googles text-to-speech and speech-to-text technology.
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