WaveNet is a type of feedforward neural network known as a deep convolutional neural network (CNN). This can also result in unnatural sounding audio.ĭesign and ongoing research Background Ī stack of dilated casual convolutional layers The characteristics of the output speech are controlled via the inputs to the model, while the speech is typically created using a voice synthesiser known as a vocoder. The information required to generate the sounds is stored in the parameters of the model. Īnother technique, known as parametric TTS, uses mathematical models to recreate sounds that are then assembled into words and sentences. The reliance on a recorded library also makes it difficult to modify or change the voice. The result sounds unnatural, with an odd cadence and tone. It consists of large library of speech fragments, recorded from a single speaker that are then concatenated to produce complete words and sounds. The most common of these is called concatenative TTS. Most such systems use a variation of a technique that involves concatenated sound fragments together to form recognisable sounds and words. Generating speech from text is an increasingly common task thanks to the popularity of software such as Apple's Siri, Microsoft's Cortana, Amazon Alexa and the Google Assistant.
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