1. A method performed by data processing apparatus, the method comprising: obtaining data indicating a set of linguistic features corresponding to a text; providing (i) data indicating the linguistic features and (ii) data indicating the language of the text as input to a neural network that has been trained to provide output indicating prosody information for multiple languages, the neural network having been trained using speech in multiple languages; receiving, from the neural network, output indicating prosody information for the linguistic features; and generating audio data representing the text using the output of the neural network.
1. A method performed by data processing apparatus, the method comprising: obtaining data indicating a set of linguistic features corresponding to a text; providing (i) data indicating the linguistic features and (ii) data indicating the language of the text as input to a neural network that has been trained to provide output indicating prosody information for multiple languages, the neural network having been trained using speech in multiple languages; receiving, from the neural network, output indicating prosody information for the linguistic features; and generating audio data representing the text using the output of the neural network. 6. The method of claim 1 , further comprising determining multiple linguistic groups within the set of linguistic features, each of the multiple linguistic groups including a different portion of the set of linguistic features; wherein providing (i) data indicating the linguistic features and (ii) data indicating the language of the text as input to the neural network comprises providing, for each of the multiple linguistic groups, data indicating the linguistic features in the linguistic group and data indicating the language of the text; wherein receiving, from the neural network, the output indicating prosody information for the linguistic features comprises receiving, from the neural network, a set of output indicating prosody information for each of the multiple linguistic groups; and wherein generating the audio data representing the text using the output of the neural network comprises: using the output of the neural network to determine a fundamental frequency contour for each of the multiple linguistic groups; concatenating the fundamental frequency contours for the multiple linguistic groups to generate a continuous fundamental frequency contour for the text; and generating the audio representation using the continuous fundamental frequency contour.