Hyper-structure recurrent neural networks for text-to-speech
The technology relates to converting text to speech utilizing recurrent neural networks
(RNNs). The recurrent neural networks may be implemented as multiple modules for
determining properties of the text. In embodiments, a part-of-speech RNN module, letter-to-
sound RNN module, a linguistic prosody tagger RNN module, and a context awareness and
semantic mining RNN module may all be utilized. The properties from the RNN modules are
processed by a hyper-structure RNN module that determine the phonetic properties of the …
(RNNs). The recurrent neural networks may be implemented as multiple modules for
determining properties of the text. In embodiments, a part-of-speech RNN module, letter-to-
sound RNN module, a linguistic prosody tagger RNN module, and a context awareness and
semantic mining RNN module may all be utilized. The properties from the RNN modules are
processed by a hyper-structure RNN module that determine the phonetic properties of the …
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