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SEQUENCE TO SEQUENCE TRANSFORMATIONS FOR SPEECH SYNTHESIS VIA RECURRENT NEURAL NETWORKS
SEQUENCE TO SEQUENCE TRANSFORMATIONS FOR SPEECH SYNTHESIS VIA RECURRENT NEURAL NETWORKS
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机译:通过递归神经网络进行语音合成的序列到序列变换的序列
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摘要
A system eliminates alignment processing and performs TTS functionality using a new neural architecture. The neural architecture includes an encoder and a decoder. The encoder receives an input and encodes it into vectors. The encoder applies a sequence of transformations to the input and generates a vector representing the entire sentence. The decoder takes the encoding and outputs an audio file, which can include compressed audio frames.
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