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We present an information fusion approach to the robust recognition of multi-microphone speech. It is based on a deep learning framework with a large deep neural network (DNN) consisting of subnets designed from different perspectives. Multiple knowledge sources are then reasonably integrated via an early fusion of normalized noisy features with multiple beamforming techniques, enhanced speech features,...
A Concept-to-Speech (CTS) system converts the conceptual representation of a sentence-to-be-spoken into speech. While some CTS systems consist of independently built text generation and Text-to-Speech (TTS) modules, the majority of the existing CTS systems enhance the connection between these two modules with a prosodic prediction module that utilizes linguistic knowledge from the text generator to...
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