Abstract: Systems and processes for generating audio books from text are provided. An example process includes, at an electronic device having one or more processors and memory: receiving a text including at least a first subset and a second subset, wherein at least a portion of the first subset overlaps with at least a portion of the second subset; determining, based on the text, a prosody for a speech output, wherein the prosody is representative of a genre; determining a semantic meaning of the text; and generating, based on the prosody and the semantic meaning, the speech output of the text.

Abstract: Systems and processes for operating an intelligent automated assistant to perform text-to-speech conversion are provided. An example method includes, at an electronic device having one or more processors, receiving a text corpus comprising unstructured natural language text. The method further includes generating a sequence of normalized text based on the received text corpus; and generating a pronunciation sequence representing the sequence of the normalized text. The method further includes causing an audio output to be provided to the user based on the pronunciation sequence. At least one of the sequence of normalized text and the pronunciation sequence is generated based on a data-driven learning network.

Abstract: Systems and processes for operating an intelligent automated assistant to perform text-to-speech conversion are provided. An example method includes, at an electronic device having one or more processors, receiving a text corpus comprising unstructured natural language text. The method further includes generating a sequence of normalized text based on the received text corpus; and generating a pronunciation sequence representing the sequence of the normalized text. The method further includes causing an audio output to be provided to the user based on the pronunciation sequence. At least one of the sequence of normalized text and the pronunciation sequence is generated based on a data-driven learning network.

Abstract: A processing system includes a processor to execute a neural network application comprising an operation associated with a weight parameter and an input value, and an accelerator circuit, associated with the processor, to perform the operation, the accelerator circuit comprising a weight storage device to store a bit stream encoding the weight parameter, a controller to request a bit from the bit stream, an input data storage to store the input value, and an arithmetic logic unit (ALU) comprising an accumulator circuit to store an accumulation value and an operator circuit to receive the bit and the input value, receive a control signal from the controller, and responsive to determining that the control signal is set to a first value corresponding to a first operation and that that the bit encodes a first status, increase the accumulation value, stored in the accumulation circuit, by the input value.