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    NON-SPEECH INPUT TO SPEECH PROCESSING SYSTEM
    6.
    发明公开
    NON-SPEECH INPUT TO SPEECH PROCESSING SYSTEM 审中-公开

    公开(公告)号：US20240296829A1

    公开(公告)日：2024-09-05

    申请号：US18663831

    申请日：2024-05-14

    申请人： Amazon Technologies, Inc.

    发明人： Travis Grizzel

    IPC分类号： G10L15/01 ,  G06F3/01 ,  G10L13/00 ,  G10L15/08 ,  G10L15/18 ,  G10L15/187 ,  G10L15/24

    CPC分类号： G10L15/01 ,  G06F3/017 ,  G10L13/00 ,  G10L15/18 ,  G10L15/187 ,  G10L15/24 ,  G10L2015/088

    摘要： A system and method for associating motion data with utterance audio data for use with a speech processing system. A device, such as a wearable device, may be capable of capturing utterance audio data and sending it to a remote server for speech processing, for example for execution of a command represented in the utterance. The device may also capture motion data using motion sensors of the device. The motion data may correspond to gestures, such as head gestures, that may be interpreted by the speech processing system to determine and execute commands. The device may associate the motion data with the audio data so the remote server knows what motion data corresponds to what portion of audio data for purposes of interpreting and executing commands. Metadata sent with the audio data and/or motion data may include association data such as timestamps, session identifiers, message identifiers, etc.

    Generating Expressive Speech Audio From Text Data
    8.
    发明公开
    Generating Expressive Speech Audio From Text Data 审中-公开

    公开(公告)号：US20240290316A1

    公开(公告)日：2024-08-29

    申请号：US18656983

    申请日：2024-05-07

    申请人： Electronic Arts Inc.

    发明人： Siddharth Gururani ,  Kilol Gupta ,  Dhaval Shah ,  Zahra Shakeri ,  Jervis Pinto ,  Mohsen Sardari ,  Navid Aghdaie ,  Kazi Zaman

    IPC分类号： G10L13/00 ,  A63F13/60 ,  A63F13/63 ,  G06N3/044 ,  G06N3/08

    CPC分类号： G10L13/00 ,  A63F13/60 ,  G06N3/044 ,  G06N3/08 ,  A63F13/63 ,  A63F2300/6018

    摘要： A system for use in video game development to generate expressive speech audio comprises a user interface configured to receive user-input text data and a user selection of a speech style. The system includes a machine-learned synthesizer comprising a text encoder, a speech style encoder and a decoder. The machine-learned synthesizer is configured to generate one or more text encodings derived from the user-input text data, using the text encoder of the machine-learned synthesizer; generate a speech style encoding by processing a set of speech style features associated with the selected speech style using the speech style encoder of the machine-learned synthesizer; combine the one or more text encodings and the speech style encoding to generate one or more combined encodings; and decode the one or more combined encodings with the decoder of the machine-learned synthesizer to generate predicted acoustic features. The system includes one or more modules configured to process the predicted acoustic features, the one or more modules comprising a machine-learned vocoder configured to generate a waveform of the expressive speech audio.