Jacobio Pharmaceuticals Co., Ltd.

Baidu Online Network Technology (beijing) Co., Ltd.

Mingming Chen

Guiqun Yang

Lei Zhang

Tong Wu

Xiangang Li

Yanping Wang

Shaojing Hu

Jue Sun

Qinglong Li

Haiquan Fang

Yuelei Du

Amin Li

Haijun Li

Dai Cheng

Disclosed are tricyclic compounds as bromodomain and extra-terminal (BET) inhibitors which are shown as formula I, their synthesis and their use for treating diseases. More particularly, disclosed are fused heterocyclic derivatives useful as inhibitors of BET, methods for producing such compounds and methods for treating diseases and conditions wherein inhibition of one or more BET bromodomains provides a benefit.

Tricyclic compounds

Disclosed are tricyclic compounds as bromodomain and extra-terminal (BET) inhibitors which are shown as formula I, their synthesis and their use for treating diseases. More particularly, disclosed are fused heterocyclic derivatives useful as inhibitors of BET, methods for producing such compounds and methods for treating diseases and conditions wherein inhibition of one or more BET bromodomains provides a benefit. 

Provided are compounds of formula (I), or pharmaceutically acceptable salts thereof, which can be used for inhibiting the activity of Aurora A and treating cancer mediated by Aurora A. 

Heterocyclic compounds useful as aurora a selective inhibitors

Embodiments of the present disclosure provide a speech recognition method based on artificial intelligence, and a terminal. The method includes obtaining speech data to be recognized; performing a processing on the speech data to be recognized using a trained sub-band energy normalized acoustic model, to determine an normalized energy feature corresponding to each time-frequency unit in the speech data to be recognized; and determining text data corresponding to the speech data to be recognized according to the normalized energy feature corresponding to each time-frequency unit.

Speech recognition method based on artificial intelligence and terminal

Embodiments of the present disclosure provide a method and a device for waking up via a speech based on AI and a computer device. The method includes the followings. A windowing and framing operation is performed on an online recorded speech, to obtain at least one speech frame. A feature extraction is performed on the at least one speech frame, to obtain speech features. A calculation is performed on a static speech feature contained in the at least one speech frame through a speech wake-up model based on convolutional neural network, to obtain a first posteriori probability matched with a category of non-wake-up words and a second posteriori probability matched with a category of wake-up words. It is determined that a wake-up word is contained in the online recorded speech, when the second posteriori probability is greater than or equal to a preset threshold.

Method and device for waking up via speech based on artificial intelligence and computer device

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Beijing, China

Mingming Chen