Other

Honeywell International Inc.

Shandong Rientech Medical Tech Co., Ltd.

Wang, Luning

Luning Wang

Wei Yang

Chao Zhou

Zhiyong Dai

Yanwei Zhao

Shoutao Lu

Yuxia Yin

Haijun Zhang

Disclosed is a degradable zinc base alloy implant material comprising, by mass percentage content, 0.01 wt % to 14 wt % of Fe, 0 wt % to 13 wt % of functional elements and the remainder being Zn and a preparation method and use thereof. During preparation, Zn, Fe, and the functional elements are homogeneously mixed and placed into a high-purity graphite crucible and smelted together under a mixed gas atmosphere of SFand CO. The mechanical properties of the zinc base alloy implant material have been significantly improved, so that the implant material is easy to process and shape, and so that the properties of strength and plasticity, etc., meet the basic requirements of human body implant materials, such as vascular stents, orthopedic internal fixation systems, and the like.

Degradable zinc base alloy implant material and preparation method and use thereof

A method for initializing a device for performing acoustic speech recognition (ASR) using an ASR model, by a computer system including at least one processor and a system memory element. The method includes obtaining a plurality of voice data articulations of predetermined phrases, by the at least one processor via a user interface. The plurality of voice data articulations includes a first quantity of audio samples of actual articulated voice data, and each of the plurality of voice data articulations includes one of the audio samples including acoustic frequency components. The method further includes performing a plurality of augmentations to the plurality of voice data articulations of predetermined phrases, to generate a corpus audio data set that includes the first quantity of audio samples and a second quantity of audio samples including augmented versions of the first quantity of audio samples.

Methods and systems for cockpit speech recognition acoustic model training with multi-level corpus data augmentation

Growing community of inventors

Beijing, China

Luning Wang