Nanjing Horizon Robotics Technology Co., Ltd.

Changbao Zhu

Jianwei Niu

Ding Liu

Yuxiang Hu

This disclosure provides a voice interaction method and apparatus. At least one target device is determined from various electronic devices by receiving a wakeup signal sent by at least one wakeup device in the various electronic devices in response to a voice instruction of a user. Each target device is instructed to recognize a semantic meaning of the voice instruction to obtain semantic information, so as to determine a first response device in the various target devices based on the semantic information. In this case, the first response device is enabled to respond to the voice instruction. In this way, a problem that it is difficult for a plurality of devices to interact with the user accurately is resolved, thereby facilitating user experience.

Voice interaction method and apparatus

Disclosed is a method and an apparatus for recognizing speech, and the method comprises: separating an input audio signal into at least two separated signals; generating a denoised signal at a current frame; performing a preliminary recognition on each interesting signal at the current frame; and performing a recognition decision according to a recognition score of each interesting signal at the current frame. The method and apparatus of the present disclosure deeply integrate an array signal processing and a speech recognition and use multiway recognitions such that a good recognition rate may be obtained even in a case of a low signal-to-noise ratio.

Method and apparatus for multiway speech recognition in noise

A method and an apparatus for reducing noise of mixed signal are disclosed. The method includes: separating a collected mixed signal to obtain a first signal and a second signal; selecting one of the first signal and the second signal as a current reference signal, and the other as a current expected signal; and performing adaptive filtering based on the selected current reference signal and the selected current expected signal. By the method and the apparatus, the noise can be reduced significantly or removed in a case where reference signal cannot be directly obtained from a hardware.

Method and apparatus for reducing noise of mixed signal

Disclosed are a method and an apparatus for blind signal separation and an electronic device. The method includes modeling a sound source with a complex Gaussian distribution to determine a probability density distribution of the sound source; updating a blind signal separation model based on the probability density distribution; and separating an audio signal with the updated blind signal separation model to obtain a plurality of separated output signals. In this way, the blind signal separation model may be updated through the probability density distribution of the sound source obtained based on the complex Gaussian distribution, thereby effectively improving separation performance of a blind signal separation algorithm in specific scenario.

Growing community of inventors

Nanjing, China

Changbao Zhu