Abstract: The invention discloses a training method and a speech recognition method for a mixed frequency acoustic recognition model, which belongs to the technical field of speech recognition.

Abstract: The invention discloses a training method and a speech recognition method for a mixed frequency acoustic recognition model, which belongs to the technical field of speech recognition.

Abstract: Provided is a system for a robot to eliminate its own sound source, comprising a sound pickup unit (1) used for acquiring a digital signal having mixed left and right sound channels and outputting same; a sound-card driver unit (2) used for mixing the received reference signal of the robot sound source and the digital signal having mixed left and right sound channels, to form a mixed voice signal, and outputting same; a signal separation unit (3) used for separating the mixed voice signal into a digital signal having mixed left and right sound channels and a reference signal, and determining whether the digital signal having the mixed left and right sound channels contains an interference signal, obtaining a playback signal volume, and outputting same.

Abstract: A robot voice direction-seeking turning system and method. The robot voice direction-seeking turning system employs a voice activity detection unit (1) that detects a received voice signal to determine whether or not a voice signal transmitted by a user (S2) is present; a direction-seeking angle for the voice signal is calculated by a voice direction-seeking unit (3), and a voice direction-seeking turning unit (4) is employed to drive a robot to turn towards the direction of the sound source of the voice signal on the basis of a direction-seeking angle (S4). Employment of the robot voice direction-seeking turning method allows accurate acquisition of a valid voice signal transmitted by the user, thus increasing signal-to-noise ratio and the accuracy of voice recognition.

Abstract: Provided is a system for a robot to eliminate its own sound source, comprising a sound pickup unit (1) used for acquiring a digital signal having mixed left and right sound channels and outputting same; a sound-card driver unit (2) used for mixing the received reference signal of the robot sound source and the digital signal having mixed left and right sound channels, to form a mixed voice signal, and outputting same; a signal separation unit (3) used for separating the mixed voice signal into a digital signal having mixed left and right sound channels and a reference signal, and determining whether the digital signal having the mixed left and right sound channels contains an interference signal, obtaining a playback signal volume, and outputting same.

Abstract: The present invention relates to a technical field of voice interaction, especially to a voice direction searching system and the method thereof. The present invention utilizes a microphone array to collect voice signals made by an acoustic source, and utilizes multiple MEMS microphones to identify an MEMS microphone closest to the acoustic source, so that the voice direction searching system can accurately identify voice direction signals.