Voice awakening optimization method based on cascade DNN

Abstract

The invention discloses a voice awakening optimization method based on cascade DNN. The method comprises the steps that 1, a voice signal is acquired by a microphone in real time, and feature extraction is conducted to obtain frame-by-frame acoustic features of the real-time voice signal; 2, an acoustic feature sequence is intercepted according to a fixed window length to form a frame serving as first-stage DNN input; 3, forward process calculation of a first-stage DNN acoustic model is carried out, and the acoustic posterior probability of frame-by-frame phonemes is obtained through output; 4, first-stage DNN output is intercepted according to the fixed window length to form a one-frame phoneme posterior probability sequence to serve as second-stage DNN input; 5, second-stage DNN forwardprocess calculation is carried out for judgment, and whether awakening is carried out or not is output. The anti-noise capability of the DNN can be utilized to the maximum extent, the environmental adaptability is high, and the situation that a VAD is manufactured first and then awakening detection is carried out is not needed; a voice background does not need to be independently modeled; the twostages of models can be complementary, so that corpora required by training can be greatly reduced; no language model is generated, and text corpora are not needed.

Description

technical field [0001] The invention relates to a voice wake-up optimization method based on cascaded DNN. Background technique [0002] Speech, as the most common and effective way of human-human interaction, has always been an important part of the research field of human-computer communication and human-computer interaction. Human-computer voice interaction technology, which is composed of speech synthesis, speech recognition and natural language understanding, is recognized as a difficult and challenging technical field in the world. [0003] Automatic speech recognition is a key link in the human-computer intelligent interaction technology. The problem it wants to solve is to enable the computer to "understand" human speech and "strip" the text information contained in the speech signal. Technology is equivalent to installing human-like "ears" on computers, and plays a vital role in intelligent computer systems that can "hear and speak". Speech recognition is a multid...

AI Technical Summary

Problems solved by technology

[0013] The technical problem to be solved by the present invention is to overcome the shortcomings of the voice wake-up method model in the prior art that the model is relatively complicated and the anti-noise ability is poor, and provide a voice wake-up optimization method based on cascaded DNN

Images