仿生学语音辨识系统-凯发k8官网

as speech recognition（语音辨识） systems become more commonplace - on the computer ¹ top, at the call centre and even in the car - it is increasingly important to ensure that the voice signal is as clear as possible before it is processed by a computer and acted upon. it could mean the difference between anything from a profitable financial deal to a safe vehicle or aircraft ²（机动，演习） . similarly, mobile phone conversations and even the ³（秘密的，私下的） ⁴ of speech for security and law enforcement purposes could benefit. now, researchers at the university campus in tunis, tunisia, have published details of a speech enhancement system that uses two distinct tools to reduce the noise from a recorded or sampled voice signal. talbi mourad, salhi lotfi, abid sabeur and cherif adnane of the ⁵ of sciences of tunis, laboratory of signal processing, explain how a bionic（仿生学的） wavelet transform and a recurrent ⁶ network can be used for speech enhancement in the international journal of signal and imaging systems engineering.

"the presence of background noise in speech signal processing constitutes a very serious problem," the researchers explain. noise affects the performance of speech recognition, coding and synthesis leading to failed voice commands and errors. there are three forms of noise that speech recognition systems must cope with: convolutive, multiplicative and ⁷. it is the latter, additive noise, that can have the most impact on speech recognition and it is this form of noise that the team addresses with their approach. additive noise is often referred to as "white noise" and is commonly perceived as ⁸ background ⁹（嘶嘶声） on a sound recording.

"our proposed technique consists of ¹⁰ in an automatic manner the ¹¹ threshold set to be employed to the bionic wavelet coefficients and this is performed by using an elman neural network in the bionic wavelet domain," mourad explains.

the team demonstrated the effectiveness of their approach against f16 fighter jet cockpit（驾驶舱） noise and the noise inside a volvo car. "we have ¹² our ¹³ method on several kinds of noises and noisy speech database and the obtained results show an increase in the signal to noise ratio from 5 db to 12 db," the team says. "in speech enhancement it is necessary to achieve a compromise between noise reduction and preserving ¹⁴（可懂度，可理解性） ," adds mourad.