Underwater noise targets classification has variable applications in many fields. During the
long range detection, inevitable environmental noise will decrease the recognition accuracy …

听觉外周的理论和建模已取得长足的发展, 并已广泛应用于语音信号处理. 本文集成Gammatone
听觉滤波器和Meddis 内毛细胞模型来模拟耳蜗的处理机制, 并根据水中目标辐射噪声信号的 …

This paper proposes a recognition method for extracting nonlinear characteristic parameters
of pathological voices using Bark wavelet sub-band filtering. First, the speech signal was …

Bark wavelet is a new wavelet which is especially designed for speech signal. Its base
function satisfies time and bandwidth product least. Moreover, the Bark wavelet divides …

Sequence design is a crucial problem in DNA-based computation. We introduce a simple
strategy called Template method, which can systematically generate a set of sequences …

Bark wavelet is a new wavelet which is especially designed for speech signal. Its base
function satisfies time and bandwidth product least. Moreover, the Bark wavelet divides …

The paper uses Bark wavelet filter instead of the FIR filter as front-end processor of speech
recognition system. Bark wavelet divides frequency band based on critical band and its …

Whether the performance of speech system is good or not is closely related to its
characteristic parameters. An excellent feature extraction method is a key step in forming a …

A new method based on Bark scale frequency-band partition is presented to improve the
recognition performance of cochlear implants. Using the principles of physics, it is based on …

The paper uses a new wavelet-Bark wavelet to meet critical frequency band division
demand that is consistent with the perception of the human ear to the speech frequency. It is …