The prominent and early presence of dysphonia is considered a valuable marker for
differentiation of idiopathic Parkinson's disease and parkinsonian syndromes. Objective …

Measuring the fundamental frequency of the vocal folds F 0 is recognized as an important
parameter in the assessment of speech impairments in Parkinsons disease (PD). Although a …

Non-linear and non-stationary signals are analyzed and processed in the time-frequency
(TF) domain due to interpretation simplicity. Wigner-Ville distribution (WVD) delivers a very …

In this paper, the multifeature fusion music classification algorithm and its simulation results
are studied by deep confidence networks, the multifeature fusion music database is …

The pitch period as an essential feature is used in various speech-related works. Most actual
projects collect speech signals in complex noise environments. Thus, the noise resistance of …

Music information retrieval (MIR) is developing these years rapidly. As the fundamental MIR
tasks, automatic music transcription (AMT) and expressive analysis (EA) are gaining …

针对语音通话中语音段的起始检测性能不佳, 检测语音连续性结构受到破坏的问题,
提出了一种基于特征流融合的带噪语音检测算法. 首先, 根据语音特性分别提取时域特征流 …

Particle filtering (PF) is a powerful sequential Monte Carlo (SMC) method used to estimate
hidden states of parameters of interest from noisy measurements obtained from dynamic …

We propose a complex-domain pitch estimation algorithm for narrowband speech signals,
which utilizes a complex spectrum containing both amplitude and phase spectrum …

In some situations, speech can be a disturbing source of ambient noise. Active noise control
(ANC) systems have difficulties in dealing with speech due to its non-stationary nature when …