In this study, formant tracking is investigated by refining the formants tracked by an existing
data-driven tracker, DeepFormants, using the formants estimated in a model-driven manner …

针对因入境时间短, 组帧错误等原因导致的卫星帆板温度遥测数据缺失问题,
提出一种基于引入注意力机制的时间卷积网络(SE-TCN) 的自回归预测方法 …

Speech is the most common mode of human communication. As shown in Figure 1.1, the
process of communication involves three main events: the production of speech, the …

Formants are the spectral maxima that result from acoustic resonances of the human vocal
tract, and their accurate estimation is among the most fundamental speech processing …

Formants are major resonances in the vocal tract system. Identification of formants is
important for study of speech. In the literature, formants are typically identified by first …

This thesis explores the development and validation of advanced Machine Learning (ML)
and Deep Learning (DL) algorithms for detecting Distributed Denial of Service (DDoS) …

Formant estimation from vowel segments, is very useful for linguistic purposes. Traditionally,
formants are estimated using classical signal processing methods and statistical models …

In speaking or singing, a source sound coming from the larynx is filtered by the vocal tract.
Formants, the peaks of the resulting spectrum, determine the vowel and the timbre of the …

This paper proposes an autoregressive prediction method based on time convolutional
network with attentional mechanism (time convolution network with squeeze and excitation …

Creating stimuli for studies on the categorical perception of speech sounds involves 4
manual manipulation of acoustic parameters (eg, pitch contours for lexical tone perception, 5 …