Speech waveform perturbation analysis revisited

Speech waveform perturbation analysis

Spectral tilt as a perturbation-free measurement of noise levels in voice signals

Acoustic analysis of voice quality proves useful in the objective assessment of voice disorders and for motivating new components for use in improving voice synthesis. A commonly used quantitative spectral index is the harmonicsto-noise ratio (HNR), which gives gross information regarding speech signal periodicity. However, as the measure is sensitive to all forms of waveform aperiodicities (no...

Crafting Adversarial Examples For Speech Paralinguistics Applications

Computational paralinguistic analysis is increasingly being used in a wide range of applications, including securitysensitive applications such as speaker verification, deceptive speech detection, and medical diagnostics. While state-ofthe-art machine learning techniques, such as deep neural networks, can provide robust and accurate speech analysis, they are susceptible to adversarial attacks. ...

Analysis and perception of speech under physical task stress

It is known that speech under physical task stress degrades speech system performance. Therefore, an analysis of speech under physical task stress is performed across several parameters to identify acoustic correlates. Formal listener tests are also performed to determine the relationship between acoustic correlates and perception. To verify the statistical significance of all results, student-...

Overview of Code Excited Linear Predictive Coder

Advances in speech coding technologies have enabled speech coders to achieve bit-rate reductions at a great extent while maintaining roughly the same speech quality. One of the most important driving forces behind this feat is the analysis-by-synthesis paradigm. Code Excited Linear Predictive coder (CELP) is the quite efficient closed loop analysis-by-synthesis method for narrow and medium band...