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This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition and domain adaptation. This useful toolkit enables readers to apply machine learning techniques to address practical issues, such as robustness under adverse acoustic environments and domain mismatch, when deploying speaker recognition systems. Presenting state-of-the-art machine learning techniques for speaker recognition and featuring a range of probabilistic models, learning algorithms, case studies, and new trends and directions for speaker recognition based on modern machine learning and deep learning, this is the perfect resource for graduates, researchers, practitioners and engineers in electrical engineering, computer science and applied mathematics.
Research suggests that an 8-week mindfulness-based cognitive therapy
(MBCT) course may be effective for generalised anxiety disorder
To compare changes in anxiety levels among participants with GAD randomly
assigned to MBCT, cognitive–behavioural therapy-based psychoeducation and
In total, 182 participants with GAD were recruited (trial registration
number: CUHK_CCT00267) and assigned to the three groups and followed for
5 months after baseline assessment with the two intervention groups
followed for an additional 6 months. Primary outcomes were anxiety and
Linear mixed models demonstrated significant group × time interaction
(F(4,148) = 5.10, P = 0.001) effects
for decreased anxiety for both the intervention groups relative to usual
care. Significant group × time interaction effects were observed for
worry and depressive symptoms and mental health-related quality of life
for the psychoeducation group only.
These results suggest that both of the interventions appear to be
superior to usual care for the reduction of anxiety symptoms.
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