A Bayesian Hierarchical Model for Speech Enhancement with Time-Varying Audio Channel

Keyphrases

• Multi-channel 100%
• Speech Enhancement 100%
• Acoustic Channel 100%
• Bayesian Hierarchical Model 100%
• Audio Channel 100%
• Probabilistic Approach 50%
• Trackability 50%
• Noise Type 50%
• Single Channel 50%
• Noise Signal 50%
• Post-filtering 50%
• Speech Signal 50%
• Reverberation 50%
• Kalman Smoother 50%
• Single-channel Speech Enhancement 50%
• Speech Quality 50%
• Baseline Algorithm 50%
• Multichannel Wiener Filter 50%
• Sound Source 50%
• Minimum Variance Beamforming 50%
• Channel Tracking 50%
• Variational Expectation-maximization Algorithm 50%
• Variational 50%
• Real Room 50%
• Gaussian Prior 50%
• Linear Gaussian State Space Models 50%
• Channel Alignment 50%
• Hyperprior 50%
• Variational Expectation Maximization 50%
• Channel Estimate 50%
• Room Environment 50%
• Precision Matrix 50%
• Wishart Prior 50%
• Full Bayesian 50%

Engineering

• Multichannel 100%
• Speech Enhancement 100%
• Gaussians 50%
• Single Channel 25%
• Minimum Variance Distortionless Response Beamformer 25%
• Sound Source 25%
• Speech Signal 25%
• Expectation Maximization Algorithm 25%
• Maximization 25%
• Reverberation 25%
• Dynamic Scenario 25%
• Probabilistic Approach 25%
• Noisy Signal 25%
• Hierarchical Bayesian Approach 25%