Robust speech recognition based on multi-objective learning with GRU network

Engineering

• Deep Neural Network 33%
• Error Rate 33%
• Experimental Result 33%
• Joints (Structural Components) 33%
• Main Target 33%
• Network Parameter 33%
• Network Training 33%
• Original Structure 33%
• Posterior Probability 33%
• Power Spectra 100%
• Recurrent 100%
• Robust Speech Recognition 100%
• Speech Enhancement 100%
• Tasks 66%

Computer Science

• Deep Neural Network 33%
• Experimental Result 33%
• Feature Information 33%
• Feature Mapping 66%
• Gated Recurrent Unit 100%
• Mel Frequency Cepstral Coefficient 33%
• Multiobjective 100%
• Network Parameter 33%
• Posterior Probability 33%
• Robust Speech Recognition 100%
• Speech Enhancement 100%