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Related Questions
- What are the key differences between traditional speech recognition algorithms and machine learning-based methods like deep learning?
- How do convolutional neural networks (CNNs) and recurrent neural networks (RNNs) contribute to improved speech recognition in noisy environments?
- What role does acoustic feature extraction play in the performance of deep learning-based speech recognition systems?
- How do techniques such as noise reduction and speaker normalization enhance the robustness of speech recognition in challenging environments?
- Can you explain the concept of 'teacher-student' training in deep learning-based speech recognition and its benefits?
- What are the advantages of using transfer learning and pre-trained models for speech recognition tasks in noisy environments?
- How do attention mechanisms and neural architecture search (NAS) techniques improve the performance of deep learning-based speech recognition systems?
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