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Fall2023-SpeechRecognition&Understanding

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[Fall 2023] Speech Recognition and Understanding (Lecture2: Introduction of Speech Recognition)

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[Fall 2023] Speech Recognition and Understanding (Lecture 4: Feature extraction)

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[Fall 2023] Speech Recognition and Understanding (Lecture 5: Alignments)

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[Fall 2023] Speech Recognition and Understanding (Lecture 9: Hidden Markov Models part III)

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[Fall 2023] Speech Recognition and Understanding (Lecture 10: Forward-backward algorithm for CTC)

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[Fall 2023] Speech Recognition and Understanding (Lecture 13: Search)

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[Fall 2023] Speech Recognition and Understanding (Lecture 22: Advanced topics on end-to-end ASR II)

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[Fall 2023] Speech Recognition and Understanding (Lecture 3: Speech Recognition Formulation)

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[Fall 2023] Speech Recognition and Understanding (Lecture 7: Hidden Markov Models)

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[Fall 2023] Speech Recognition and Understanding (Lecture 8: Hidden Markov Models part II)

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[Fall 2023] Speech Recognition and Understanding (Lecture 11: N-gram Language Models)

[Fall 2023] Speech Recognition and Understanding (Lecture 16: DNN for Acoustic Modeling)

[Fall 2023] Speech Recognition and Understanding (Lecture 17: Neural Network Language Model)

[Fall 2023] Speech Recognition and Understanding (Lecture 18: End-to-End ASR: Attention)

[Fall 2023] Speech Recognition and Understanding (Lecture 19: End-to-End ASR: CTC)