hidden markov model: videos

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1. 1▶[Fall 2023] Speech Recognition and Understanding (Lecture2: Introduction of Speech Recognition)Fall2023-SpeechRecognition&UnderstandingNotes
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2. 2▶[Fall 2023] Speech Recognition and Understanding (Lecture 4: Feature extraction)Fall2023-SpeechRecognition&UnderstandingNotes
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3. 3▶[Fall 2023] Speech Recognition and Understanding (Lecture 5: Alignments)Fall2023-SpeechRecognition&UnderstandingNotes
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4. 4▶[Fall 2023] Speech Recognition and Understanding (Lecture 9: Hidden Markov Models part III)Fall2023-SpeechRecognition&UnderstandingNotes
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5. 5▶[Fall 2023] Speech Recognition and Understanding (Lecture 10: Forward-backward algorithm for CTC)Fall2023-SpeechRecognition&UnderstandingNotes
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6. 6▶[Fall 2023] Speech Recognition and Understanding (Lecture 13: Search)Fall2023-SpeechRecognition&UnderstandingNotes
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7. 7▶[Fall 2023] Speech Recognition and Understanding (Lecture 22: Advanced topics on end-to-end ASR II)Fall2023-SpeechRecognition&UnderstandingNotes
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8. 8▶[Fall 2023] Speech Recognition and Understanding (Lecture 3: Speech Recognition Formulation)Fall2023-SpeechRecognition&UnderstandingNotes
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9. 9▶[Fall 2023] Speech Recognition and Understanding (Lecture 7: Hidden Markov Models)Fall2023-SpeechRecognition&UnderstandingNotes
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10. 10▶[Fall 2023] Speech Recognition and Understanding (Lecture 8: Hidden Markov Models part II)Fall2023-SpeechRecognition&UnderstandingNotes
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11. 11▶POS Tagging; Named Entity Recognition; Hidden Markov ModelNatural Language Processing (Spring 2024)Notes
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12. 12▶Hidden Markov Model: Parameter Estimation & Efficient InferenceNatural Language Processing (Spring 2024)Notes
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13. 13▶Midterm overviewNatural Language Processing (Spring 2024)Notes
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14. 14▶“Taskification” and Valid BenchmarksNatural Language Processing (Spring 2024)Notes
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15. 15▶Finetuning a seq2seq model in 🤗 (demo); RLHFNatural Language Processing (Spring 2024)Notes
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16. 16▶Finetuning DeBERTa in 🤗 (demo); Instruction FTNatural Language Processing (Spring 2024)Notes
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17. 17▶Transformer (Decoder); Pretraining & FinetuningNatural Language Processing (Spring 2024)Notes
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18. 18▶Attention; Transformer (Encoder)Natural Language Processing (Spring 2024)Notes
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19. 19▶Neural machine translationNatural Language Processing (Spring 2024)Notes
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20. 20▶Language modelingNatural Language Processing (Spring 2024)Notes
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21. 21▶Fall2022-SpeechRecognition&Understanding (Lecture16 - Neural Networks for Acoustic Modeling)Fall2022-SpeechRecognition&UnderstandingNotes
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22. 22▶Fall2022-SpeechRecognition&Understanding (Lecture17 - Neural Network Language Modell)Fall2022-SpeechRecognition&UnderstandingNotes
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23. 23▶Fall2022-SpeechRecognition&Understanding (Lecture13 - N-gram Language Model)Fall2022-SpeechRecognition&UnderstandingNotes
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24. 24▶Fall2022-SpeechRecognition&Understanding (Lecture14 - Intro to Deep Learning for Speech Recognition)Fall2022-SpeechRecognition&UnderstandingNotes
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25. 25▶Fall2022-SpeechRecognition&Understanding (Lecture12 - Advanced Acoustic Modeling)Fall2022-SpeechRecognition&UnderstandingNotes
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26. 26▶Fall2022-SpeechRecognition&Understanding (Lecture8 - Alignment Paths)Fall2022-SpeechRecognition&UnderstandingNotes
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27. 27▶Fall2022-SpeechRecognition&Understanding (Lecture11 - Hidden Markov Model III)Fall2022-SpeechRecognition&UnderstandingNotes
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28. 28▶Fall2022-SpeechRecognition&Understanding (Lecture10 - Hidden Markov Model II)Fall2022-SpeechRecognition&UnderstandingNotes
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29. 29▶Fall2022-SpeechRecognition&Understanding (Lecture9 - Hidden Markov Models I)Fall2022-SpeechRecognition&UnderstandingNotes
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30. 30▶Fall2022-SpeechRecognition&Understanding (Lecture7 - ESPnet tutorial2 (New Task))Fall2022-SpeechRecognition&UnderstandingNotes
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31. 31▶MIT CompBio Lecture 03 - Hashing BLAST Database Search (Fall'19)Machine Learning in Genomics - Fall 2019Notes
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32. 32▶MIT CompBio Lecture 15 - eQTLs Mediation (Fall 2019)Machine Learning in Genomics - Fall 2019Notes
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33. 33▶MIT CompBio Lecture 14 - GWAS (Fall 2019)Machine Learning in Genomics - Fall 2019Notes
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34. 34▶MIT Compbio Lecture 13 - Population Genetics (Fall 2019)Machine Learning in Genomics - Fall 2019Notes
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35. 35▶MIT Compbio Lecture 12 - Deep Learning (Fall '19)Machine Learning in Genomics - Fall 2019Notes
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36. 36▶MIT CompBio Lecture 11 - Network inference and analysis (Fall '19)Machine Learning in Genomics - Fall 2019Notes
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37. 37▶MIT CompBio Lecture 10 - Regulatory Genomics (Fall '19)Machine Learning in Genomics - Fall 2019Notes
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38. 38▶MIT CompBio Lecture 09 - Epigenomics II (Fall '19)Machine Learning in Genomics - Fall 2019Notes
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39. 39▶MIT CompBio Lecture 08 - Epigenomics I (Fall '19)Machine Learning in Genomics - Fall 2019Notes
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40. 40▶MIT CompBio Lecture 07 - RNA world, RNA-seq, RNA folding (Fall '19)Machine Learning in Genomics - Fall 2019Notes
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