《A tutorial of hidden markov models and selected applications in speech recognition》
《A tutorial of hidden markov models and selected applications in speech recognition》 ——Lawrence R. Rabiner 雖然馬爾可夫、隱馬爾科夫模型的統計方法在20世紀60年代末和70年代初被首次引入和研究，但在最近幾年卻越來越流行。出現這種情況有兩個重要原因。首先，該模型具有非常豐富的數學結構，因此可以
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相關文章
- 1. Hidden Markov Model - A Tutorial
- 2. 2000_wideband extension of telephone speech using a hidden Markov model
- 3. Tagging Problems and Hidden Markov Models
- 4. Chapter 6. Hidden Markov and Maximum Entropy Models
- 5. Hidden Markov Models
- 6. Analysis of Drifting Dynamics with Neural Network Hidden Markov Models
- 7. Micheal Collins nlp課程筆記（二）Tagging Problems and Hidden Markov Models
- 8. Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
- 9. Almost Unsupervised Text to Speech and Automatic Speech Recognition
- 10. Hidden Markov Model