'Best scoring path' presentation slideshows

A Revealing Introduction to Hidden Markov Models

A Revealing Introduction to Hidden Markov Models. Mark Stamp. Hidden Markov Models. What is a hidden Markov model (HMM)? A machine learning technique A discrete hill climb technique Where are HMMs used? Speech recognition Malware detection, IDS, etc., etc. Why is it useful?

1.14k views • 71 slides

Speech Recognition and HMM Learning

Speech Recognition and HMM Learning. Overview of speech recognition approaches Standard Bayesian Model Features Acoustic Model Approaches Language Model Decoder Issues Hidden Markov Models HMM Basics HMM in Speech Forward, Backward, and Viterbi Algorithms, Models

993 views • 67 slides

Sequence Similarity

683 views • 42 slides

Information Extraction Based on Extraction Ontologies: Design, Deployment and Evaluation

947 views • 36 slides

Indel rates and probabilistic alignments

Indel rates and probabilistic alignments. Gerton Lunter Budapest, June 2008. Alignment accuracy. Simulation: Jukes-Cantor model Subs/indel rate = 7.5 Aligned with Viterbi + true model. ? Observed FPF. Neutral model for indels. CGACATTAA--ATAGGCATAGCAGGACCAGATACCAGATCAAAGGCTTCAGGCGCA

413 views • 30 slides

Discriminative n-gram language modeling

Discriminative n-gram language modeling. Brian Roark, Murat Saraclar, Michael Collins. Presented by Patty Liu. Outline. Global linear models - The perceptron algorithm - Global conditional log-linear models (GCLM) Linear models for speech recognition - The basic approach

359 views • 26 slides