'Word sequence' presentation slideshows

Speech Recognition

2.72k views • 271 slides

Decoding

Decoding. Bhiksha Raj and Rita Singh. Recap and Lookahead. Covered so far: String Matching based Recognition Introduction to HMMs Recognizing Isolated Words Learning word models from continuous recordings Building word models from phoneme models

1.98k views • 175 slides

Design and Implementation of Speech Recognition Systems

1.05k views • 94 slides

CS 224S / LINGUIST 285 Spoken Language Processing

CS 224S / LINGUIST 285 Spoken Language Processing. Dan Jurafsky Stanford University Spring 2014 Lecture 3 : ASR: HMMs, Forward, Viterbi. Outline for Today. ASR Architecture Decoding with HMMs Forward Viterbi Decoding How this fits into the ASR component of course

863 views • 71 slides

Design and Implementation of Speech Recognition Systems

Design and Implementation of Speech Recognition Systems. Spring 2014 Class 13: Training with continuous speech 26 Mar 2014. Training from Continuous Recordings. Thus far we have considered training from isolated word recordings

600 views • 51 slides

SPEECH RECOGNITION:

SPEECH RECOGNITION:. An Overview of Statistical Modeling of Acoustics. Joseph Picone, PhD Intelligent Electronic Systems Human and Systems Engineering Department of Electrical and Computer Engineering. Abstract and Biography.

491 views • 37 slides

EE3J2 Data Mining Lecture 2 Statistical Analysis of Texts Martin Russell

EE3J2 Data Mining Lecture 2 Statistical Analysis of Texts Martin Russell. Example Text.

444 views • 34 slides

A Path-based Transfer Model for Machine Translation

A Path-based Transfer Model for Machine Translation. Dekang Lin presented by Joshua Johanson. Training. Get a parallel corpus Source language is in dependency trees The text is word-aligned Extract the paths from dependency trees Learn translation rules from the paths using word alignment.

432 views • 31 slides

Discriminative Training in Speech Processing

Discriminative Training in Speech Processing. Filipp Korkmazsky LORIA. Content. Bayes Decision Theory and DiscriminativeTraining Minimum Classification Error(MCE) Training Generalized Probabilistic Descent(GPD) algorithm MCE Training versus Maximum Mutual

517 views • 27 slides

Unit 11 How to Be True to Yourself

Unit 11 How to Be True to Yourself. Overall Arrangement . 1. Pre-reading Discussion and Sharing What is your motto, if any?(4-6 students to be invited to talk about their mottoes) 2. Text Study: A Multi-layer Reading of the Text 2.1 Global Understanding Language points in context

518 views • 27 slides

Advisor ? Dr. Hsu Presenter ? Yu Cheng Chen Author: YU-SHENG LAI AND CHUNG-HSIEN WU

Meaningful term extraction and discriminative term selection in text categorization via unknown-word methodology. Advisor ? Dr. Hsu Presenter ? Yu Cheng Chen Author: YU-SHENG LAI AND CHUNG-HSIEN WU. ACM Transactions on Asian Language Information Processing, 2002, Pages 34-64. Outline.

287 views • 27 slides

An Evaluation of Lattice Scoring using A Smoothed Estimate of Word Accuracy

An Evaluation of Lattice Scoring using A Smoothed Estimate of Word Accuracy. Mohamed Kamel Omar and Lidia Mangu ICASSP 2007 IBM T.J. Watson Research Center. Outline. Introduction Problem formulation Implementation MSWA algorithm MSWA-CN algorithm Experiments and results Conclusions.

287 views • 16 slides

Chen, Yi-wen Dept. of Computer Science & Information Engineering

2012 ICASSP. Semantic Query Expansion and Context-based Discriminative Term Modeling for Spoken Document Retrieval. Tsung-wei Tu , Hung- yi Lee, Yu- yu Chou, Lin- shan Lee. Chen, Yi-wen Dept. of Computer Science & Information Engineering National Taiwan Normal University. ? 2012/4/17.

196 views • 10 slides

Multiple Word DNA Computing on Surfaces

Multiple Word DNA Computing on Surfaces. L. Wang, Q. Liu, R.M. Corn, A.E. Condon, and L.M. Smith Journal of the American Chemical Society , vol. 122, no. 31, pp. 7435-7440, August 2000 Cho, Dong-Yeon. Previous Study. Complement sequence. E . coli exonuclease I. DNA Word Strategy.

183 views • 8 slides