'Spoken document' presentation slideshows

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Spoken Document Recognition, Retrieval and Summarization

Spoken Document Recognition, Retrieval and Summarization

Spoken Document Recognition, Retrieval and Summarization. Berlin Chen Associate Professor Department of Computer Science & Information Engineering National Taiwan Normal University. Outline. Introduction Related Research Work and Applications Key Techniques

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719 views • 71 slides
Spoken Document Recognition, Organization and Retrieval ????????????

Spoken Document Recognition, Organization and Retrieval ????????????

Spoken Document Recognition, Organization and Retrieval ????????????. Berlin Chen ( ??? ) Associate Professor Department of Computer Science & Information Engineering National Taiwan Normal University. 2007/05/30. Outline. Introduction Related Research Work and Applications

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743 views • 52 slides
Subproject III - Spoken Language Systems

Subproject III - Spoken Language Systems

Subproject III - Spoken Language Systems. Members: Lin-shan Lee (PI), Lee-Feng Chien (Co-PI) Hsin-min Wang (Co-PI), Berlin Chen (Co-PI) Other Participants: Sin-Horng Chen, Yih-Ru Wang

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369 views • 24 slides
ICASSP Paper Survey

ICASSP Paper Survey

ICASSP Paper Survey. Presenter: Chen Yi-Ting. Improved Spoken Document Retrieval With Dynamic Key Term Lexicon and Probabilistic Latent Semantic Analysis (PLSA) Improved Spoken Document Summarization Using Probabilistic Latent Semantic Analysis (PLSA)

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419 views • 24 slides
Pei- Ning Chen NTNU CSIE SLP Lab

Pei- Ning Chen NTNU CSIE SLP Lab

Effects of Query Expansion for Spoken Document Passage Retrieval Tomoyosi Akiba , Koichiro Honda INTERSPEECH 2011. Pei- Ning Chen NTNU CSIE SLP Lab. Outline. Introduction Passage Retrieval for Spoken Document Query Expansion for SDR Experiments Conclusions. Introduction.

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343 views • 19 slides
Automatic Spoken Document Processing for Retrieval and Browsing

Automatic Spoken Document Processing for Retrieval and Browsing

Automatic Spoken Document Processing for Retrieval and Browsing. Zahra Ahmadi. Outline. Motivation Typical speech retrieval system Works done Dealing with OOV Improvements. Motivation.

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325 views • 18 slides
Pruning Analysis for the Position Specific Posterior Lattices for Spoken Document Search

Pruning Analysis for the Position Specific Posterior Lattices for Spoken Document Search

Pruning Analysis for the Position Specific Posterior Lattices for Spoken Document Search. Jorge Silva University of Southern California. Ciprian Chelba and Alex Acero Microsoft Corporation. ICASSP2006. Presented by Shih-Hung Liu 2006/06/12. Outline. Introduction

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182 views • 18 slides

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