'Asr systems' diaporamas de présentation

Sequence Scoring Experiments Using the TIMIT Corpus and the HTK Recognition Framework

1.32k views • 110 slides

LIN3022 Natural Language Processing

841 views • 70 slides

Radboud University Nijmegen

How to handle pronunciation variation in ASR: By storing episodes in memory? Helmer Strik Centre for Language and Speech Technology (CLST) Radboud University Nijmegen, the Netherlands. Radboud University Nijmegen. Overview. Contents : Variation, invariance problem

652 views • 42 slides

Speaker Independent Arabic Speech Recognition Using Support Vector Machine

Speaker Independent Arabic Speech Recognition Using Support Vector Machine. By. Eng. Shady Yehia El-Mashad . Supervised By. Dr. Mohamed Ibrahim Sharawy. Ass. Prof. Dr. Hala Helmy Zayed. Agenda. Introduction Characteristics of Speech Signal History of Speech & Previous Research

590 views • 39 slides

Tim Schlippe , Wolf Quaschningk , Tanja Schultz

Combining Grapheme-to-Phoneme Converter Outputs for Enhanced Pronunciation Generation in Low-Resource Scenarios. Tim Schlippe , Wolf Quaschningk , Tanja Schultz. Outline. Motivation and Goals Experimental Setup Grapheme-to-phoneme converters Data Experiments and Results

556 views • 37 slides

Automatic Speech Recognition : Conditional Random Fields for ASR

Automatic Speech Recognition : Conditional Random Fields for ASR. Jeremy Morris Eric Fosler-Lussier Ray Slyh 9/19/2008. Overview. Traditional Automatic Speech Recognition (ASR) systems built using components Feature extraction Acoustic models Lexicon Language model.

399 views • 23 slides

The State of Aquifer Storage Recovery in Texas

The State of Aquifer Storage Recovery in Texas. Texas Innovative Water 2010 Advancing the Development of New Water Supplies in Texas Fred M. Blumberg Senior Associate Malcolm Pirnie, Inc. Discussion Outline. Aquifer Storage & Recovery (ASR).

235 views • 23 slides

Course Projects 40967 Speech Processing 1386-1

Course Projects 40967 Speech Processing 1386-1. Speech recognition in car environment: The challenges The latest systems and their performance Commercial aspects Special difficulties and solutions Automatic SNR estimation Forced alignment techniques for automatic adaptation of ASR systems

151 views • 4 slides