'Speech recognizer' diaporamas de présentation

Speech Recognizer Training

2.79k views • 267 slides

Speech Recognizer Training

2.68k views • 267 slides

COMP 4060 Natural Language Processing

COMP 4060 Natural Language Processing. Speech Processing. Speech and Language Processing. Spoken Language Processing from speech to text to syntax and semantics to speech Speech Recognition human speech recognition and production acoustics signal analysis phonetics

659 views • 34 slides

74.406 Natural Language Processing - Speech Processing -

74.406 Natural Language Processing - Speech Processing -. Spoken Language Processing from speech to text to syntax and semantics to speech Speech Recognition human speech recognition and production acoustics signal analysis phonetics recognition methods (HMMs) Review.

572 views • 33 slides

Harnessing Speech Prosody for Human-Computer Interaction

Harnessing Speech Prosody for Human-Computer Interaction. Elizabeth Shriberg Andreas Stolcke Speech Technology and Research Laboratory SRI International, Menlo Park, CA International Computer Science Institute Berkeley, CA. Collaborators.

513 views • 32 slides

Speech Recognition

Speech Recognition. Yonglei Tao. Voice-Activated GPS. Voice User Interface (VUI). A VUI allows human interaction with computers through a voice/speech platform Basic components System messages Grammars Dialog logic Benefits Loosen some physical constraints such as screen size

631 views • 32 slides

Data Mining, Information Extraction and Search in Spoken Documents

Data Mining, Information Extraction and Search in Spoken Documents. Julia Hirschberg CS 4706. Today. Data mining from text Searching audio data instead of text Information extraction from spoken documents Speech data mining. Data Mining .

396 views • 29 slides

Speaker Detection Without Models

Dan Gillick July 27, 2004. Speaker Detection Without Models. Motivation. Want to develop a speaker ID algorithm that: captures sequential information takes advantage of extended data combines well with existing baseline systems. The Algorithm.

329 views • 26 slides

EEC-693/793 Applied Computer Vision with Depth Cameras

EEC-693/793 Applied Computer Vision with Depth Cameras. Lecture 12 Wenbing Zhao wenbing@ieee.org. Outline. Speech Recognition How speech recognition works Exploring Microsoft Speech API ( SAPI ) Creating your own grammar and choices for the speech recognition engine

253 views • 25 slides

EEC-693/793 Applied Computer Vision with Depth Cameras

EEC-693/793 Applied Computer Vision with Depth Cameras. Lecture 12 Wenbing Zhao wenbing@ieee.org. Outline. Speech Recognition How speech recognition works Exploring Microsoft Speech API ( SAPI ) Creating your own grammar and choices for the speech recognition engine

271 views • 25 slides

Work and research experiences

334 views • 21 slides

Location Based File Exchange Controlled By Speech (LBFE-S) Final Project (Master Thesis) By

328 views • 21 slides

Locating Singing Voice Segments Within Music Signals

Locating Singing Voice Segments Within Music Signals. Adam Berenzweig and Daniel P.W. Ellis LabROSA, Columbia University alb63@columbia.edu, dpwe@ee.columbia.edu. LabROSA. What Where Who Why you love us. The Future as We Hear It. Online Digital Music Libraries

676 views • 20 slides

CS 551/651: Structure of Spoken Language Lecture 5: Characteristics of Place of Articulation; Phonetic Transcription Joh

CS 551/651: Structure of Spoken Language Lecture 5: Characteristics of Place of Articulation; Phonetic Transcription John-Paul Hosom Fall 2008. Acoustic-Phonetic Features: Manner of Articulation Approximately 8 manners of articulation:

333 views • 20 slides

Are We Ready? A Look at the State of the Art in Speech-to-text Applications

Are We Ready? A Look at the State of the Art in Speech-to-text Applications. Marie Meteer August 2007. www.everyzing.com. Overview. Speech Recognition: The State of the Art A look back at where it came from Elements of the models State of the art performance

320 views • 20 slides

273 views • 14 slides

Speech Recognition through Neural Networks

Speech Recognition through Neural Networks. By Mohammad Usman Afzal Mohammad Waseem. Introduction.

291 views • 14 slides

Using SONIC to build a speech recognizer

Using SONIC to build a speech recognizer. Pellom & Hacioglu, ``Sonic: The University of Colorado Continuous Speech Recognizer,'' Center for Spoken Language Research Technical Report TR-CSLR-2001-01, U. Colorado, 2003. Presented by Yang Shao, CIS788K04 Wi04. Performance on standard tasks.

211 views • 13 slides

Using SONIC to build a speech recognizer

Using SONIC to build a speech recognizer. Pellom & Hacioglu, ``Sonic: The University of Colorado Continuous Speech Recognizer,'' Center for Spoken Language Research Technical Report TR-CSLR-2001-01, U. Colorado, 2003. Presented by Yang Shao, CIS788K04 Wi04. Performance on standard tasks.

214 views • 13 slides

Progress of Interspeech 2005 Information Line

Progress of Interspeech 2005 Information Line. By Team Infoline April 24, 2006. Speech Recognizer and Robust Parser. Speech Recognizer Challenging Situation No Training data, Names are there. Temp Solution New Language Model is trained based on generated corpora

146 views • 6 slides