Spoken Language Interaction in Telecommunication at ENST/CNRS-LTCI Gérard CHOLLET, Richard CROCE, Dijana PETROVSKA-DELACRETAZ, Marc SIGELLE, Pascal VAILLANT,

Slides:

Advertisements

Similar presentations

12th september :00 – 18:30 TIMA Laboratory,

Advertisements

Chapter 9: Customer Service via Technology

Unified Communications Bill Palmer ADNET Technologies, Inc.

MAJORDOME Gérard CHOLLET, Richard CROCE, Laurence LIKFORMAN,

Becars: an Automatic Speaker Verification system

Some activities on Biometrics at ENST/CNRS-LTCI

Institut Mines-Télécom Silicon Valley Research & Open Innovation.

LABORATOIRE DINFORMATIQUE CERI 339 Chemin des Meinajariès BP AVIGNON CEDEX 09 Tél (0) Fax (0)

General Information Software Robot Benri. Characteristics 1. Connect up to 16 cameras. 2. Do six different type of detections. 3. Define sub-areas where.

Review of Chapter 2. Important concepts – The Internet is a worldwide collection of networks that links millions of businesses, government agencies, educational.

Facts about Welcome to this video from Ozeki. In this video I will present what makes Ozeki Phone System XE the Worlds best on-site software PBX for Windows.

University of Baltimore Telecommunications Technology

European Workshop on Grid-based Virtual Organisations & collaborative e-Enterprise applications Toan NGUYEN May 30th, 2003 London (UK) Business models,

Toward the Paris-Saclay University 17/12/2014 toward the UPSay Jean Zinn-Justin Since at least two decades, at the government level, there is constant.

Speech in Multimedia Hao Jiang Computer Science Department Boston College Oct. 9, 2007.

Sean Powers Florida Institute of Technology ECE 5525 Final: Dr. Veton Kepuska Date: 07 December 2010 Controlling your household appliances through conversation.

Dialogue – Driven Intranet Search Suma Adindla School of Computer Science & Electronic Engineering 8th LANGUAGE & COMPUTATION DAY 2009.

Speaker Recognition G. CHOLLET, G. GRAVIER,

Digital audio and computer music COS 116: 2/26/2008.

1 Towards a better transcultural understanding through distance education. Towards a better transcultural understanding through.

1 Distance education : What could technology offer ? Gérard CHOLLET ENST/CNRS-LTCI 46 rue Barrault PARIS cedex 13

Make your messaging reliable use it Messaging. A single and global solution Send, receive and process any type of message through the appropriate channel.

Exchange 2007 Overview. What Will We Cover? New features in Microsoft® Exchange 2007 The Exchange Management Console The Exchange Management Shell New.

Chapter 5 Application Software.

ICT at Work Global Communication.

1 Accessing the Global Database The World Wide Web.

© 2008 Cisco Systems, Inc. All rights reserved.CIPT1 v6.0—2-1 Administering Cisco Unified Communications Manager Understanding Cisco Unified Communications.

Chapter 4 – Slide 1 Effective Communication for Colleges, 10 th ed., by Brantley & Miller, 2005© Technology and Electronic Communication.

1 Application Software What is application software?  Programs that perform specific tasks for users.

17.0 Distributed Speech Recognition and Wireless Environment References: 1. “Quantization of Cepstral Parameters for Speech Recognition over the World.

Temple University QUALITY ASSESSMENT OF SEARCH TERMS IN SPOKEN TERM DETECTION Amir Harati and Joseph Picone, PhD Department of Electrical and Computer.

1 Information Retrieval Acknowledgements: Dr Mounia Lalmas (QMW) Dr Joemon Jose (Glasgow)

Content Extraction in Majordome Overall Objective: Quick detection of short information elements for Message Filtering and Reporting to User Functional.

PMS Software Ltd Electronic Communications A Guide.

MINES ParisTech : MINES ParisTech: an overview 2013 people: 745 permanent staff, 1270 students 15 research centers 4 sites Final honors courses:

© Paradigm Publishing Inc. 5-1 Chapter 5 Application Software.

NETWORK HARDWARE AND SOFTWARE MR ROSS UNIT 3 IT APPLICATIONS.

A. MEDDAHI (TERENA Networking Conference 2001, ANTALYA, TURKEY 14~17 May) 1 MEDDAHI Ahmed (Ecole Nouvelle d Ingénieurs en Communication) E.N.I.C Cité Scientifique,

1 INRIA’s strategy Jean-Pierre Banâtre. 2 Some figures. About 3,500 persons including: –1,600 employed by INRIA –staff from partner institutions –personnel.

Digital audio and computer music COS 116, Spring 2010 Adam Finkelstein Slides and demo thanks to Rebecca Fiebrink.

Appendix A Implementing Unified Messaging. Appendix Overview Overview of Telephony Introducing Unified Messaging Configuring Unified Messaging.

Artificial Intelligence 2004 Speech & Natural Language Processing Speech Recognition acoustic signal as input conversion into written words Natural.

Preparing for the 2008 Beijing Olympics : The LingTour and KNOWLISTICS projects. MAO Yuhang, DING Xiao-Qing, NI Yang, LIN Shiuan-Sung, Laurence LIKFORMAN,

IP Columbia Prof. Henning Schulzrinne Internet Real-Time Laboratory Department of Computer Science Columbia University.

1 INTEGRATION OF THE TEXTUAL DATA FOR INFORMATION RETRIEVAL : RE-USE THE LINGUISTIC INFORMATION OF VICINITY Omar LAROUK ELICO -ENS SIB University of Lyon-France.

AMSP : Advanced Methods for Speech Processing An expression of Interest to set up a Network of Excellence in FP6 Prepared by members of COST-277 and colleagues.

Introduction to Information Retrieval Example of information need in the context of the world wide web: “Find all documents containing information on computer.

S PEECH T ECHNOLOGY Answers to some Questions. S PEECH T ECHNOLOGY WHAT IS SPEECH TECHNOLOGY ABOUT ?? SPEECH TECHNOLOGY IS ABOUT PROCESSING HUMAN SPEECH.

© 2013 by Larson Technical Services

ARTIFICIAL INTELLIGENCE FOR SPEECH RECOGNITION. Introduction What is Speech Recognition?  also known as automatic speech recognition or computer speech.

1 Galatea: Open-Source Software for Developing Anthropomorphic Spoken Dialog Agents S. Kawamoto, et al. October 27, 2004.

金聲玉振 Taiwan Univ. & Academia Sinica 1 Spoken Dialogue in Information Retrieval Jia-lin Shen Oct. 22, 1998.

NATURAL LANGUAGE PROCESSING Zachary McNellis. Overview  Background  Areas of NLP  How it works?  Future of NLP  References.

Repositories, mandates and author’s rights management : does it really work ? Report on development in France Jean-François Lutz, University Henri Poincaré.

Chapter 7 Speech Recognition Framework  7.1 The main form and application of speech recognition  7.2 The main factors of speech recognition  7.3 The.

Preparing for the 2008 Beijing Olympics : The LingTour and KNOWLISTICS projects. MAO Yuhang, DING Xiao-Qing, NI Yang, LIN Shiuan-Sung, Laurence LIKFORMAN,

Competence Centre on Information Extraction and Image Understanding for Earth Observation PLATO for Information Mining in Satellite Imagery Soufiane RITAL,

Message Source Linguistic Channel Articulatory Channel Acoustic Channel Observable: MessageWordsSounds Features Bayesian formulation for speech recognition:

 Internet –INTERnational NETwork is the network of computer networks.  It is a Wide Area Network(WLAN).You can have unlimited access to internet. 

The Internet Technological Background. Topic Objectives At the end of this topic, you should be able to do the following: Able to define the Internet.

Definition, purposes/functions, elements of IR systems Lesson 1.

0 AndreXen – All rights reserved 2010 – 28 rue de Chateaudun – Paris – – September, 2009 Worldclass Unified.

SPEECH TECHNOLOGY An Overview Gopala Krishna. A

Introduction to Technology Infrastructure

3.0 Map of Subject Areas.

Datamining : Refers to extracting or mining knowledge from large amounts of data Applications : Market Analysis Fraud Detection Customer Retention Production.

Introduction to Technology Infrastructure

Command Me Specification

Artificial Intelligence 2004 Speech & Natural Language Processing

Presentation transcript:

Spoken Language Interaction in Telecommunication at ENST/CNRS-LTCI Gérard CHOLLET, Richard CROCE, Dijana PETROVSKA-DELACRETAZ, Marc SIGELLE, Pascal VAILLANT, François YVON ENST/CNRS-LTCI 46 rue Barrault PARIS cedex 13

Outline What is ENST/CNRS-LTCI ? Research and application topics: The SIROCCO project The EUREKA !2340 MAJORDOME project VoIP, VoiceXML, Human-Computer Interaction Perspectives

ENST: Ecole Nationale Supérieure des Télécommunications CNRS: Centre National de la Recherche Scientifique LTCI: Laboratoire de Traitement et Communication de lInformation Our affiliations

What is ENST? Ecole Nationale de Télécommunications classed among the Grandes Ecoles d'Ingénieurs. 250 state certified engineers each year. part of Groupement des Ecoles de Télécommunications

GET : Groupement des Ecoles de Télécommunication ENST ENST-Bretagne in Brest Institut National des Télécommunications in Évry Eurecom in Sophia-Antipolis ENIC (Ecole Nouvelle dIngénieurs en Télécoms) in Lille Institut des Applications Avancées de lInternet in Marseille

Academic departments within ENST COMELEC : Communications, Electronic, VLSI, … INFRES : Computer Science, Networking, NLP, … TSI : Signal and Image Processing, Speech, … EGSH : Economy, Management, Social Sciences, …

TSI Department : Signal and Image Processing "Image Processing and Understanding" "Statistical Signal Processing Applied to Communications" "Perception, Learning and Modelling" Very Low Bit Rate Speech Coding Speech Recognition, Speaker Verification "Coding" Speech and Sound compression "Audio, Acoustics and Waves" acoustical antennas, audio protheses

SIROCCO project Unlimited Vocabulary Speech Recognition INRIA (IRISA et LORIA), LIA, IRIT, ENST-LTCI

SIROCCO Unlimited vocabulary speech recognition system French lexicon (MathLex) with 64kwords (AUF task) Feature extraction with Spro (G. Gravier) Context-dependent HMM phone models Word pronunciation graph Uses CMU-Toolkit for Language modeling Beam search for word hypothesis Rescoring of word hypothesis by A*

«MAJORDOME» Unified Messaging System Eureka Projet no 2340 EDFHolistique D. Bahu-Leyser, G. Chollet, R. Croce, K. Hallouli, J. Kharroubi, D. Kofman, L. Likforman, E. Matta-Sanchez, D. Petrovska, M. Sigelle, P. Vaillant, F. Yvon

Majordomes Functionalities Speaker verification Dialogue Routing Updating the agenda Automatic summary Voice Fax

Overview of Majordome Background tasks (server-side only): sorting and filtering messages from different sources ( , voice, fax, SMS,…); extracting relevant information for reporting to user (names of senders, subject,…). Dialogue with the user: over phone or Web. The system presents the state of the mailbox, the type of messages, their sender, subject, and may sum them up or read them on request; The users access their mailbox, addressbook, time schedule, or URIs (Web addresses).

Voice technology in Majordome Server side background tasks: continuous speech recognition applied to voice messages upon reception Detection of sender name and subject User interaction: Speakers identification Speech recognition (receiving users commands through voice interaction) Text-to-speech synthesis (reading text summaries, s or faxes)

Voice Over IP Platform Network /11 Network /11 Visio con ference VTHD Renater Unisphere ERX-700 1Gbps (FO Interne) ENST-Paris RTC/RNIS Intranet GK PBX GWIPVR 1Gbps Cisco Catalyst 6507 Salle C-234 Salle PBX Salle C-234 Network /11 Video Server Distance Learning Service

Majordome partners

Majordome / NetCentrex project IP-VR NetCentrex Recorder Machine Usual # NetCentrex # Calling person Is the called person here ? Vocal Usual user called PABX /Gateway ENST -Call Control Server -Application Server No response NetCentrex user called

Majordome / NetCentrex project Usual # NetCentrex # IP-VR NetCentrex Calling person PABX /Gateway ENST -Call Control Server -Application Server Usual user called Voice Interactive call Speaker verification Dialogue Vocal Routing Updating the agenda Automatic summary No response NetCentrex user called

A framework: A L I S P A utomatic L anguage I ndependent S peech P rocessing with applications in Speech Coding, Synthesis, Recognition, Speaker Verification and Language Identification

Perspectives The application context of the Majordome project could be of interest to COST-278. The Majordome/NetCentrex platform could be made available to interested partners. HTK, ISIP and SIROCCO softwares are available as freeware. One of them will be used on the NetCentrex platform.