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Advanced Social Interaction with Agents : 8th International Workshop on Spoken Dialog Systems / / edited by Maxine Eskenazi, Laurence Devillers, Joseph Mariani
Advanced Social Interaction with Agents : 8th International Workshop on Spoken Dialog Systems / / edited by Maxine Eskenazi, Laurence Devillers, Joseph Mariani
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXI, 258 p. 60 illus., 34 illus. in color.)
Disciplina 005.437
4.019
Collana Lecture Notes in Electrical Engineering
Soggetto topico User interfaces (Computer systems)
Signal processing
Image processing
Speech processing systems
Robotics
Automation
User Interfaces and Human Computer Interaction
Signal, Image and Speech Processing
Robotics and Automation
ISBN 3-319-92108-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Chat-based Agents .-Multi-domain Dialog system .-Human-Robot Interaction -- Social Dialog policy -- Advanced Dialog system architecture.
Record Nr. UNINA-9910337614003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Crowdsourcing for speech processing [[electronic resource] ] : applications to data collection, transcription and assessment / / editors, Maxine Eskénazi ... [et al.]
Crowdsourcing for speech processing [[electronic resource] ] : applications to data collection, transcription and assessment / / editors, Maxine Eskénazi ... [et al.]
Pubbl/distr/stampa Chichester, : Wiley, 2013
Descrizione fisica 1 online resource (358 p.)
Disciplina 006.4/54
Altri autori (Persone) EskenaziMaxine
Soggetto topico Speech processing systems - Research
Human computation
Data mining
ISBN 1-118-54124-3
1-118-54127-8
1-299-18893-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CROWDSOURCING FOR SPEECH PROCESSING; Contents; List of Contributors; Preface; 1 An Overview; 1.1 Origins of Crowdsourcing; 1.2 Operational Definition of Crowdsourcing; 1.3 Functional Definition of Crowdsourcing; 1.4 Some Issues; 1.5 Some Terminology; 1.6 Acknowledgments; References; 2 The Basics; 2.1 An Overview of the Literature on Crowdsourcing for Speech Processing; 2.1.1 Evolution of the Use of Crowdsourcing for Speech; 2.1.2 Geographic Locations of Crowdsourcing for Speech; 2.1.3 Specific Areas of Research; 2.2 Alternative Solutions; 2.3 Some Ready-Made Platforms for Crowdsourcing
2.4 Making Task Creation Easier2.5 Getting Down to Brass Tacks; 2.5.1 Hearing and Being Heard over the Web; 2.5.2 Prequalification; 2.5.3 Native Language of the Workers; 2.5.4 Payment; 2.5.5 Choice of Platform in the Literature; 2.5.6 The Complexity of the Task; 2.6 Quality Control; 2.6.1 Was That Worker a Bot?; 2.6.2 Quality Control in the Literature; 2.7 Judging the Quality of the Literature; 2.8 Some Quick Tips; 2.9 Acknowledgments; References; Further reading; 3 Collecting Speech from Crowds; 3.1 A Short History of Speech Collection; 3.1.1 Speech Corpora; 3.1.2 Spoken Language Systems
3.1.3 User-Configured Recording Environments3.2 Technology for Web-Based Audio Collection; 3.2.1 Silverlight; 3.2.2 Java; 3.2.3 Flash; 3.2.4 HTML and JavaScript; 3.3 Example: WAMI Recorder; 3.3.1 The JavaScript API; 3.3.2 Audio Formats; 3.4 Example: The WAMI Server; 3.4.1 PHP Script; 3.4.2 Google App Engine; 3.4.3 Server Configuration Details; 3.5 Example: Speech Collection on Amazon Mechanical Turk; 3.5.1 Server Setup; 3.5.2 Deploying to Amazon Mechanical Turk; 3.5.3 The Command-Line Interface; 3.6 Using the Platform Purely for Payment; 3.7 Advanced Methods of Crowdsourced Audio Collection
3.7.1 Collecting Dialog Interactions3.7.2 Human Computation; 3.8 Summary; 3.9 Acknowledgments; References; 4 Crowdsourcing for Speech Transcription; 4.1 Introduction; 4.1.1 Terminology; 4.2 Transcribing Speech; 4.2.1 The Need for Speech Transcription; 4.2.2 Quantifying Speech Transcription; 4.2.3 Brief History; 4.2.4 Is Crowdsourcing Well Suited to My Needs?; 4.3 Preparing the Data; 4.3.1 Preparing the Audio Clips; 4.3.2 Preprocessing the Data with a Speech Recognizer; 4.3.3 Creating a Gold-Standard Dataset; 4.4 Setting Up the Task; 4.4.1 Creating Your Task with the Platform Template Editor
4.4.2 Creating Your Task on Your Own Server4.4.3 Instruction Design; 4.4.4 Know the Workers; 4.4.5 Game Interface; 4.5 Submitting the Open Call; 4.5.1 Payment; 4.5.2 Number of Distinct Judgments; 4.6 Quality Control; 4.6.1 Normalization; 4.6.2 Unsupervised Filters; 4.6.3 Supervised Filters; 4.6.4 Aggregation Techniques; 4.6.5 Quality Control Using Multiple Passes; 4.7 Conclusion; 4.8 Acknowledgments; References; 5 How to Control and Utilize Crowd-Collected Speech; 5.1 Read Speech; 5.1.1 Collection Procedure; 5.1.2 Corpus Overview; 5.2 Multimodal Dialog Interactions; 5.2.1 System Design
5.2.2 Scenario Creation
Record Nr. UNINA-9910138855703321
Chichester, : Wiley, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Crowdsourcing for speech processing [[electronic resource] ] : applications to data collection, transcription and assessment / / editors, Maxine Eskénazi ... [et al.]
Crowdsourcing for speech processing [[electronic resource] ] : applications to data collection, transcription and assessment / / editors, Maxine Eskénazi ... [et al.]
Edizione [1st ed.]
Pubbl/distr/stampa Chichester, : Wiley, 2013
Descrizione fisica 1 online resource (358 p.)
Disciplina 006.4/54
Altri autori (Persone) EskenaziMaxine
Soggetto topico Speech processing systems - Research
Human computation
Data mining
ISBN 1-118-54124-3
1-118-54127-8
1-299-18893-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CROWDSOURCING FOR SPEECH PROCESSING; Contents; List of Contributors; Preface; 1 An Overview; 1.1 Origins of Crowdsourcing; 1.2 Operational Definition of Crowdsourcing; 1.3 Functional Definition of Crowdsourcing; 1.4 Some Issues; 1.5 Some Terminology; 1.6 Acknowledgments; References; 2 The Basics; 2.1 An Overview of the Literature on Crowdsourcing for Speech Processing; 2.1.1 Evolution of the Use of Crowdsourcing for Speech; 2.1.2 Geographic Locations of Crowdsourcing for Speech; 2.1.3 Specific Areas of Research; 2.2 Alternative Solutions; 2.3 Some Ready-Made Platforms for Crowdsourcing
2.4 Making Task Creation Easier2.5 Getting Down to Brass Tacks; 2.5.1 Hearing and Being Heard over the Web; 2.5.2 Prequalification; 2.5.3 Native Language of the Workers; 2.5.4 Payment; 2.5.5 Choice of Platform in the Literature; 2.5.6 The Complexity of the Task; 2.6 Quality Control; 2.6.1 Was That Worker a Bot?; 2.6.2 Quality Control in the Literature; 2.7 Judging the Quality of the Literature; 2.8 Some Quick Tips; 2.9 Acknowledgments; References; Further reading; 3 Collecting Speech from Crowds; 3.1 A Short History of Speech Collection; 3.1.1 Speech Corpora; 3.1.2 Spoken Language Systems
3.1.3 User-Configured Recording Environments3.2 Technology for Web-Based Audio Collection; 3.2.1 Silverlight; 3.2.2 Java; 3.2.3 Flash; 3.2.4 HTML and JavaScript; 3.3 Example: WAMI Recorder; 3.3.1 The JavaScript API; 3.3.2 Audio Formats; 3.4 Example: The WAMI Server; 3.4.1 PHP Script; 3.4.2 Google App Engine; 3.4.3 Server Configuration Details; 3.5 Example: Speech Collection on Amazon Mechanical Turk; 3.5.1 Server Setup; 3.5.2 Deploying to Amazon Mechanical Turk; 3.5.3 The Command-Line Interface; 3.6 Using the Platform Purely for Payment; 3.7 Advanced Methods of Crowdsourced Audio Collection
3.7.1 Collecting Dialog Interactions3.7.2 Human Computation; 3.8 Summary; 3.9 Acknowledgments; References; 4 Crowdsourcing for Speech Transcription; 4.1 Introduction; 4.1.1 Terminology; 4.2 Transcribing Speech; 4.2.1 The Need for Speech Transcription; 4.2.2 Quantifying Speech Transcription; 4.2.3 Brief History; 4.2.4 Is Crowdsourcing Well Suited to My Needs?; 4.3 Preparing the Data; 4.3.1 Preparing the Audio Clips; 4.3.2 Preprocessing the Data with a Speech Recognizer; 4.3.3 Creating a Gold-Standard Dataset; 4.4 Setting Up the Task; 4.4.1 Creating Your Task with the Platform Template Editor
4.4.2 Creating Your Task on Your Own Server4.4.3 Instruction Design; 4.4.4 Know the Workers; 4.4.5 Game Interface; 4.5 Submitting the Open Call; 4.5.1 Payment; 4.5.2 Number of Distinct Judgments; 4.6 Quality Control; 4.6.1 Normalization; 4.6.2 Unsupervised Filters; 4.6.3 Supervised Filters; 4.6.4 Aggregation Techniques; 4.6.5 Quality Control Using Multiple Passes; 4.7 Conclusion; 4.8 Acknowledgments; References; 5 How to Control and Utilize Crowd-Collected Speech; 5.1 Read Speech; 5.1.1 Collection Procedure; 5.1.2 Corpus Overview; 5.2 Multimodal Dialog Interactions; 5.2.1 System Design
5.2.2 Scenario Creation
Record Nr. UNINA-9910821369403321
Chichester, : Wiley, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui