Universitatea Politehnica din București împreună cu comitetul de organizare ”SpeD 2019” vă invită să participați la cea de-a 10-a Conferință Speech Technology and Human-Computer Dialogue.

Conferința va avea loc la Universitatea Politehnica din Timișoara, România, în perioada 12 – 14 octombrie 2019

”SpeD 2019” sărbătorește cea de-a zecea ediție prin extinderea subiectelor de interes din tehnologia limbii vorbite și a dialogului om-calculator către domeniimai extinse: procesarea multimodală a semnalelor, biosecuritatea, interacțiunea robot-om și sistemele încorporate.

Detalii suplimentare puteți afla:

Organizator: Laboratorul de Cercetare Speech and Dialogue (SpeeD) UPB

Web site: https://sped.pub.ro/

Email: office@speed.pub.ro

Program

• Paper submission (6 to 10 pages, IEEE format): June 17, 2019.
• Notification of acceptance and reviewers’ comments: September 9, 2019.
• Submission of final papers: September 23, 2019.
• Conference: October 10-12, 2019.

Tematici

• Speech Analysis, Representation and Models
• Spoken Language Recognition and Understanding
• Computational Resource Constrained Speech Recognition
• Text-to-Speech Synthesis
• Speech-to-Speech Translation
• Affective Speech Recognition, Interpretation and Synthesis
• Speaker Identification and Diarization
• Neural Networks and Deep Learning for Speech and Speaker Recognition
• Speech Enhancement
• Natural Language Processing
• Speech and Language Resources – Data Collection, Transcription and Annotation
• Spoken Dialogue Systems
• Speech Interface Design and Human Factors Engineering
• Human-Computer Interaction
• Speech Disorders and Voice Pathologies
• Educational / Healthcare Applications
• Assistive Technologies
• Forensic Speech Investigations and Security Systems
• Speaker Recognition in Biometric Systems and Security
• Biosecurity in Man-Machine Interfaces
• IoT Security
• Speech Emotion Recognition – Technologies and Applications
• Speech Interface Implementation for Embedded / Network-Based Applications
• Audio-Visual Speech Processing
• Multimodal Information Retrieval
• Multivariate Information Analysis
• Applications for Multimodal and Multimedia Processing
• Compressed Sensing (for Speech and/or Image Processing)
• Intelligent Robots and Human-Robot Interaction
• Cyber-physical Systems
• Machine Learning Applications for Embedded Systems
• Applications of Modeling, Simulation and Verification in Automotive