Search For:

Displaying 1-28 out of 28 total
More Personality in Personality Computing
Found in: IEEE Transactions on Affective Computing
By Alessandro Vinciarelli,Gelareh Mohammadi
Issue Date:July 2014
pp. 1-1
By explicitly describing what has been done in the past, surveys implicitly outline what can (and sometimes should) be done in the future. The insightful commentary by Wright contributes significantly to this latter aspect, especially when it comes to alig...
 
A Survey of Personality Computing
Found in: IEEE Transactions on Affective Computing
By Alessandro Vinciarelli,Gelareh Mohammadi
Issue Date:July 2014
pp. 1-1
Personality is a psychological construct aimed at explaining the wide variety of human behaviors in terms of a few, stable and measurable individual characteristics. In this respect, any technology involving understanding, prediction and synthesis of human...
 
Automatic Personality Perception: Prediction of Trait Attribution Based on Prosodic Features
Found in: IEEE Transactions on Affective Computing
By Gelareh Mohammadi,Alessandro Vinciarelli
Issue Date:July 2012
pp. 273-284
Whenever we listen to a voice for the first time, we attribute personality traits to the speaker. The process takes place in a few seconds and it is spontaneous and unaware. While the process is not necessarily accurate (attributed traits do not necessaril...
 
Bridging the Gap between Social Animal and Unsocial Machine: A Survey of Social Signal Processing
Found in: IEEE Transactions on Affective Computing
By Alessandro Vinciarelli,M. Pantic,D. Heylen,C. Pelachaud,I. Poggi,F. D'Errico,M. Schroeder
Issue Date:January 2012
pp. 69-87
Social Signal Processing is the research domain aimed at bridging the social intelligence gap between humans and machines. This paper is the first survey of the domain that jointly considers its three major aspects, namely, modeling, analysis, and synthesi...
 
Introduction to the Affect-Based Human Behavior Understanding Special Issue
Found in: IEEE Transactions on Affective Computing
By Albert A. Salah,Theo Gevers,Alessandro Vinciarelli
Issue Date:April 2011
pp. 64-65
No summary available.
 
Offline Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition Algorithms.
Found in: Pattern Recognition, International Conference on
By Francesco Camastra, Marco Spinetti, Alessandro Vinciarelli
Issue Date:August 2006
pp. 913-916
Cursive character recognition is a challenging task due to high variability and intrinsic ambiguity of cursive letters. This paper presents C-Cube (Cursive Character Challenge), a new public-domain cursive character database. CCube contains 57293 cursive c...
 
Sociometry Based Multiparty Audio Recordings Summarization
Found in: Pattern Recognition, International Conference on
By Alessandro Vinciarelli
Issue Date:August 2006
pp. 1154-1157
This paper shows how Social Network Analysis, the study of relational data in specific social environments, can be used to summarize multiparty radio news recordings. A social network is extracted from each recording and it is analyzed in order to detect t...
 
Sociometry based Multiparty Audio Recordings Segmentation
Found in: Multimedia and Expo, IEEE International Conference on
By Alessandro Vinciarelli
Issue Date:July 2006
pp. 1801-1804
This paper shows how Social Network Analysis, the sociological domain studying the interaction between people in specific social environments, can be used to assign roles to different speakers in multiparty recordings. The experiments presented in this wor...
 
Noisy Text Categorization
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Alessandro Vinciarelli
Issue Date:December 2005
pp. 1882-1895
This work presents categorization experiments performed over noisy texts. By noisy, we mean any text obtained through an extraction process (affected by errors) from media other than digital texts (e.g., transcriptions of speech recordings extracted with a...
 
Effect of Recognition Errors on Information Retrieval Performance
Found in: Frontiers in Handwriting Recognition, International Workshop on
By Alessandro Vinciarelli
Issue Date:October 2004
pp. 275-279
This work shows experiments on the retrieval of handwritten documents. The performance of the same state-of-the-art Information Retrieval system is compared when dealing with manual (no errors) and automatic (Word Error Rate around 50%) transcriptions of t...
 
Noisy Text Categorization
Found in: Pattern Recognition, International Conference on
By Alessandro Vinciarelli
Issue Date:August 2004
pp. 554-557
This work presents a system for the categorization of noisy texts. By noisy it is meant any text obtained through an extraction process (affected by errors) from media different than digital texts. We show that, even with an average Word Error Rate of arou...
 
Offline Recognition of Unconstrained Handwritten Texts Using HMMs and Statistical Language Models
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Alessandro Vinciarelli, Samy Bengio, Horst Bunke
Issue Date:June 2004
pp. 709-720
<p><b>Abstract</b>—This paper presents a system for the offline recognition of large vocabulary unconstrained handwritten texts. The only assumption made about the data is that it is written in English. This allows the application of Stat...
 
Writer Adaptation Techniques in Off-Line Cursive Word Recognition
Found in: Frontiers in Handwriting Recognition, International Workshop on
By Alessandro Vinciarelli, Samy Bengio
Issue Date:August 2002
pp. 287
<p>This work presents the application of HMM adaptation techniques to the problem of Off-Line Cursive Script Recognition. Instead of training a new model for each writer, one first creates a unique model with a mixed database and then adapts it for e...
 
Predicting Continuous Conflict Perceptionwith Bayesian Gaussian Processes
Found in: IEEE Transactions on Affective Computing
By Samuel Kim,Fabio Valente,Maurizio Filippone,Alessandro Vinciarelli
Issue Date:April 2014
pp. 1-1
Conflict is one of the most important phenomena of social life, but it is still largely neglected by the computing community. This work proposes an approach that detects common conversational social signals (loudness, overlapping speech, etc.) and predicts...
 
Unveiling the multimedia unconscious: implicit cognitive processes and multimedia content analysis
Found in: Proceedings of the 21st ACM international conference on Multimedia (MM '13)
By Alessandro Perina, Alessandro Vinciarelli, Cristina Segalin, Marco Cristani
Issue Date:October 2013
pp. 213-222
One of the main findings of cognitive sciences is that automatic processes of which we are unaware shape, to a significant extent, our perception of the environment. The phenomenon applies not only to the real world, but also to multimedia data we consume ...
     
Reading between the turns: Statistical modeling for identity recognition and verification in chats
Found in: 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
By Giorgio Roffo,Cristina Segalin,Alessandro Vinciarelli,Vittorio Murino,Marco Cristani
Issue Date:August 2013
pp. 99-104
Identity safekeeping has recently become an important problem for the social web: as a case study, we focus here on instant messaging platforms, proposing novel soft-biometric cues for user recognition and verification. Specifically, we design a set of fea...
   
Markov Model Document Retrieval
Found in: Document Analysis and Recognition, International Conference on
By Michael Perrone, Alessandro Vinciarelli
Issue Date:August 2003
pp. 1223
This paper presents a new probabilistic approach to document retrieval based on the assumption that a Markov process can explain the process by which humans rank the relevance of documents to queries. The model ranks documents for retrieval based on their ...
 
Combining Online and Offline Handwriting Recognition
Found in: Document Analysis and Recognition, International Conference on
By Alessandro Vinciarelli, Michael Perrone
Issue Date:August 2003
pp. 844
This work describes an online handwriting recognition system working in combination with an offline recognizer. The online input data is first transcribed by the online recognizer, then converted into an offline bitmap and recognized by the offline system....
 
Who is persuasive?: the role of perceived personality and communication modality in social multimedia
Found in: Proceedings of the 15th ACM on International conference on multimodal interaction (ICMI '13)
By Alessandro Vinciarelli, Kenji Sagae, Louis-Philippe Morency, Gelareh Mohammadi, Sunghyun Park
Issue Date:December 2013
pp. 19-26
Persuasive communication is part of everyone's daily life. With the emergence of social websites like YouTube, Facebook and Twitter, persuasive communication is now seen online on a daily basis. This paper explores the effect of multi-modality and perceive...
     
Joint ACM workshop on human gesture and behavior understanding: (J-HGBU'11)
Found in: Proceedings of the 19th ACM international conference on Multimedia (MM '11)
By Alberto Del Bimbo, Alessandro Vinciarelli, Alex Pentland, Maja Pantic, Mohamed Daoudi, Rita Cucchiara
Issue Date:November 2011
pp. 615-616
The ability to understand social signals of a person we are communicating with is the core of social intelligence. Social Intelligence is a facet of human intelligence that has been argued to be indispensable and perhaps the most important for success in l...
     
Improving speech processing trough social signals: automatic speaker segmentation of political debates using role based turn-taking patterns
Found in: Proceedings of the 2nd international workshop on Social signal processing (SSPW '10)
By Alessandro Vinciarelli, Fabio Valente
Issue Date:October 2010
pp. 29-34
Several recent works on social signals have addressed the problem of statistical modeling of social interaction in multi-party discussions showing that characteristics like turn-taking patterns can be modeled and predicted according to the role that each p...
     
The voice of personality: mapping nonverbal vocal behavior into trait attributions
Found in: Proceedings of the 2nd international workshop on Social signal processing (SSPW '10)
By Alessandro Vinciarelli, Gelareh Mohammadi, Marcello Mortillaro
Issue Date:October 2010
pp. 17-20
This paper reports preliminary experiments on automatic attribution of personality traits based on nonverbal vocal behavioral cues. In particular, the work shows how prosodic features can be used to predict, with an accuracy up to 75% depending on the trai...
     
MM'10 workshop summary for SSPW: ACM workshop on social signal processing 2010
Found in: Proceedings of the international conference on Multimedia (MM '10)
By Alessandro Vinciarelli, Alex Pentland, Maja Pantic
Issue Date:October 2010
pp. 1765-1766
The Workshop on Social Signal Processing (SSPW) is the yearly event of the Social Signal Processing Network (EU-FP7 SSPNet project). This year's workshop programme consists of 4 premium Key Note Talks by Jeff Cohn, Alex Pentland. Justine Cassell, and Toyoa...
     
Automatic role recognition based on conversational and prosodic behaviour
Found in: Proceedings of the international conference on Multimedia (MM '10)
By Alessandro Vinciarelli, Gelareh Mohammadi, Hugues Salamin, Khiet Truong
Issue Date:October 2010
pp. 847-850
This paper proposes an approach for the automatic recognition of roles in settings like news and talk-shows, where roles correspond to specific functions like Anchorman, Guest or Interview Participant. The approach is based on purely nonverbal vocal behavi...
     
Automatic role recognition in multiparty recordings using social networks and probabilistic sequential models
Found in: Proceedings of the seventeen ACM international conference on Multimedia (MM '09)
By Alessandro Vinciarelli, Alfred Dielmann, Sarah Favre
Issue Date:October 2009
pp. 585-588
The automatic analysis of social interactions is attracting significant interest in the multimedia community. This work addresses one of the most important aspects of the problem, namely the recognition of roles in social exchanges. The proposed approach i...
     
Social signal processing: state-of-the-art and future perspectives of an emerging domain
Found in: Proceeding of the 16th ACM international conference on Multimedia (MM '08)
By Alessandro Vinciarelli, Alex Pentland, Herve Bourlard, Maja Pantic
Issue Date:October 2008
pp. 40-42
The ability to understand and manage social signals of a person we are communicating with is the core of social intelligence. Social intelligence is a facet of human intelligence that has been argued to be indispensable and perhaps the most important for s...
     
Role recognition for meeting participants: an approach based on lexical information and social network analysis
Found in: Proceeding of the 16th ACM international conference on Multimedia (MM '08)
By Alessandro Vinciarelli, Dilek Hakkani Tur, Hugues Salamin, Neha P. Garg, Sarah Favre
Issue Date:October 2008
pp. 40-42
This paper presents experiments on the automatic recognition of roles in meetings. The proposed approach combines two sources of information: the lexical choices made by people playing different roles on one hand, and the Social Networks describing the int...
     
Role recognition in multiparty recordings using social affiliation networks and discrete distributions
Found in: Proceedings of the 10th international conference on Multimodal interfaces (IMCI '08)
By Alessandro Vinciarelli, Hugues Salamin, John Dines, Sarah Favre
Issue Date:October 2008
pp. 203-204
This paper presents an approach for the recognition of roles in multiparty recordings. The approach includes two major stages: extraction of Social Affiliation Networks (speaker diarization and representation of people in terms of their social interactions...
     
 1