Publications related to GMM-based Handwriting Style Identification System for Historical Documents

Related publications (24)

Explanation of Face Recognition via Saliency Maps

Despite the significant progress in recent years, deep face recognition is often treated as a "black box" and has been criticized for lacking explainability. It becomes increasingly important to understand the characteristics and decisions of deep face rec ...

2023

A Two-Step Approach To Leverage Contextual Data: Speech Recognition In Air-Traffic Communications

Petr Motlicek, Juan Pablo Zuluaga Gomez

Automatic Speech Recognition (ASR), as the assistance of speech communication between pilots and air-traffic controllers, can significantly reduce the complexity of the task and increase the reliability of transmitted information. ASR application can lead ...

IEEE2022

A game-based approach for evaluating and customizing handwriting training using an autonomous social robot

Pierre Dillenbourg, Barbara Bruno, Chenyang Wang, Daniel Carnieto Tozadore

Handwriting learning is a long and complex process that takes about ten years to be fully mastered. Nearly one-third of all children aged 4-12 experiences handwriting difficulties and, sadly, most of them are left to fight them on their own, due to the sca ...

IEEE2022

Exploring Heterogeneous Feature Representation for Document Layout Understanding

Guosheng Feng

There are increasing interests in document layout representation learning and understanding. Transformer, with its great power, has become the mainstream model architecture and achieved promising results in this area. As elements in a document layout consi ...

IEEE COMPUTER SOC2022

Personalized Productive Engagement Recognition in Robot-Mediated Collaborative Learning

Barbara Bruno, Jauwairia Nasir

In this paper, we propose and compare personalized models for Productive Engagement (PE) recognition. PE is defined as the level of engagement that maximizes learning. Previously, in the context of robot-mediated collaborative learning, a framework of prod ...

2022

The transferability of handwriting skills: from the Cyrillic to the Latin alphabet

Pierre Dillenbourg, Wafa Monia Benkaouar Johal, Thibault Lucien Christian Asselborn

Do handwriting skills transfer when a child writes in two different scripts, such as the Latin and Cyrillic alphabets? Are our measures of handwriting skills intrinsically bound to one alphabet or will a child who faces handwriting difficulties in one scri ...

2021

Analysis and Remediation of Handwriting difficulties

Thibault Lucien Christian Asselborn

Even with correct training, up to 25% of children never master handwriting like their peers. While research shows a correlation between handwriting difficulties and school failure, these difficulties can also impact children in their self esteem and behavi ...

EPFL2020

Extending the Spectrum of Dysgraphia: A Data Driven Strategy to Estimate Handwriting Quality

Pierre Dillenbourg, Thibault Lucien Christian Asselborn

This paper proposes new ways to assess handwriting, a critical skill in any child’s school journey. Traditionally, a pen and paper test called the BHK test (Concise Evaluation Scale for Children’s Handwriting) is used to assess children’s handwriting in Fr ...

Nature Research2020

Can Tangible Robots Support Children in Learning Handwriting?

Pierre Dillenbourg, Barbara Bruno, Ayberk Özgür, Thibault Lucien Christian Asselborn, Arzu Güneysu Özgür

A large body of research suggests that robots could indeed be useful for supporting children in learning handwriting. However, few studies have investigated the role and use of tangible robots in teaching handwriting to children with attention and/or visuo ...

2020

Sparse and Low-rank Modeling for Automatic Speech Recognition

Pranay Dighe

This thesis deals with exploiting the low-dimensional multi-subspace structure of speech towards the goal of improving acoustic modeling for automatic speech recognition (ASR). Leveraging the parsimonious hierarchical nature of speech, we hypothesize that ...

EPFL2019

Learning How to Write with a Social Robot

Shruti Chandra

Learning handwriting is one of the main occupations for children in primary education. It is a complex skill that has been associated with children’s learning and development. Poor handwriting skills affect children negatively concerning their academic per ...

EPFL2019

Robust and Discriminative Speaker Embedding via Intra-Class Distance Variance Regularization

Jean-Marc Odobez

Learning a good speaker embedding is critical for many speech processing tasks, including recognition, verification, and diarization. To this end, we propose a complementary optimizing goal called intra-class loss to improve deep speaker embed dings learne ...

ISCA-INT SPEECH COMMUNICATION ASSOC2018

Mixed-precision architecture based on computational memory for training deep neural networks

Irem Boybat Kara, Abu Sebastian

Deep neural networks (DNN) have revolutionized the field of machine learning by providing unprecedented human-like performance in solving many real-world problems such as image or speech recognition. Training of large DNNs, however, is a computationally in ...

IEEE2018

Bringing letters to life: handwriting with haptic-enabled tangible robots

Pierre Dillenbourg, Wafa Monia Benkaouar Johal, Thibault Lucien Christian Asselborn, Arzu Güneysu Özgür, Ayberk Özgür, Khalil Mrini, Elmira Yadollahi

In this paper, we present a robotic approach to improve the teaching of handwriting using the tangible, haptic-enabled and classroom-friendly Cellulo robots. Our efforts presented here are in line with the philosophy of the Cellulo platform: we aim to crea ...

ACM2018

Joint Speaker Verification and Anti-Spoofing in the i-Vector Space

Sébastien Marcel

Any biometric recognizer is vulnerable to spoofing attacks and hence voice biometric, also called automatic speaker verification (ASV), is no exception; replay, synthesis, and conversion attacks all provoke false acceptances unless countermeasures are used ...

2015

Automatic social role recognition and its application in structuring multiparty interactions

Ashtosh Sapru

Automatic processing of multiparty interactions is a research domain with important applications in content browsing, summarization and information retrieval. In recent years, several works have been devoted to find regular patterns which speakers exhibit ...

EPFL2015

Text Recognition in Natural Images Using Multiclass Hough Forests

Sabine Süsstrunk, Radhakrishna Achanta, Gökhan Yildirim

Text detection and recognition in natural images are popular yet unsolved problems in computer vision. In this paper, we propose a technique that attempts to detect and recognize text in a unified manner by searching for words directly without reducing the ...

2013

Dynamic Classifier Fusion for Multi-sensory Activity Recognition

Hesam Sagha

Nowadays, many systems rely on fusing different sources of information to recognize human activities and gestures, speech, or brain activities for applications in areas such as clinical practice, and health care and Human Computer Interaction (HCI). Typica ...

EPFL2013

Wordless Sounds: Robust Speaker Diarization using Privacy-Preserving Audio Representations

Hervé Bourlard, Daniel Gatica-Perez, Sree Hari Krishnan Parthasarathi

This paper investigates robust privacy-sensitive audio features for speaker diarization in multiparty conversations: ie., a set of audio features having low linguistic information for speaker diarization in a single and multiple distant microphone scenario ...

2013

Lower and upper bounds for approximation of the Kullback-Leibler divergence between Gaussian Mixture Models

Finnian Paul Kelly, Jean-Philippe Thiran

Many speech technology systems rely on Gaussian Mixture Models (GMMs). The need for a comparison between two GMMs arises in applications such as speaker verification, model selection or parameter estimation. For this purpose, the Kullback-Leibler (KL) dive ...

Ieee2012