Predicting Group Performance in Task-Based Interaction

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

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 ...

While domain adaptation has been used to improve the performance of object detectors when the training and test data follow different distributions, previous work has mostly focused on two-stage detectors. This is because their use of region proposals make ...

Speech is the most natural means of communication for humans. Therefore, since the beginning of computers it has been a goal to interact with machines via speech. While there have been gradual improvements in this field over the decades, and with recent dr ...

Nowadays mobile phones have become indispensable, as they have been endowed with many of the capabilities that a user was able to achieve previously with the help of PCs only. Among the functions that mobile phones perform we identify audio and video calls ...

The goal of this thesis is to improve current state-of-the-art techniques in speaker verification (SV), typically based on â identity-vectorsâ (i-vectors) and deep neural network (DNN), by exploiting diverse (phonetic) information extracted using variou ...

In this article, we describe the general features of red blood cell membranes and their effect on blood flow and blood rheology. We first present a basic description of membranes and move forward to red blood cell membranes' characteristics and modeling. W ...

The respiratory system is an integral part of human speech production. As a consequence, there is a close relation between respiration and speech signal, and the produced speech signal carries breathing pattern related information. Speech can also be gener ...

A new software for modeling pathological speech signals is presented in this paper. The software is called NeuroSpeech. This software enables the analysis of pathological speech signals considering different speech dimensions: phonation, articulation, pros ...

Beamforming is commonly used in devices such as in hearing instruments (HI) with a view to reducing noise. It consists in focusing on audio signals arising from a prescribed steering direction while suppressing those coming from other directions. The effic ...

Fault diagnosis plays an essential role in reducing the maintenance costs of rotating machinery manufacturing systems. In many real applications of fault detection and diagnosis, data tend to be imbalanced, meaning that the number of samples for some fault ...

This paper addresses the problem of detecting speech utterances from a large audio archive using a simple spoken query, hence referring to this problem as "Query by Example Spoken Term Detection" (QbE-STD). This still open pattern matching problem has been ...

Collective Remote Attestation (CRA) is a well-established approach where a single Verifier attests the integrity of multiple devices in a single execution of the challenge-response protocol. Current CRA solutions are well-suited for Internet of Things (IoT ...

Many pathologies cause impairments in the speech production mechanism resulting in reduced speech intelligibility and communicative ability. To assist the clinical diagnosis, treatment and management of speech disorders, automatic pathological speech asses ...

In a recent work, we have shown that speaker verification systems can be built where both features and classifiers are directly learned from the raw speech signal with convolutional neural networks (CNNs). In this framework, the training phase also decides ...

Speech-to-speech translation is a framework which recognises speech in an input language, translates it to a target language and synthesises speech in this target language. In such a system, variations in the speech signal which are inherent to natural hum ...

Certain brain disorders, resulting from brainstem infarcts, traumatic brain injury, stroke and amyotrophic lateral sclerosis, limit verbal communication despite the patient being fully aware. People that cannot communicate due to neurological disorders wou ...

In this paper, we illustrate the use of RF-sputtered p-NiO to fabricate Junction Termination Extensions (JTEs) for high-performance vertical GaN-on-Si Schottky Barrier Diodes (SBDs). The GaN epitaxial structures were grown on 6-inch Si wafers by MOCVD. The ...

This paper presents a unifying framework for the form-finding and topology-finding of tensegrity structures. The novel computational framework is based on rank-constrained linear matrix inequalities. For form-finding, given the topology (i.e., member conne ...

This paper presents a methodology to analyze linguistic changes in a given textual corpus allowing to overcome two common problems related to corpus linguistics studies. One of these issues is the monotonic increase of the corpus size with time, and the ot ...

As the labeling cost for different modules in task-oriented dialog (ToD) systems is expensive, a major challenge is to train different modules with the least amount of labeled data. Recently, large-scale pre-trained language models, have shown promising re ...

Predicting Group Performance in Task-Based Interaction

Chat with Graph Search

Sparse and Low-rank Modeling for Automatic Speech Recognition

Attention-based domain adaptation for single-stage detectors

Visual speech recognition : from traditional to deep learning frameworks

Simulation Of New Methods Using Applications Which Exflitrate Data From Android Phones

Phonetic aware techniques for Speaker Verification

Microfluidics Approach to the Mechanical Properties of Red Blood Cell Membrane and Their Effect on Blood Rheology

On Breathing Pattern Information in Synthetic Speech

NeuroSpeech: An open-source software for Parkinson's speech analysis

Objective evaluation of static beamforming on the quality of speech in noise

Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery

Phonetic Subspace Features for Improved Query by Example Spoken Term Detection

HolA: Holistic and Autonomous Attestation for IoT Networks

Automatic pathological speech assessment

On Learning Vocal Tract System Related Speaker Discriminative Information from Raw Signal Using CNNs

Intonation Modelling for Speech Synthesis and Emphasis Preservation

Understanding and Decoding Imagined Speech using Electrocorticographic Recordings in Humans

p-NiO Junction Termination Extensions for High Voltage Vertical GaN Devices

A unifying framework for form-finding and topology-finding of tensegrity structures

Studying Linguistic Changes over 200 Years of Newspapers through Resilient Words Analysis

Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems