Concept
Hate speech
Related publications (19)
Novel Methods For Detection And Analysis Of Atypical Aspects In Speech
Atypical aspects in speech concern speech that deviates from what is commonly considered normal or healthy. In this thesis, we propose novel methods for detection and analysis of these aspects, e.g. to monitor the temporary state of a speaker, diseases tha ...
EPFL2023Can Self-Supervised Neural Networks Pre-Trained on Human Speech distinguish Animal Callers?
Mathew Magimai Doss, Eklavya Sarkar
Self-supervised learning (SSL) models use only the intrinsic structure of a given signal, independent of its acoustic domain, to extract essential information from the input to an embedding space. This implies that the utility of such representations is no ...
ISCA2023On Breathing Pattern Information in Synthetic Speech
Mathew Magimai Doss, Zohreh Mostaani
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 ...
ISCA-INT SPEECH COMMUNICATION ASSOC2022Novel Methods for Incorporating Prior Knowledge for Automatic Speech Assessment
Subrahmanya Pavankumar Dubagunta
Speech signal conveys several kinds of information such as a message, speaker identity, emotional state of the speaker and social state of the speaker. Automatic speech assessment is a broad area that refers to using automatic methods to predict human judg ...
EPFL2021Estimating The Degree of Sleepiness by Integrating Articulatory Feature Knowledge In Raw Waveform Based CNNs
Julian David Fritsch, Subrahmanya Pavankumar Dubagunta
Speech-based degree of sleepiness estimation is an emerging research problem. This paper investigates an end-to-end approach, where given raw waveform as input, a convolutional neural network (CNN) estimates at its output the degree of sleepiness. Within t ...
2020Intonation Modelling for Speech Synthesis and Emphasis Preservation
Pierre-Edouard Jean Charles Honnet
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 ...
EPFL2017"Can you hear me now?"
This thesis deals with signal-based methods that predict how listeners perceive speech quality in telecommunications. Such tools, called objective quality measures, are of great interest in the telecommunications industry to evaluate how new or deployed sy ...
EPFL2016Incremental Syllable-Context Phonetic Vocoding
Petr Motlicek, Philip Neil Garner, Milos Cernak
Current very low bit rate speech coders are, due to complexity limitations, designed to work off-line. This paper investigates incremental speech coding that operates real-time and incrementally (i.e., encoded speech depends only on already-uttered speech ...
Idiap2015Incremental Syllable-Context Phonetic Vocoding
Petr Motlicek, Philip Neil Garner, Milos Cernak
Current very low bit rate speech coders are, due to complexity limitations, designed to work off-line. This paper investigates incremental speech coding that operates real-time and incrementally (i.e., encoded speech depends only on already-uttered speech ...
2015Who Wants To Be A Millionaire? (II)
Hervé Bourlard, Petr Motlicek, Huseyn Gasimov
The developed and implemented game exploiting state-of-the-art speech processing technologies is called “Who wants to be a millionaire?”. This game simulates well-known TV-based quiz game spread in many countries. This optional project, partially made at E ...
Idiap2013