The recently proposed x-vector based anonymization scheme converts any input voice into that of a random pseudo-speaker. In this paper, we present a flexible pseudo-speaker selection technique as a baseline for the first VoicePrivacy Challenge. We explore several design choices for the distance metric between speakers, the region of x-vector space ...
Translating biomedical ontologies is an important challenge, but doing it manually requires much time and money. We study the possibility to use open-source knowledge bases to translate biomedical ontologies. We focus on two aspects: coverage and quality. We look at the coverage of two biomedical ontologies focusing on diseases with respect to Wiki...
In this paper, we propose an approach relying on multiclass N-pair loss based deep metric learning in recurrent conditional variational autoencoder (RCVAE). We used RCVAE for implementation of multispeaker expressive text-to-speech (TTS) system. The proposed approach condition text-to-speech system on speaker embeddings, and leads to clustering the...
Plusieurs travaux abordent l’analyse de corpus dramatiques larges appuyée sur des méthodes quantitatives, suivant des approches assimilables à la « macroanalyse » de Jockers (2013). La Revue d’Historiographie du Théâtre (2017) offre une synthèse de ces recherches en France. Les travaux de Schöch (2017) sur le théâtre classique français ou de Fische...
With the spread of online social networks, it is more and more difficult to monitor all the user-generated content. Automating the moderation process of the inappropriate exchange content on Internet has thus become a priority task. Methods have been proposed for this purpose, but it can be challenging to find a suitable dataset to train and develo...
Plusieurs initiatives internationales témoignent de l'intérêt actuel pour les analyses littéraires assistées par des moyens computationnels, comme le groupement Digital Literary Stylistics (SIG-DLS) de l'Alliance for Digital Humanities Organizations. Le colloque Plotting Poetry montre la variété de phénomènes poétiques abordés à l'aide d'outils inf...
With the spread of online social networks, it is more and more difficult to monitor all the user-generated content. Automating the moderation process of the inappropriate exchange content on Internet has thus become a priority task. Methods have been proposed for this purpose, but it can be challenging to find a suitable dataset to train and develo...
Cognate prediction and proto-form reconstruction are key tasks in computational historical linguistics that rely on the study of sound change regularity. Solving these tasks appears to be very similar to machine translation, though methods from that field have barely been applied to historical linguistics. Therefore, in this paper, we investigate t...
Applications in Music Information Retrieval and Computational Musicology have traditionally relied on features extracted from the music content in the form of audio, but mostly ignored the song lyrics. More recently, improvements in fields such as music recommendation have been made by taking into account external metadata related to the song. In t...
Published in Open Source Systems
In this paper, we overview our experiences of developing large set of open source tools in ECSEL JU European project called [email protected] whose main objective is to propose a scalable model-based framework incorporating methods and tools for the continuous development and runtime support of complex software-intensive Cyber-Physical Systems (CPSs). We b...
