Zobrazeno 1 - 10 of 257 pro vyhledávání: '"Processament de la parla"'
1
Augment de dades de veu per a sistemes de processament de la parla
Autor: Falceto Piñol, Anna
We live in an era where intelligent systems are becoming more and more part of our lives. These systems require a large amount of data to learn different tasks and, in many cases, not enough content is available to train them. Data augmentation stems
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3484::b2920525b6e0fc9e9011029c8a8b70de
https://hdl.handle.net/2117/386664
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2
Joint learning of depression and anxiety severity directly from speech signals
Autor: Quintana Aguasca, Eric
Advances in digital health and phenotyping technologies are crucial to ensureincreased access to high-quality mental health support services and treatment. Speech is uniquely placed in this regard, as no other mobile health signal contains its singul
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3484::9be7c094ad296b19f58602712a413847
https://hdl.handle.net/2117/387225
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3
Analysis of social trends based on artificial intelligence techniques
Autor: Pérez Lozano, Albert
In order to analyze and extract information about social trends in the Spanish and Portuguese environment from an objective point of view, the implementation of this project was requested. This consists of extracting information from different and va
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3484::a30b19f75baad004d8abb0bc2e541f07
https://hdl.handle.net/2117/386545
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4
Validació i classificació d'àudio del projecte 'Common Voice'
Autor: Ramírez Martí, Carla
Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Common Voice és un projecte que convida a la gent a donar la seva veu en la seva llengua materna amb el propòsit de reunir corpus de veus. Aquests corpus, disponibles en més de noranta idiomes, estan formats per una gran quantitat d’àudios curt
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::01ce6d249f1058a7a160a982102fa2cd
https://hdl.handle.net/2117/373029
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6
Deep learning for speaker characterization
Autor: Garriga Artieda, Daniel
La caracterización de un locutor es una de las tareas más relevantes en muchas aplicaciones de inteligencia artificial. Del mismo modo que estas tecnologías mejoran y se aumenta la cantidad de datos disponibles, es también importante adaptarlas a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3484::36b9e1fba696c6590291919b4ad24744
https://hdl.handle.net/2117/374687
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7
Hippocampal and auditory contributions to speech segmentation
Autor: Neus Ramos-Escobar, Manuel Mercier, Agnès Trébuchon-Fonséca, Antoni Rodriguez-Fornells, Clément François, Daniele Schön
Publikováno v: Cortex
Cortex, 2022, ⟨10.1016/j.cortex.2022.01.017⟩
Dipòsit Digital de la UB
Universidad de Barcelona
Statistical learning has been proposed as a mechanism to structure and segment the continuous flow of information in several sensory modalities. Previous studies proposed that the medial temporal lobe, and in particular the hippocampus, may be crucia
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b95eccacf7dbec3414e0878cb77d0fb
https://hal.science/hal-03604957/document
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8
Language modelling for speaker diarization in telephonic interviews
Autor: Miquel India, Javier Hernando, José A.R. Fonollosa
Publikováno v: Computer Speech & Language. 78:101441
The aim of this paper is to investigate the benefit of combining both language and acoustic modelling for speaker diarization. Although conventional systems only use acoustic features, in some scenarios linguistic data contain high discriminative spe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ba8b47f9fc9f61c4919b3e6fd552a35
https://doi.org/10.1016/j.csl.2022.101441
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9
Influence of TTS systems performance on reaction times in people with aphasia
Autor: Ineke van der Meulen, Giorgia Cistola, Mireia Farrús, Alex Peiró-Lilja, Guillermo Cámbara
Publikováno v: Applied Sciences, Vol 11, Iss 11320, p 11320 (2021)
Dipòsit Digital de la UB
Universidad de Barcelona
Applied Sciences (Switzerland), 11(23):11320. Multidisciplinary Digital Publishing Institute (MDPI)
Applied Sciences; Volume 11; Issue 23; Pages: 11320
Text-to-speech (TTS) systems provide fundamental reading support for people with aphasia and reading difficulties. However, artificial voices are more difficult to process than natural voices. The current study is an extended analysis of the results
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::714d05d8194c71a7ac4a16e66a3194f8
https://pure.eur.nl/en/publications/fed8db1a-8fed-4d8c-9331-36713b1f3f0b
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10
Desenvolupament d'eines de veu en català pel projecte 'Common Voice'
Autor: Arbiol Pla, Anna
Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Un projecte de tecnologia de la parla en català el qual fa servir la base de dades del Common Voice, de Mozilla, en català a partir d’automatitzar cerques d’interès respecte tota la informació que emmagatzema i crear una segmentació fonètic
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bcb1c1fdc6e2f858e86fb4b08f0fd2b0
https://hdl.handle.net/2117/366253
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