Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Alfons Juan"'
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 12 (2024)
Externí odkaz:
https://doaj.org/article/593c226f5a7e4cda8cf03ec2bd2a8395
Autor:
Pau Baquero-Arnal, Javier Jorge, Adrià Giménez, Javier Iranzo-Sánchez, Alejandro Pérez, Gonçal Vicent Garcés Díaz-Munío, Joan Albert Silvestre-Cerdà, Jorge Civera, Albert Sanchis, Alfons Juan
Publikováno v:
Applied Sciences, Vol 12, Iss 2, p 804 (2022)
This paper describes the automatic speech recognition (ASR) systems built by the MLLP-VRAIN research group of Universitat Politècnica de València for the Albayzín-RTVE 2020 Speech-to-Text Challenge, and includes an extension of the work consisting
Externí odkaz:
https://doaj.org/article/4a533c8e1b0b46699a9548255edc3b33
Autor:
Albert Sanchis, Joan Albert Silvestre-Cerdà, Adrià Giménez, Jorge Civera, Javier Iranzo-Sánchez, Alfons Juan, Javier Jorge, Pau Baquero-Arnal
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] The cascade approach to Speech Translation (ST) is based on a pipeline that concatenates an Automatic Speech Recognition (ASR) system followed by a Machine Translation (MT) system. Nowadays, state-of-the-art ST systems are populated with deep ne
Autor:
Javier Jorge, Adria Gimenez, Joan Albert Silvestre-Cerda, Jorge Civera, Albert Sanchis, Alfons Juan
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING
instname
IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING
[EN] Although Long-Short Term Memory (LSTM) networks and deep Transformers are now extensively used in offline ASR, it is unclear how best offline systems can be adapted to work with them under the streaming setup. After gaining considerable experien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b1b7d24f8b77adceaaf8d14ca1ba111
Autor:
Javier Iranzo-Sánchez, Javier Jorge Cano, Alejandro Pérez-González-de-Martos, Adrián Giménez Pastor, Gonçal Garcés Díaz-Munío, Pau Baquero-Arnal, Joan Albert Silvestre-Cerdà, Jorge Civera Saiz, Albert Sanchis, Alfons Juan
Publikováno v:
Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022).
Autor:
Manuel Jimenez, Joan Albert Silvestre-Cerdà, Alfons Juan, Gonçal V. Garcés Díaz-Munío, Alejandro Pérez, Carlos Turro, Jorge Civera, Alberto Sanchis, Adrià Giménez
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] The rapid progress of modern AI tools for automatic speech recognition and machine translation is leading to a progressive cost reduction to produce publishable subtitles for educational videos in multiple languages. Similarly, text-to-speech te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48b96e00877a154dd7580c0f745470ad
https://doi.org/10.1016/j.engappai.2021.104413
https://doi.org/10.1016/j.engappai.2021.104413
Autor:
Alejandro Pérez-González-de-Martos, Jorge Civera, Adrià Giménez Pastor, Alfons Juan, Albert Sanchis, Javier Iranzo-Sánchez, Gonçal V. Garcés Díaz-Munío, Pau Baquero-Arnal, Nahuel Roselló, Joan Albert Silvestre-Cerdà, Javier Jorge
Publikováno v:
Interspeech 2021
[EN] We introduce Europarl-ASR, a large speech and text corpus of parliamentary debates including 1300 hours of transcribed speeches and 70 million tokens of text in English extracted from European Parliament sessions. The training set is labelled wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9660f5eb72be5607b2480d6615f8cf6a
https://doi.org/10.21437/interspeech.2021-1905
https://doi.org/10.21437/interspeech.2021-1905
Autor:
Adrià Giménez Pastor, Alejandro Pérez-González-de-Martos, Jorge Civera, Javier Iranzo-Sánchez, Javier Jorge, Alfons Juan, Albert Sanchis, Joan Albert Silvestre-Cerdà
Publikováno v:
Interspeech 2021.
Autor:
Jorge Civera, Javier Jorge, Alejandro Pérez, Pau Baquero-Arnal, Albert Sanchis, Adrià Giménez, Alfons Juan, Joan Albert Silvestre-Cerdà, Gonçal V. Garcés Díaz-Munío, Javier Iranzo-Sánchez
Publikováno v:
IberSPEECH
[EN] This paper describes the automatic speech recognition (ASR) systems built by the MLLP-VRAIN research group of Universitat Politecnica de València for the Albayzin-RTVE 2020 Speech-to-Text Challenge. The primary system (p-streaming_1500ms_nlt) w
Publikováno v:
Statistics and Computing
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
[EN] In this work, we propose a new Bayesian model for unsupervised image segmentation based on a combination of the spatially varying finite mixture models (SVFMMs) and the non-local means (NLM) framework. The probabilistic NLM weighting function is