Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Roberto Barra"'
Autor:
Juan Manuel Montero, Fernando Fernández-Martínez, Roberto Barra-Chicote, Jaime Lorenzo-Trueba, Syaheerah Lebai Lutfi
Publikováno v:
Sensors, Vol 13, Iss 8, Pp 10519-10538 (2013)
We describe the work on infusion of emotion into a limited-task autonomous spoken conversational agent situated in the domestic environment, using a need-inspired task-independent emotion model (NEMO). In order to demonstrate the generation of affect
Externí odkaz:
https://doaj.org/article/4825c0b2ed424244ba81ffc68495f516
Autor:
Piotr Bilinski, Thomas Merritt, Abdelhamid Ezzerg, Kamil Pokora, Sebastian Cygert, Kayoko Yanagisawa, Roberto Barra-Chicote, Daniel Korzekwa
Publikováno v:
Interspeech 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::650be67363a4639a60de2600a6f28cb1
https://doi.org/10.21437/interspeech.2022-10195
https://doi.org/10.21437/interspeech.2022-10195
Autor:
Frank Antonio Ayala-Velásquez, Betty Beatriz González-Osorio, Luis Fernando Simba-Ochoa, Marjorie Amada Tovar-Olivo, Roberto Barragán-Monroy, Erika Zamora-Cevallos
Publikováno v:
Revista Metropolitana de Ciencias Aplicadas, Vol 7, Iss 3, Pp 227-239 (2024)
El estudio se realizó en el cantón Quevedo provincia de Los Ríos, Ecuador, el objetivo fue analizar el comercio justo, eje central del desarrollo en productores locales y exportadores de cacao Theobroma cacao L. Se aplicó una investigación descr
Externí odkaz:
https://doaj.org/article/4375bad939c5432ab191da13f7d10fe0
Autor:
Magdalena Proszewska, Grzegorz Beringer, Daniel Sáez-Trigueros, Thomas Merritt, Abdelhamid Ezzerg, Roberto Barra-Chicote
In this paper, we propose GlowVC: a multilingual multi-speaker flow-based model for language-independent text-free voice conversion. We build on Glow-TTS, which provides an architecture that enables use of linguistic features during training without
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75de51f0fc0118eade3ba985f57e6130
http://arxiv.org/abs/2207.01454
http://arxiv.org/abs/2207.01454
Autor:
Thomas Merritt, Abdelhamid Ezzerg, Piotr Bilinski, Magdalena Proszewska, Kamil Pokora, Roberto Barra-Chicote, Daniel Korzekwa
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa47967ea1e2ff95f4d637c084eec9ee
https://doi.org/10.1109/icassp43922.2022.9746368
https://doi.org/10.1109/icassp43922.2022.9746368
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fe33d16b034f653c3cafdf9bf442dc9
https://doi.org/10.1109/icassp43922.2022.9747158
https://doi.org/10.1109/icassp43922.2022.9747158
Publikováno v:
Interspeech 2021.
Text-to-speech systems recently achieved almost indistinguishable quality from human speech. However, the prosody of those systems is generally flatter than natural speech, producing samples with low expressiveness. Disentanglement of speaker id and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1d19fd06dcf5573b5303fcf03cfca9e
https://doi.org/10.21437/interspeech.2021-562
https://doi.org/10.21437/interspeech.2021-562
This paper proposes a general enhancement to the Normalizing Flows (NF) used in neural vocoding. As a case study, we improve expressive speech vocoding with a revamped Parallel Wavenet (PW). Specifically, we propose to extend the affine transformatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e52d27c4aad7e6a1b774be4c49d908a
http://arxiv.org/abs/2106.08649
http://arxiv.org/abs/2106.08649
Autor:
Roland Maas, Jasha Droppo, Roberto Barra-Chicote, Yixiong Meng, Amin Fazel, Wei Yang, Yulan Liu
End-to-end (E2E) automatic speech recognition (ASR) models have recently demonstrated superior performance over the traditional hybrid ASR models. Training an E2E ASR model requires a large amount of data which is not only expensive but may also rais
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c7ab09241c6ea402622a7b43a7286d8
http://arxiv.org/abs/2106.07803
http://arxiv.org/abs/2106.07803
Autor:
Jasha Droppo, Peng Liu, Yuriy Mishchenko, Anish Shah, Roberto Barra Chicote, Jeff Condal, Andrew Werchniak
Publikováno v:
ICASSP
The study of keyword spotting, a subfield within the broader field of speech recognition that centers around identifying individual keywords in speech audio, has gained particular importance in recent years with the rise of personal voice assistants
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::974c9d4c23fd6740fdba3e4dc0529591
https://doi.org/10.1109/icassp39728.2021.9413448
https://doi.org/10.1109/icassp39728.2021.9413448