Zobrazeno 1 - 10
of 85
pro vyhledávání: '"A. Cambara"'
Autor:
Łajszczak, Mateusz, Cámbara, Guillermo, Li, Yang, Beyhan, Fatih, van Korlaar, Arent, Yang, Fan, Joly, Arnaud, Martín-Cortinas, Álvaro, Abbas, Ammar, Michalski, Adam, Moinet, Alexis, Karlapati, Sri, Muszyńska, Ewa, Guo, Haohan, Putrycz, Bartosz, Gambino, Soledad López, Yoo, Kayeon, Sokolova, Elena, Drugman, Thomas
We introduce a text-to-speech (TTS) model called BASE TTS, which stands for $\textbf{B}$ig $\textbf{A}$daptive $\textbf{S}$treamable TTS with $\textbf{E}$mergent abilities. BASE TTS is the largest TTS model to-date, trained on 100K hours of public do
Externí odkaz:
http://arxiv.org/abs/2402.08093
Automatic Speech Recognition (ASR) is a key element in new services that helps users to interact with an automated system. Deep learning methods have made it possible to deploy systems with word error rates below 5% for ASR of English. However, the u
Externí odkaz:
http://arxiv.org/abs/2207.06872
Jitter and shimmer measurements have shown to be carriers of voice quality and prosodic information which enhance the performance of tasks like speaker recognition, diarization or automatic speech recognition (ASR). However, such features have been s
Externí odkaz:
http://arxiv.org/abs/2112.11391
Autor:
Julio Cesar Ortega Cambara, Vivian León Fernández, Duniesky Martínez García, Alina Sobrino Legón, Daisy Dopico Ramírez, Enrique Rosendo Pérez Cruz
Publikováno v:
Revista Centro Azúcar, Vol 51, Iss 2, Pp e1065(02/05/2024)-e1065(02/05/2024) (2024)
Introduction: Molasses is an agro-industrial by-product that could be used as inexpensive carbon source to reduce the culture media cost for enzyme-producing microorganisms. Objective: To evaluate four combinations of carbon and nitrogen sources for
Externí odkaz:
https://doaj.org/article/eca61346048b4023a4ca677881448ee6
Alzheimer's Disease is the most common form of dementia. Automatic detection from speech could help to identify symptoms at early stages, so that preventive actions can be carried out. This research is a contribution to the ADReSSo Challenge, we anal
Externí odkaz:
http://arxiv.org/abs/2110.15704
Nowadays, research in speech technologies has gotten a lot out thanks to recently created public domain corpora that contain thousands of recording hours. These large amounts of data are very helpful for training the new complex models based on deep
Externí odkaz:
http://arxiv.org/abs/2105.05041
Autor:
Bonet, David, Cámbara, Guillermo, López, Fernando, Gómez, Pablo, Segura, Carlos, Luque, Jordi
Keyword spotting and in particular Wake-Up-Word (WUW) detection is a very important task for voice assistants. A very common issue of voice assistants is that they get easily activated by background noise like music, TV or background speech that acci
Externí odkaz:
http://arxiv.org/abs/2101.12732
Autor:
Kocour, Martin, Cámbara, Guillermo, Luque, Jordi, Bonet, David, Farrús, Mireia, Karafiát, Martin, Veselý, Karel, Ĉernocký, Jan ''Honza''
This paper describes joint effort of BUT and Telef\'onica Research on development of Automatic Speech Recognition systems for Albayzin 2020 Challenge. We compare approaches based on either hybrid or end-to-end models. In hybrid modelling, we explore
Externí odkaz:
http://arxiv.org/abs/2101.12729
The effects of adding pitch and voice quality features such as jitter and shimmer to a state-of-the-art CNN model for Automatic Speech Recognition are studied in this work. Pitch features have been previously used for improving classical HMM and DNN
Externí odkaz:
http://arxiv.org/abs/2009.01309
The use of photoplethysmogram signal (PPG) for heart and sleep monitoring is commonly found nowadays in smartphones and wrist wearables. Besides common usages, it has been proposed and reported that person information can be extracted from PPG for ot
Externí odkaz:
http://arxiv.org/abs/1911.04808