Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ruben Zazo"'
Publikováno v:
IEEE Access, Vol 6, Pp 22524-22530 (2018)
Age estimation from speech has recently received increased interest as it is useful for many applications such as user-profiling, targeted marketing, or personalized call-routing. This kind of applications need to quickly estimate the age of the spea
Externí odkaz:
https://doaj.org/article/cef807ed01b6401f8b0ae5794dc5f2d6
Publikováno v:
PLoS ONE, Vol 12, Iss 8, p e0182580 (2017)
Language recognition systems based on bottleneck features have recently become the state-of-the-art in this research field, showing its success in the last Language Recognition Evaluation (LRE 2015) organized by NIST (U.S. National Institute of Stand
Externí odkaz:
https://doaj.org/article/dc2eea914ea3440786006471faab3e48
Autor:
Ruben Zazo, Alicia Lozano-Diez, Javier Gonzalez-Dominguez, Doroteo T Toledano, Joaquin Gonzalez-Rodriguez
Publikováno v:
PLoS ONE, Vol 11, Iss 1, p e0146917 (2016)
Long Short Term Memory (LSTM) Recurrent Neural Networks (RNNs) have recently outperformed other state-of-the-art approaches, such as i-vector and Deep Neural Networks (DNNs), in automatic Language Identification (LID), particularly when dealing with
Externí odkaz:
https://doaj.org/article/f126de5000e3411c8f477c18fcd614d8
Publikováno v:
IEEE Access, Vol 6, Pp 22524-22530 (2018)
Age estimation from speech has recently received increased interest as it is useful for many applications such as user-profiling, targeted marketing, or personalized call-routing. This kind of applications need to quickly estimate the age of the spea
Publikováno v:
Odyssey
Publikováno v:
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
INTERSPEECH
instname
INTERSPEECH
Voice Activity Detection (VAD) is an important preprocessing step in any state-of-the-art speech recognition system. Choosing the right set of features and model architecture can be challenging and is an active area of research. In this paper we prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c242422ee965d11e8d3b1d96519f0f5
http://hdl.handle.net/10486/675731
http://hdl.handle.net/10486/675731
Autor:
Doroteo Torre Toledano, Joaquin Gonzalez-Rodriguez, Ruben Zazo, Alicia Lozano-Diez, Javier Gonzalez-Dominguez
Publikováno v:
PLoS ONE
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
PLoS ONE, Vol 11, Iss 1, p e0146917 (2016)
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
PLoS ONE, Vol 11, Iss 1, p e0146917 (2016)
Zazo R, Lozano-Diez A, Gonzalez-Dominguez J, T. Toledano D, Gonzalez-Rodriguez J (2016) Language Identification in Short Utterances Using Long Short-Term Memory (LSTM) Recurrent Neural Networks. PLoS ONE 11(1): e0146917. doi:10.1371/journal.pone.0146
Autor:
Ruben Zazo, Joaquin Gonzalez-Rodriguez, Alicia Lozano-Diez, Javier Gonzalez-Dominguez, Daniel Ramos
Publikováno v:
Advances in Speech and Language Technologies for Iberian Languages ISBN: 9783319136226
IberSPEECH
IberSPEECH
Convolutional deep neural networks CDNNs have been successfully applied to different tasks within the machine learning field, and, in particular, to speech, speaker and language recognition. In this work, we have applied them to pair-wise language re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44e1df839df69aff7a97ea1cec5d9541
https://doi.org/10.1007/978-3-319-13623-3_9
https://doi.org/10.1007/978-3-319-13623-3_9
Publikováno v:
Advances in Speech and Language Technologies for Iberian Languages ISBN: 9783642352911
IberSPEECH
IberSPEECH
This paper explores the use of state-of-the-art acoustic systems, namely Total Variability and Probabilistic Linear Discriminant Analysis for speaker verification on short utterances. While the recent advances in the field dealing with the session va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22a11b111da585747f008169c3d15ec2
https://doi.org/10.1007/978-3-642-35292-8_2
https://doi.org/10.1007/978-3-642-35292-8_2