Zobrazeno 41 - 50
of 58
pro vyhledávání: '"Ascensión Gallardo-Antolín"'
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
instname
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
We present an evolutionary approach to speaker segmentation, an activity that is especially important prior to speaker recognition and audio content analysis tasks. Our approach consists of a genetic algorithm (GA), which encodes possible segmentatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2e01100d8e6f1cee5cd7a1b2ebaf0a5
https://hdl.handle.net/10016/32890
https://hdl.handle.net/10016/32890
Autor:
Carmen Peláez-Moreno, Fernando Diaz-de-Maria, Ascensión Gallardo-Antolín, Diego F. Gomez-Cajas
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
Automatic speech recognition (ASR) is called to play a relevant role in the provision of spoken interfaces for IP-based applications. However, as a consequence of the transit of the speech signal over these particular networks, ASR systems need to fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c34465069be82ae4579f7a869bbb336
http://hdl.handle.net/10016/2321
http://hdl.handle.net/10016/2321
Autor:
Ascensión Gallardo-Antolín, Darío Martín-Iglesias, J. Bernal-Chaves, Carmen Peláez-Moreno, Fernando Diaz-de-Maria
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Nonlinear Analyses and Algorithms for Speech Processing ISBN: 9783540312574
NOLISP
instname
Nonlinear Analyses and Algorithms for Speech Processing ISBN: 9783540312574
NOLISP
Automatic Speech Recognition (ASR) is essentially a problem of pattern classification, however, the time dimension of the speech signal has prevented to pose ASR as a simple static classification problem. Support Vector Machine (SVM) classifiers coul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::821536629ff0240878dcfe035add9b53
http://hdl.handle.net/10016/1593
http://hdl.handle.net/10016/1593
Autor:
Carmen Peláez-Moreno, Adrian Zambrano-Miranda, Emilio Parrado-Hernández, Ascensión Gallardo-Antolín, Fernando Diaz-de-Maria
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Artificial Neural Networks — ICANN 2002 ISBN: 9783540440741
ICANN
instname
Artificial Neural Networks — ICANN 2002 ISBN: 9783540440741
ICANN
Voice over IP (VoIP) is becoming very popular due to the huge range of services that can be implemented by integrating different media (voice, audio, data, etc.). Besides, voice-enabled interfaces for those services are being very actively researched
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad12782aacb5bd1c13f53136a0832d62
https://hdl.handle.net/10016/2352
https://hdl.handle.net/10016/2352
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
The Internet Protocol (IP) environment poses two relevant sources of distortion to the speech recognition problem: lossy speech coding and packet loss. In this paper, we propose a new front-end for speech recognition over IP networks. Specifically, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f165e0ddbdc2c057beebc9cd71117ee
https://hdl.handle.net/10016/2319
https://hdl.handle.net/10016/2319
Publikováno v:
Scopus-Elsevier
Publikováno v:
IEEE Access, Vol 6, Pp 72083-72093 (2018)
The concept of saliency describes how relevant a stimulus is for humans. This phenomenon has been studied under different perspectives and modalities, such as audio, visual, or both. It has been employed in intelligent systems to interact with their
Externí odkaz:
https://doaj.org/article/0212dba449f24e27b9942751b2e04c4b
Publikováno v:
Scopus-Elsevier
ICASSP
ICASSP
We have extended our previous research on a new approach to automatic speech recognition (ASR) in the GSM environment. Instead of recognizing from the decoded speech signal, our system works from the digital speech representation used by the GSM enco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14ba9dc1b7c0a2f0479920383674f238
http://www.scopus.com/inward/record.url?eid=2-s2.0-0032627262&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-0032627262&partnerID=MN8TOARS
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3302896b4376b0a2926ca8f85cade6fc
http://www.scopus.com/inward/record.url?eid=2-s2.0-85009154271&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85009154271&partnerID=MN8TOARS
Publikováno v:
Scopus-Elsevier
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
INTERSPEECH
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
INTERSPEECH
Proceedings of: 14th Annual Conference of the International Speech Communication Association. Lyon, France, 25-29 August 2013. In this paper, we propose a new front-end for Acoustic Event Classification tasks (AEC) based on the combination of the tem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f468ca597d655b4581875533b9a4a43
http://www.scopus.com/inward/record.url?eid=2-s2.0-84906264286&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84906264286&partnerID=MN8TOARS