Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Hybrid ASR"'
Autor:
Tanvina Patel, Odette Scharenborg
Publikováno v:
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH.
In the diverse and multilingual land of India, Hindi is spoken as a first language by a majority of its population. Efforts are made to obtain data in terms of audio, transcriptions, dictionary, etc. to develop speech-technology applications in Hindi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f35b25b174446e7cdaad75c3607353c
https://doi.org/10.21437/interspeech.2022-10639
https://doi.org/10.21437/interspeech.2022-10639
Autor:
Heba, Abdelwahab
Publikováno v:
Son [cs.SD]. Université toulouse 3 Paul Sabatier, 2021. Français
At Linagora, the OpenPaasNG project was launched in 2015 for a period of 4 years with the purpose of building a new generation of collaborative platform which provides a videoconferencing tool using artificial intelligence technologies such as speech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::19af827229d3ecccbe97048feb6bf040
https://hal.archives-ouvertes.fr/tel-03269807/document
https://hal.archives-ouvertes.fr/tel-03269807/document
Conference
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Autor:
Ana I. García-Moral, Carmen Peláez-Moreno, Fernando Diaz-de-Maria, Manel Martínez-Ramón, Rubén Solera-Ureña
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
In the last years, support vector machines (SVMs) have shown excellent performance in many applications, especially in the presence of noise. In particular, SVMs offer several advantages over artificial neural networks (ANNs) that have attracted the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b451860ea96f9f47382f7cd16e211c91
https://doi.org/10.1109/tasl.2011.2178597
https://doi.org/10.1109/tasl.2011.2178597
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
Hybrid speech recognizers, where the estimation of the emission pdf of the states of Hidden Markov Models (HMMs), usually carried out using Gaussian Mixture Models (GMMs), is substituted by Artificial Neural Networks (ANNs) have several advantages ov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4ed24640face6b3a98f7efe62a64716
https://doi.org/10.1109/tasl.2010.2050513
https://doi.org/10.1109/tasl.2010.2050513
Kniha
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Publikováno v:
Bell, P, Swietojanski, P & Renals, S 2013, Multi-level adaptive networks in tandem and hybrid ASR systems . in Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on . Institute of Electrical and Electronics Engineers (IEEE), pp. 6975-6979 . https://doi.org/10.1109/ICASSP.2013.6639014
ICASSP
ICASSP
In this paper we investigate the use of Multi-level adaptive networks (MLAN) to incorporate out-of-domain data when training large vocabulary speech recognition systems. In a set of experiments on multi-genre broadcast data and on TED lecture recordi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a8b422a5d1fb4f9881fcfd3a501c0df
https://www.pure.ed.ac.uk/ws/files/12453723/Bell_Swietojanski_Renals_2013_Multi_level_adaptive_networks_in_tandem_and_hybrid_asr_systems.pdf
https://www.pure.ed.ac.uk/ws/files/12453723/Bell_Swietojanski_Renals_2013_Multi_level_adaptive_networks_in_tandem_and_hybrid_asr_systems.pdf
Autor:
Ascensión Gallardo-Antolín, Fernando Diaz-de-Maria, Rubén Solera-Ureña, Darío Martín-Iglesias, Carmen Peláez-Moreno
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
The improved theoretical properties of Support Vector Machines with respect to other machine learning alternatives due to their max-margin training paradigm have led us to suggest them as a good technique for robust speech recognition. However, impor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::019637d68f58f9dc8543ee889293b0fa
https://hdl.handle.net/10016/2322
https://hdl.handle.net/10016/2322
Conference
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Conference
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