- -

Multimodal Crowdsourcing for Transcribing Handwritten Documents

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

Multimodal Crowdsourcing for Transcribing Handwritten Documents

Mostrar el registro completo del ítem

Granell Romero, E.; Martínez Hinarejos, CD. (2017). Multimodal Crowdsourcing for Transcribing Handwritten Documents. IEEE/ACM Transactions on Audio, Speech and Language Processing. 25(2):409-419. doi:10.1109/TASLP.2016.2634123

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/82027

Ficheros en el ítem

Metadatos del ítem

Título: Multimodal Crowdsourcing for Transcribing Handwritten Documents
Autor:
Entidad UPV: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Fecha difusión:
Resumen:
Transcription of handwritten documents is an important research topic for multiple applications, such as document classification or information extraction. In the case of historical documents, their transcription allows ...[+]
Palabras clave: Crowdsourcing , Handwritten text transcription , Multimodal combination , Speech recognition
Derechos de uso: Reserva de todos los derechos
Fuente:
IEEE/ACM Transactions on Audio, Speech and Language Processing. (issn: 2329-9290 )
DOI: 10.1109/TASLP.2016.2634123
Editorial:
Institute of Electrical and Electronics Engineers (IEEE)
Versión del editor: http://ieeexplore.ieee.org/document/7762772/
Código del Proyecto: info:eu-repo/grantAgreement/EC/H2020/674943/EU
Descripción: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Agradecimientos:
This work was supported in part by projects READ-674943 (European Union's H2020), SmartWays-RTC-2014-1466-4 (MINECO), CoMUN-HaT-TIN2015-70924-C2-1-R (MINECO/FEDER), and ALMAMATER-PROMETEOII/2014/030 (Generalitat Valenciana).[+]
Tipo: Artículo

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem