Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Ebru Arisoy"'
Autor:
Merve Unlu, Ebru Arisoy
Publikováno v:
SLT
This paper describes a spoken question answering system that utilizes the uncertainty in automatic speech recognition (ASR) to mitigate the effect of ASR errors on question answering. Spoken question answering is typically performed by transcribing s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2ebaa8fbc40803c3048f31eda5797bb
https://avesis.gsu.edu.tr/publication/details/b3e5f267-f51d-46e1-8e8a-59d406a3a165/oai
https://avesis.gsu.edu.tr/publication/details/b3e5f267-f51d-46e1-8e8a-59d406a3a165/oai
Autor:
Ebru Arisoy, Enver Fakhan
Publikováno v:
2020 28th Signal Processing and Communications Applications Conference (SIU).
Publikováno v:
SIU
Subword units are often utilized to achieve better performance in speech recognition because of the high number of observed words in agglutinative languages. In this study, the proper use of subword units is explored in recognition by a reconsiderati
Publikováno v:
SIU
The main purpose of this study is to automatically highlight important regions of lecture video subtitles. Even though watching videos is an effective way of learning, the main disadvantage of video-based education is limited interaction between the
Publikováno v:
ICASSP
This paper presents a question answering (QA) system developed for spoken lecture processing. The questions are presented to the system in written form and the answers are returned from lecture videos. In contrast to the widely studied reading compre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cccf791408204fc28dbd483e359df3f
https://avesis.gsu.edu.tr/publication/details/b37ea0da-7b0d-4c24-a182-108144489217/oai
https://avesis.gsu.edu.tr/publication/details/b37ea0da-7b0d-4c24-a182-108144489217/oai
Autor:
Ebru Arisoy, Murat Saraglar
Publikováno v:
SIU
In this study a decade old automatic speech recognition system for Turkish broadcast news transcription is revisited and updated with the latest methods. Recently deep learning using artificial neural networks resulted in significant improvements in
Autor:
Ebru Arisoy
Publikováno v:
SIU
With the increase of online video lectures, using speech and language processing technologies for education has become quite important. This paper presents an automatic transcription and retrieval system developed for processing spoken lectures in Tu
Autor:
Ebru Arisoy, Murat Saraclar
Publikováno v:
INTERSPEECH
Continuous space language models (CSLMs) have been proven to be successful in speech recognition. With proper training of the word embeddings, words that are semantically or syntactically related are expected to be mapped to nearby locations in the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19245945b60ffdefb7386ea2e6efd85e
https://aperta.ulakbim.gov.tr/record/55569
https://aperta.ulakbim.gov.tr/record/55569
Publikováno v:
IEEE Transactions on Audio, Speech, and Language Processing. 17:874-883
This paper summarizes our recent efforts for building a Turkish Broadcast News transcription and retrieval system. The agglutinative nature of Turkish leads to a high number of out-of-vocabulary (OOV) words which in turn lower automatic speech recogn
Autor:
Ebru Arisoy, Murat Saraclar, Matti Varjokallio, Mikko Kurimo, Mathias Creutz, Andreas Stolcke, Teemu Hirsimäki, Antti Puurula, Vesa Siivola, Janne Pylkkönen
Publikováno v:
ACM Transactions on Speech and Language Processing. 5:1-29
We explore the use of morph-based language models in large-vocabulary continuous-speech recognition systems across four so-called morphologically rich languages: Finnish, Estonian, Turkish, and Egyptian Colloquial Arabic. The morphs are subword units