Speech Technology for Unwritten Languages

Autor: Mark Hasegawa-Johnson, Lucas Ondel, Elin Larsen, Shruti Palaskar, Liming Wang, Sebastian Stüker, Francesco Ciannella, Markus Müller, Odette Scharenborg, Rachid Riad, Florian Metze, Pierre Godard, Laurent Besacier, Mingxing Du, Alan W. Black, Danny Merkx, Emmanuel Dupoux, Philip Arthur, Graham Neubig

Publikováno v: IEEE/ACM Transactions on Audio, Speech and Language Processing
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2020, ⟨10.1109/TASLP.2020.2973896⟩
IEEE/ACM Transactions on Audio Speech and Language Processing, 28, 964-975
IEEE/ACM Transactions on Audio Speech and Language Processing, 28, pp. 964-975
IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2020, ⟨10.1109/TASLP.2020.2973896⟩
IEEE-ACM Transactions on Audio, Speech, and Language Processing, 28

International audience; Speech technology plays an important role in our everyday life. Speech is, among others, used for human-computer interaction, including, for instance, information retrieval and on-line shopping. In the case of an unwritten lan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91e8981c6d7470b56776e09c0e74b11f
https://doi.org/10.1109/taslp.2020.2973896

ASR Error Correction and Domain Adaptation Using Machine Translation

Autor: Florian Metze, Anirudh Mani, Shruti Palaskar, Sandeep Konam, Nimshi Venkat Meripo

Publikováno v: ICASSP

Off-the-shelf pre-trained Automatic Speech Recognition (ASR) systems are an increasingly viable service for companies of any size building speech-based products. While these ASR systems are trained on large amounts of data, domain mismatch is still a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08b58882fac7a441d7ee3900ece8b1c9
https://doi.org/10.1109/icassp40776.2020.9053126

How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language

Autor: Xavier Giro-i-Nieto, Shruti Palaskar, Deepti Ghadiyaram, Kenneth DeHaan, Amanda Duarte, Lucas Ventura, Jordi Torres, Florian Metze

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
CVPR

Trabajo presentado en la IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), celebrada de forma virtual del 19 al 25 de junio de 2021
One of the factors that have hindered progress in the areas of sign language recognition, tr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b8f11f0f1f12b91b5cc9293c6c8c458

Multimodal Abstractive Summarization for How2 Videos

Autor: Florian Metze, Shruti Palaskar, Jindrich Libovický, Spandana Gella

Publikováno v: ACL (1)

In this paper, we study abstractive summarization for open-domain videos. Unlike the traditional text news summarization, the goal is less to "compress" text information but rather to provide a fluent textual summary of information that has been coll

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6aa27daa5a29233765228267168bf6df

Learning from Multiview Correlations in Open-Domain Videos

Autor: Florian Metze, Pranava Madhyastha, Shruti Palaskar, Raman Arora, Nils Holzenberger

Publikováno v: ICASSP

An increasing number of datasets contain multiple views, such as video, sound and automatic captions. A basic challenge in representation learning is how to leverage multiple views to learn better representations. This is further complicated by the e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63791503bec8fae677ca8433a62dce28
http://arxiv.org/abs/1811.08890