[PDF][PDF] ASR for documenting acutely under-resourced indigenous languages
R Jimerson, E Prud'Hommeaux - Proceedings of the Eleventh …, 2018 - aclanthology.org
Despite its potential utility for facilitating the transcription of speech recordings, automatic
speech recognition (ASR) has not been widely explored as a tool for documenting …
speech recognition (ASR) has not been widely explored as a tool for documenting …
Multilingual graphemic hybrid ASR with massive data augmentation
Towards developing high-performing ASR for low-resource languages, approaches to
address the lack of resources are to make use of data from multiple languages, and to …
address the lack of resources are to make use of data from multiple languages, and to …
Large-scale semi-supervised training in deep learning acoustic model for ASR
Y Long, Y Li, S Wei, Q Zhang, C Yang - IEEE Access, 2019 - ieeexplore.ieee.org
This study investigated large-scale semi-supervised training (SST) to improve acoustic
models for automatic speech recognition. The conventional self-training, the recently …
models for automatic speech recognition. The conventional self-training, the recently …
ASR for under-resourced languages from probabilistic transcription
MA Hasegawa-Johnson, P Jyothi… - … on Audio, Speech …, 2016 - ieeexplore.ieee.org
In many under-resourced languages it is possible to find text, and it is possible to find
speech, but transcribed speech suitable for training automatic speech recognition (ASR) is …
speech, but transcribed speech suitable for training automatic speech recognition (ASR) is …
Multilingual techniques for low resource automatic speech recognition
E Chuangsuwanich - 2016 - dspace.mit.edu
Out of the approximately 7000 languages spoken around the world, there are only about
100 languages with Automatic Speech Recognition (ASR) capability. This is due to the fact …
100 languages with Automatic Speech Recognition (ASR) capability. This is due to the fact …
Improving asr output for endangered language documentation
R Jimerson, K Simha, R Ptucha… - The 6th intl. workshop …, 2018 - par.nsf.gov
Documenting endangered languages supports the historical preservation of diverse
cultures. Automatic speech recognition (ASR), while potentially very useful for this task, has …
cultures. Automatic speech recognition (ASR), while potentially very useful for this task, has …
[图书][B] Computational tools for endangered language documentation
A Anastasopoulos - 2019 - search.proquest.com
COMPUTATIONAL TOOLS FOR ENDANGERED LANGUAGE DOCUMENTATION A
Dissertation Submitted to the Graduate School of the University of N Page 1 …
Dissertation Submitted to the Graduate School of the University of N Page 1 …
A case study on using speech-to-translation alignments for language documentation
A Anastasopoulos, D Chiang - arXiv preprint arXiv:1702.04372, 2017 - arxiv.org
For many low-resource or endangered languages, spoken language resources are more
likely to be annotated with translations than with transcriptions. Recent work exploits such …
likely to be annotated with translations than with transcriptions. Recent work exploits such …
Multitask learning for phone recognition of underresourced languages using mismatched transcription
It is challenging to obtain large amounts of native (matched) labels for speech audio in
underresourced languages. This challenge is often due to a lack of literate speakers of the …
underresourced languages. This challenge is often due to a lack of literate speakers of the …
Multi-object classification via crowdsourcing with a reject option
Consider designing an effective crowdsourcing system for M-ary classification where crowd
workers complete simple binary microtasks, which are aggregated to give the final result. We …
workers complete simple binary microtasks, which are aggregated to give the final result. We …