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Hits 1 – 5 of 5
1
ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings [<Journal>]
Räsänen, Okko
[Verfasser];
Seshadri, Shreyas
[Verfasser];
Lavechin, Marvin
[Verfasser].
DNB Subject Category Language
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2
ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings
Räsänen, Okko
;
Seshadri, Shreyas
;
Lavechin, Marvin
...
In: Behav Res Methods (2020)
BASE
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3
SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech ...
Seshadri, Shreyas
;
Räsänen, Okko
. - : arXiv, 2019
BASE
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4
Zs2017 Aaltolag Submission #1 (Mostly Testing) ...
Räsänen, Okko
;
Seshadri, Shreyas
. - : Zenodo, 2017
Abstract:
First submission to the IEEE ASRU / Zero-Resource Speech Processing Challenge with a syllable-based pattern discovery system. Mostly testing the functionality of the system and ensuring that track1 / track2 results replicate for Mandarin/English/French also on the server. The track1/track2 systems require MATLAB (see the readme in /system/ for dependencies and tested platform). Questions and comments to okko.rasanen@aalto.fi. Note: This package is NOT an official distribution of the included pattern discovery system. The package is simply intended as a ZS2017 challenge submission and the current version contains large amounts of undocumented lab code. ... : See the readme in the system folder for a brief description of the system. Assumes cosine distance and pattern length normalization in track1 evaluation. Please see the readme in the system folder for a list of dependencies that are included in the package for completeness of challenge submission, but are not created or maintained by the present authors. ...
URL:
https://zenodo.org/record/810808
https://dx.doi.org/10.5281/zenodo.810808
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5
Zs2017 Aaltolag Submission #1 (Mostly Testing) ...
Räsänen, Okko
;
Seshadri, Shreyas
. - : Zenodo, 2017
BASE
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