NoFA - Forced Alignment for Norwegian Bokmål

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Dataset information

Country of origin
Updated
2020.05.27 00:00
Created
2020.01.02
Available languages
English
Keywords
verktøy, språkforskning, språkbanken, språkteknologi
Quality scoring

Dataset description

NoFA is a forced alignment model for Norwegian Bokmål, created by Nate Young (https://www.nateyoung.se/) for The Language Bank. This model is specifically made for the Montreal Forced Aligner (MFA), https://montreal-forced-aligner.readthedocs.io/. Forced alignment refers to algorithms that take an audio file with speech and an orthographic transcription of the speech as input and produce a phonetic transcript where each segment (each phone) is time-aligned with the audio file. NoFA is trained on The Language Bank's speech database NB Tale and the phonetic part of the RUNDKAST database developed at the Norwegian University of Science and Technology (NTNU). See the documentation file for further information about NoFA.
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190K+
indexed dataset pages
32
countries and EU institutions
2019
API-first since
Free API quota
for evaluation and prototypes
SLA
history and push on production APIs
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