ASR training dataset for Croatian ParlaSpeech-HR v1.0

  Avtorji

Ljubešić, Nikola ; et al.prikaži vse

Ljubešić, Nikola ; Koržinek, Danijel ; Rupnik, Peter ; Jazbec, Ivo-Pavao ; Batanović, Vuk ; Bajčetić, Lenka ; Evkoski, Bojan

  Identifikator vnosa

http://hdl.handle.net/11356/1494

 URL projekta

https://www.clarin.eu/content/parlamint-towards-comparable-parliamentary-corpora

 Demo URL

https://huggingface.co/classla/wav2vec2-xls-r-parlaspeech-hr

 Dokumentirano v

https://aclanthology.org/2022.parlaclarin-1.16

 Datum objave

2022-04-04

 Vrsta

audio, corpus

 Velikost

403925 entries, 6538823 seconds, 1816 hours

 Jezik(i)

Croatian

 Opis

The ParlaSpeech-HR dataset is built from parliamentary proceedings available in the Croatian part of the ParlaMint corpus and the parliamentary recordings available from the Croatian Parliament's YouTube channel. The corpus consists of segments 8-20 seconds in length. There are two transcripts available: the original one, and the one normalised via a simple rule-based normaliser. Each of the transcripts contains word-level alignments to the recordings. Each segment has a reference to the ParlaMint 2.1 corpus (http://hdl.handle.net/11356/1432) via utterance IDs. If a segment is based on a single utterance, speaker information for that segment is available as well. There is speaker information available for 381,849 segments, i.e., 95% of all segments. Speaker information consists of all the speaker information available from the ParlaMint 2.1 corpus (name, party, gender, age, status, role). There are all together 309 speakers in the dataset. The dataset is divided into a training, a development, and a testing subset. Development data consist of 500 segments coming from the 5 most frequent speakers, with the goal of not losing speaker variety on dev data. Test data consist of 513 segments that come from 3 male (258 segments) and 3 female speakers (255 segments). There are no segments coming from the 6 test speakers in the two remaining subsets. The 22,076 instances not having speaker information are not assigned to any of the three subsets. The remaining 380,836 instances form the training set.

 Izdajatelj

Jožef Stefan Institute

 Zahvala

Jožef Stefan Institute CLARIN "CLARIN.SI"

ARRS (Slovenian Research Agency) P6-0411 "Language Resources and Technologies for Slovene"

CLARIN ERIC - "ParlaMint: Towards Comparable Parliamentary Corpora"

ARRS (Slovenian Research Agency) N6-0099 "LiLaH: Linguistic Landscape of Hate Speech"

 Ključne besede

parliamentary debates speech recordings speech database speech recognition automatic speech recognition speech transcription

 Zbirke

CLARIN.SI data & tools

 

Ta vnos je bil nadomeščen z novejšim.

http://hdl.handle.net/11356/1914

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