| 1 |
ASR training dataset for Croatian ParlaSpeech-HR v1.0
|
|
|
|
Abstract:
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.
|
|
Keyword:
automatic speech recognition; parliamentary debates; speech database; speech recognition; speech recordings; speech transcription
|
|
URL: http://hdl.handle.net/11356/1494
|
|
BASE
|
|
Hide details
|
|
|
| 2 |
Xie, X., Liu, L., & Jaeger, T. F. (2021-JEP:G). Cross-talker generalization in the perception of non-nativespeech: a large-scale replication ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 3 |
A Comparison of Hybrid and End-to-End ASR Systems for the IberSpeech-RTVE 2020 Speech-to-Text Transcription Challenge
|
|
|
|
In: Applied Sciences; Volume 12; Issue 2; Pages: 903 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
A perceptual study of language chunking in Estonian
|
|
|
|
In: Open Linguistics, Vol 8, Iss 1, Pp 1-26 (2022) (2022)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
|
|
|
|
In: ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; https://halshs.archives-ouvertes.fr/halshs-03030529 ; ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages, Mar 2021, Hawai‘i, United States (2021)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Utility of the Intelligibility in Context Scale for Predicting Speech Intelligibility of Children with Cerebral Palsy
|
|
|
|
In: Brain Sciences ; Volume 11 ; Issue 11 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
|
|
|
|
In: ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; https://halshs.archives-ouvertes.fr/halshs-03030529 ; ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages, Mar 2021, Hawai‘i, United States (2021)
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Automatic Speech Recognition for Supporting Endangered Language Documentation
|
|
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Automatic Speech Recognition for Supporting Endangered Language Documentation
|
|
|
|
BASE
|
|
Show details
|
|
|
| 15 |
Seshat: A tool for managing and verifying annotation campaigns of audio data
|
|
|
|
In: LREC 2020 - 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02496041 ; LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France. pp.6976-6982 (2020)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Phonetics Workbook for Students of Communication Sciences and Disorders
|
|
|
|
In: MSL Academic Endeavors eBooks (2020)
|
|
BASE
|
|
Show details
|
|
|
| 17 |
Textometry on Audiovisual Corpora ; Textometry on Audiovisual Corpora: Experiments with TXM software
|
|
|
|
In: 15th International Conference on Statistical Analysis of Textual Data JADT 2020 ; https://halshs.archives-ouvertes.fr/halshs-02779055 ; 15th International Conference on Statistical Analysis of Textual Data JADT 2020, Laboratoire d’Etudes et Recherches Appliquées en Sciences Sociales (Lerass), EA827, Université de Toulouse 3 - Paul Sabatier, Jun 2020, Toulouse, France ; https://jadt2020.sciencesconf.org/ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 18 |
User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
|
|
|
|
In: ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; https://halshs.archives-ouvertes.fr/halshs-03030529 ; 2020 ; https://computel-workshop.org/ (2020)
|
|
BASE
|
|
Show details
|
|
|
|
|
