- Deskripsi :
Korpus TED-LIUM adalah pembicaraan TED berbahasa Inggris, dengan transkripsi, diambil sampelnya pada 16kHz. Ini berisi sekitar 118 jam pidato.
Dokumentasi Tambahan : Jelajahi di Makalah Dengan Kode
Kode sumber :
tfds.datasets.tedlium.Builder
Versi :
-
1.0.1
(default): Tidak ada catatan rilis.
-
Di-cache otomatis ( dokumentasi ): Tidak
Struktur fitur :
FeaturesDict({
'gender': ClassLabel(shape=(), dtype=int64, num_classes=3),
'id': string,
'speaker_id': string,
'speech': Audio(shape=(None,), dtype=int64),
'text': Text(shape=(), dtype=string),
})
- Dokumentasi fitur :
Fitur | Kelas | Membentuk | Dtype | Keterangan |
---|---|---|---|---|
fiturDict | ||||
jenis kelamin | LabelKelas | int64 | ||
pengenal | Tensor | rangkaian | ||
speaker_id | Tensor | rangkaian | ||
pidato | Audio | (Tidak ada,) | int64 | |
teks | Teks | rangkaian |
Kunci yang diawasi (Lihat
as_supervised
doc ):('speech', 'text')
Gambar ( tfds.show_examples ): Tidak didukung.
Kutipan :
@inproceedings{rousseau2012tedlium,
title={TED-LIUM: an Automatic Speech Recognition dedicated corpus},
author={Rousseau, Anthony and Del{\'e}glise, Paul and Est{\`e}ve, Yannick},
booktitle={Conference on Language Resources and Evaluation (LREC)},
pages={125--129},
year={2012}
}
tedlium/release1 (konfigurasi default)
Deskripsi konfigurasi : Korpus TED-LIUM adalah pembicaraan TED berbahasa Inggris, dengan transkripsi, diambil sampelnya pada 16kHz. Ini berisi sekitar 118 jam pidato.
This is the TED-LIUM corpus release 1, licensed under Creative Commons BY-NC-ND 3.0 (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.en).
Beranda : https://www.openslr.org/7/
Ukuran unduhan :
19.82 GiB
Ukuran dataset :
39.23 GiB
Perpecahan :
Membelah | Contoh |
---|---|
'test' | 1.469 |
'train' | 56.803 |
'validation' | 591 |
- Contoh ( tfds.as_dataframe ):
tedlium/rilis2
Deskripsi konfigurasi : Ini adalah rilis korpus TED-LIUM 2, dilisensikan di bawah Creative Commons BY-NC-ND 3.0 ( http://creativecommons.org/licenses/by-nc-nd/3.0/deed.en ).
All talks and text are property of TED Conferences LLC. The TED-LIUM corpus was made from audio talks and their transcriptions available on the TED website. We have prepared and filtered these data in order to train acoustic models to participate to the International Workshop on Spoken Language Translation 2011 (the LIUM English/French SLT system reached the first rank in the SLT task). Contains 1495 talks and transcripts.
Beranda : https://www.openslr.org/19/
Ukuran unduhan :
34.26 GiB
Ukuran dataset :
67.04 GiB
Perpecahan :
Membelah | Contoh |
---|---|
'test' | 1.469 |
'train' | 92.973 |
'validation' | 591 |
- Contoh ( tfds.as_dataframe ):
tedlium/rilis3
Deskripsi konfigurasi : Ini adalah rilis korpus TED-LIUM 3, dilisensikan di bawah Creative Commons BY-NC-ND 3.0.
All talks and text are property of TED Conferences LLC. This new TED-LIUM release was made through a collaboration between the Ubiqus company and the LIUM (University of Le Mans, France) Contents: - 2351 audio talks in NIST sphere format (SPH), including talks from TED-LIUM 2: be careful, same talks but not same audio files (only these audio file must be used with the TED-LIUM 3 STM files) - 452 hours of audio - 2351 aligned automatic transcripts in STM format - TEDLIUM 2 dev and test data: 19 TED talks in SPH format with corresponding manual transcriptions (cf. 'legacy' distribution below). - Dictionary with pronunciations (159848 entries), same file as the one included in TED-LIUM 2 - Selected monolingual data for language modeling from WMT12 publicly available corpora: these files come from the TED-LIUM 2 release, but have been modified to get a tokenization more relevant for English language Two corpus distributions: - the legacy one, on which the dev and test datasets are the same as in TED-LIUM 2 (and TED-LIUM 1). - the 'speaker adaptation' one, especially designed for experiments on speaker adaptation.
Beranda : https://www.openslr.org/51/
Ukuran unduhan :
50.59 GiB
Ukuran dataset :
145.67 GiB
Perpecahan :
Membelah | Contoh |
---|---|
'test' | 1.469 |
'train' | 268.263 |
'validation' | 591 |
- Contoh ( tfds.as_dataframe ):