21 to 29 of 29 Results
Sep 18, 2025 - Language Technologies Laboratory
Baybars Kulebi; Marti Llopart; Jose Omar Giraldo Valencia; Armentano i Oller, Carme; Alexandre Cristian Peiro Lilja, 2025, "LaFrescat", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/ZP7GNT, BSC Dataverse, V1
We present LaFresCat, the first Catalan multiaccented and multispeaker dataset. This dataset was created with recordings from professional voice actors at Lafresca Creative Studio. The processing pipeline included several steps: Trimming long silences, Resampling from 48 kHz to 22.05 kHz, Stereo to mono conversion The dataset totals 3.75 hours afte... |
Sep 18, 2025 - Language Technologies Laboratory
Hernández Mena, Carlos Daniel; Armentano i Oller, Carme, 2025, "cv17_es_other_automatically_verified", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/2DFJYA, BSC Dataverse, V1
"cv17_es_other_automatically_verified," is, as the name suggests, the result of the automatic validation of the "other" portion of Common Voice 17.0. The validation process was carried out using OpenAI's Whisper large model. If Whisper produces the same text as the Common Voice prompt, the transcription is considered valid regardless of its votes.... |
Sep 18, 2025 - Language Technologies Laboratory
Baybars Kulebi; Armentano i Oller, Carme; Alexandre Cristian Peiro Lilja, 2025, "openslr-slr69-ca-trimmed-denoised", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/OASOAN, BSC Dataverse, V1
This is a post-processed version of the Catalan subset belonging to the Open Speech and Language Resources (OpenSLR) speech dataset. Specifically the subset OpenSLR-69. We processed the data of the Catalan OpenSLR with the following recipe: Trimming, Resampling, Denoising. |
Sep 18, 2025 - Language Technologies Laboratory
Külebi, Baybars, 2025, "parlament_parla", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/RBGNSJ, BSC Dataverse, V1
This is the ParlamentParla speech corpus of more than 600 hours of speech from Catalan Parliament sessions. The audio segments were extracted from recordings the Catalan Parliament (Parlament de Catalunya) plenary sessions, which took place between 2007/07/11 - 2018/07/17. We aligned the transcriptions with the recordings and extracted the corpus.... |
Sep 18, 2025 - Language Technologies Laboratory
Jose Omar Giraldo Valencia; Armentano i Oller, Carme; Peiró-Lilja, Alex; Llopart, Martí, 2025, "festcat_trimmed_denoised", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/SJXGXT, BSC Dataverse, V1
This is a post-processed version of the Catalan Festcat speech dataset. We processed the data of the Catalan Festcat with the following recipe: Trimming (Long silences from the start and the end of clips have been removed), Resampling (From 48000 Hz to 22050 Hz, which is the most common sampling rate for training TTS models), Denoising (Although ba... |
Sep 18, 2025 - Language Technologies Laboratory
Messaoudi, Abir; Romero Diaz, Jacobo; Francisco Javier Hernando Pericas, 2025, "CAESAR-TV3", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/Z0E9OV, BSC Dataverse, V1
This corpus includes 5 hours and 45 minutes of Catalan speech code-switched with Spanish extracted from the original tv3_parla dataset. |
Sep 18, 2025 - Language Technologies Laboratory
Solito, Sarah; Messaoudi, Abir; Külebi, Baybars, 2025, "parlament_parla_v3", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/JSUTRR, BSC Dataverse, V1
'parlament_parla_v3' is a speech corpus composed of Catalan Parliamentary Sessions.The v3 and last version of the corpus includes both clean and other quality segments, divided into short segments (less than 30 seconds) and long segments (more than 30 seconds). The total dataset encompasses 1059h 48m 04s of speech, including 945h 51m 06s for the sh... |
Sep 18, 2025 - Language Technologies Laboratory
Messaoudi, Abir; Solito, Sarah; Külebi, Baybars, 2025, "corts_valencianes_asr_a", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/YFCUPS, BSC Dataverse, V1
The Corts Valencianes Speech Corpus is a rich dataset composed of speech recordings from the sessions of the Corts Valencianes. The corpus includes both clean and other quality segments, divided into short segments (less than 30 seconds) and long segments (more than 30 seconds). The total dataset encompasses 270 hours, 5 minutes, and 34 seconds of... |
Sep 18, 2025 - Earth Sciences
Bowdalo, Dene, 2025, "GHOST: A globally harmonised dataset of surface atmospheric composition measurements", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/1YNJTT, BSC Dataverse, V1
GHOST: Globally Harmonised Observations in Space and Time, represents one of the biggest collection of harmonised measurements of atmospheric composition at the surface. In total, 7,275,148,646 measurements from 1970-2023, of 227 different components, from 38 reporting networks, are compiled, parsed, and standardised. Components processed include g... |
