oai:www.ldc.upenn.edu:LDC2022S08
| |
OLAC Record oai:www.ldc.upenn.edu:LDC2022S08 |
| Metadata | ||
| Title: | MASRI Synthetic | |
| Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
| Bibliographic Citation: | Hernández Mena, Carlos Daniel, et al. MASRI Synthetic LDC2022S08. Web Download. Philadelphia: Linguistic Data Consortium, 2022 | |
| Contributor: | Hernández Mena, Carlos Daniel | |
| Gatt, Albert | ||
| Borg, Claudia | ||
| DeMarco, Andrea | ||
| van der Plas, Lonneke | ||
| Date (W3CDTF): | 2022 | |
| Date Issued (W3CDTF): | 2022-09-15 | |
| Description: | *Introduction* MASRI (Maltese Automatic Speech Recognition I) Synthetic was developed by the MASRI team at the University of Malta and consists of approximately 99 hours of synthesized Maltese speech. *Data* Source sentences were extracted from the Maltese Language Resource Server (MLRS) corpus, comprised of written or transcribed Maltese covering various genres, including parliamentary debates, news, law, opinion, sports, culture, academic, literature and religious texts. Text was processed through the CrimsonWing text-to-speech system to generate speech files. Synthesized speech was created with 210 voices (105 male and 105 female). Audio files are presented as 16kHz, 16-bit, single channel flac files. When uncompressed, they produce PCM wav files. Transcripts are contained in a single plain text file encoded as UTF-8. *Samples* Please view the following samples: * Female Audio (FLAC) * Female Transcript (TXT) * Male Audio (FLAC) * Male Transcript (TXT) *Updates* None at this time. | |
| Extent: | Corpus size: 7039442 KB | |
| Format: | Sampling Rate: 16000 | |
| Sampling Format: flac | ||
| Identifier: | LDC2022S08 | |
| https://catalog.ldc.upenn.edu/LDC2022S08 | ||
| ISBN: 1-58563-995-8 | ||
| ISLRN: 518-019-551-096-3 | ||
| DOI: 10.35111/wc8h-h752 | ||
| Language: | Maltese | |
| Language (ISO639): | mlt | |
| License: | MASRI Synthetic Agreement: https://catalog.ldc.upenn.edu/license/masri-synthetic-agreement.pdf | |
| Medium: | Distribution: Web Download | |
| Publisher: | Linguistic Data Consortium | |
| Publisher (URI): | https://www.ldc.upenn.edu | |
| Relation (URI): | https://catalog.ldc.upenn.edu/docs/LDC2022S08 | |
| Rights Holder: | Portions © 2022 University of Malta, © 2022 Trustees of the University of Pennsylvania | |
| Type (DCMI): | Sound | |
| Text | ||
| Type (OLAC): | primary_text | |
OLAC Info |
||
| Archive: | The LDC Corpus Catalog | |
| Description: | http://www.language-archives.org/archive/www.ldc.upenn.edu | |
| GetRecord: | OAI-PMH request for OLAC format | |
| GetRecord: | Pre-generated XML file | |
OAI Info |
||
| OaiIdentifier: | oai:www.ldc.upenn.edu:LDC2022S08 | |
| DateStamp: | 2023-01-01 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Hernández Mena, Carlos Daniel; Gatt, Albert; Borg, Claudia; DeMarco, Andrea; van der Plas, Lonneke. 2022. Linguistic Data Consortium. | |
| Terms: | area_Europe country_MT dcmi_Sound dcmi_Text iso639_mlt olac_primary_text | |