Casablanca: Data and Models for Multidialectal Arabic Speech Recognition
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2024
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866914965905997824 |
|---|---|
| author | Talafha, Bashar Kadaoui, Karima Magdy, Samar Mohamed Habiboullah, Mariem Chafei, Chafei Mohamed El-Shangiti, Ahmed Oumar Zayed, Hiba tourad, Mohamedou cheikh Alhamouri, Rahaf Assi, Rwaa Alraeesi, Aisha Mohamed, Hour Alwajih, Fakhraddin Mohamed, Abdelrahman Mekki, Abdellah El Nagoudi, El Moatez Billah Saadia, Benelhadj Djelloul Mama Alsayadi, Hamzah A. Al-Dhabyani, Walid Shatnawi, Sara Ech-Chammakhy, Yasir Makouar, Amal Berrachedi, Yousra Jarrar, Mustafa Shehata, Shady Berrada, Ismail Abdul-Mageed, Muhammad |
| author_facet | Talafha, Bashar Kadaoui, Karima Magdy, Samar Mohamed Habiboullah, Mariem Chafei, Chafei Mohamed El-Shangiti, Ahmed Oumar Zayed, Hiba tourad, Mohamedou cheikh Alhamouri, Rahaf Assi, Rwaa Alraeesi, Aisha Mohamed, Hour Alwajih, Fakhraddin Mohamed, Abdelrahman Mekki, Abdellah El Nagoudi, El Moatez Billah Saadia, Benelhadj Djelloul Mama Alsayadi, Hamzah A. Al-Dhabyani, Walid Shatnawi, Sara Ech-Chammakhy, Yasir Makouar, Amal Berrachedi, Yousra Jarrar, Mustafa Shehata, Shady Berrada, Ismail Abdul-Mageed, Muhammad |
| contents | In spite of the recent progress in speech processing, the majority of world languages and dialects remain uncovered. This situation only furthers an already wide technological divide, thereby hindering technological and socioeconomic inclusion. This challenge is largely due to the absence of datasets that can empower diverse speech systems. In this paper, we seek to mitigate this obstacle for a number of Arabic dialects by presenting Casablanca, a large-scale community-driven effort to collect and transcribe a multi-dialectal Arabic dataset. The dataset covers eight dialects: Algerian, Egyptian, Emirati, Jordanian, Mauritanian, Moroccan, Palestinian, and Yemeni, and includes annotations for transcription, gender, dialect, and code-switching. We also develop a number of strong baselines exploiting Casablanca. The project page for Casablanca is accessible at: www.dlnlp.ai/speech/casablanca. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_04527 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Casablanca: Data and Models for Multidialectal Arabic Speech Recognition Talafha, Bashar Kadaoui, Karima Magdy, Samar Mohamed Habiboullah, Mariem Chafei, Chafei Mohamed El-Shangiti, Ahmed Oumar Zayed, Hiba tourad, Mohamedou cheikh Alhamouri, Rahaf Assi, Rwaa Alraeesi, Aisha Mohamed, Hour Alwajih, Fakhraddin Mohamed, Abdelrahman Mekki, Abdellah El Nagoudi, El Moatez Billah Saadia, Benelhadj Djelloul Mama Alsayadi, Hamzah A. Al-Dhabyani, Walid Shatnawi, Sara Ech-Chammakhy, Yasir Makouar, Amal Berrachedi, Yousra Jarrar, Mustafa Shehata, Shady Berrada, Ismail Abdul-Mageed, Muhammad Computation and Language In spite of the recent progress in speech processing, the majority of world languages and dialects remain uncovered. This situation only furthers an already wide technological divide, thereby hindering technological and socioeconomic inclusion. This challenge is largely due to the absence of datasets that can empower diverse speech systems. In this paper, we seek to mitigate this obstacle for a number of Arabic dialects by presenting Casablanca, a large-scale community-driven effort to collect and transcribe a multi-dialectal Arabic dataset. The dataset covers eight dialects: Algerian, Egyptian, Emirati, Jordanian, Mauritanian, Moroccan, Palestinian, and Yemeni, and includes annotations for transcription, gender, dialect, and code-switching. We also develop a number of strong baselines exploiting Casablanca. The project page for Casablanca is accessible at: www.dlnlp.ai/speech/casablanca. |
| title | Casablanca: Data and Models for Multidialectal Arabic Speech Recognition |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2410.04527 |