Logo Lanfrica

Waxal-Multilingual/speech-data

Domain:

natural language processing

Record type:

dataset
Creator:
Wax
Host:
This repository contains multi-modal speech data for African languages that can be used to train ASR and NLP models # Waxal Speech Data Resources ## Stats | Language | Participants | Recordings | Speech hours | Transcribed Hours | |----------|-----|----|-----|-------------------| | Wolof |4242 |86296 | 519 | 6.45 | ## Goal Collect/Create NLP resources using crowdsourced speech and text data of diverse African languages and use it to research novel architectures and deep learning algorithms for multilingual NLP systems (Speech, NMT, Q&A, LM, etc.) that are robust to variations in accents, code switching, and targeted at low-end mobile devices. Waxal will make NLP systems more inclusive while advancing the state of the art in deep learning for NLP and machine learning under severe memory/computing constraints. ## Context Africa is the most linguistically diverse continent in the world. The performance of SOTA NLP systems is fragile in most African languages compared to the European ones (for example) despite a similar or more significant number of speakers. For example, while the number of Swahili and German language speakers are identical (L1 and L2, about 100M), the latter is far better studied by the research community than the former. Also, even though European languages such as English, French, and Portuguese are official languages in most African countries, the local spoken and written variations can have substantial differences compared to the standard versions of the European languages. The vocabulary and accents are largely influenced by the local languages. Current NLP systems rarely consider such discrepancies. Consequently, significant portions of people are locked out of the opportunities opened by the recent advances in natural language processing and its applications. ## Usage Data for each language's audio is stored in a different folder. The CSV structure is the same across languages. Download the latest release from Releases. ### Audio files Download the audio files from this repo. You can then replace `storage.googleapis.c