AfriSpeech/youversion-african-speech

Domain:

natural language processing

Record type:

dataset

Creator:

Afr

Host:

Language Subset Segments Duration Afar Afar_aar 1,818 4.26h Akan Akan_aka 2,180 3.66h Amharic Amharic_amh 1,413 3.01h Baoulé Baoule_bci 803 1.82h Bemba_(Zambia) Bemba_Zambia_bem 1,284 2.82h Burkina_Faso_Fulfulde Burkina_Faso_Fulfulde_ffm 3,474 4.46h Dan Dan_daf 1,458 3.28h Fon Fon_fon 1,237 2.85h Fulani Fulani_fuv 2,152 3.76h Ganda Ganda_lug 1,418 2.87h Hausa Hausa_hau 1,518 3.13h Igbo Igbo_ibo 1,653 4.18h

AfriSpeech/grn-african-speech

15-second, 16kHz mono voice-only clips extracted from Global Recordings Network language recordings

AfriSpeech/african-speech-public_v1

Subset Language ISO 639-3 Region Clips Hours Train/Val/Test abbey_aba Abbey aba CI 1776 5.03 1574/1

AfriSpeech/african-speech-id

CPU-friendly, fast language identification for 1,386 African languages # african-speech-id CPU-fri

YouVersion African Speech — MOSS-TTS-Nano prepped

Preprocessed training data for finetuning MOSS-TTS-Nano: every audio clip from AfriSpeech/youversion

Intron AfriSpeech-200 Automatic Speech Recognition Challenge

Can you create an automatic speech recognition (ASR) model for African accents, for use by doctors? African hospitals have some of the lowest doctor-patient ratios in the world. At very busy clinics, doctors could see over 30 patients a day without any of the prod

AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR

Africa has a very poor doctor-to-patient ratio. At very busy clinics, doctors could see 30+ patients

AfriSpeech/youversion-african-speech

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