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01Benji-fish /ethiopian-languages-speech-dataset Leyu Ethiopian Languages Speech Dataset Audio recordings paired with corresponding text transcripts, collected on the Leyu Data Collection Platform — an open-source platform for crowdsourced speech data collection — for the Leyu Platform Competition, covering 4 languages: Amharic, Afaan Oromo, Sidama, Tigrinya. Dataset Summary Languages: Amharic (am), Afaan Oromo (om), Sidama (sid), Tigrinya (ti) Total examples: 2750 License: CC-BY-4.0 Task categories: Automatic… See the full description on the dataset page: https://huggingface.co/datasets/Benji-fish/ethiopian-languages-speech-dataset.audioautomatic-speech-recognition1K<n<10K0 likes982 downloads1mo agoHugging Face02malaysia-ai /fleurs-r-neucodec-all-languages FLEURS-R NeuCodec All Languages FLEURS-R metadata, source audio and precomputed NeuCodec speech tokens for 102 locales, plus a speaker label FLEURS itself does not ship. Layout data/{locale}-{split}.parquet — metadata, one row per utterance (this is what the viewer shows). audio/{locale}-{split}.zip — source FLEURS-R audio, 24kHz mono PCM16 WAV, members named audio/{locale}/{split}/{id}.wav (the path column). neucodec/{locale}-{split}-rank{N}.zip — NeuCodec… See the full description on the dataset page: https://huggingface.co/datasets/malaysia-ai/fleurs-r-neucodec-all-languages.audiotext-to-speech100K<n<1M4 likes245 downloads11d agoHugging Face03voice-biomarkers /openslr-32-hq-SA-languages-Afrikaans High quality TTS data for four South African languages - Afrikaans Source - https://openslr.org/32/ Identifier: SLR32 Summary: Multi-speaker TTS data for four South African languages - Afrikaans License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) About this resource: This data set contains multi-speaker high quality transcribed audio data for four languages of South Africa. The data set consists of wave files, and a TSV file transcribing the audio.… See the full description on the dataset page: https://huggingface.co/datasets/voice-biomarkers/openslr-32-hq-SA-languages-Afrikaans.audioautomatic-speech-recognition1K<n<10K5 likes90 downloads2y agoHugging Face04LeyuCompetition /benji-ethiopian-languages-speech-dataset Leyu Ethiopian Languages Speech Dataset Audio recordings paired with corresponding text transcripts, collected on the Leyu Data Collection Platform — an open-source platform for crowdsourced speech data collection — for the Leyu Platform Competition, covering 4 languages: Amharic, Afaan Oromo, Sidama, Tigrinya. Dataset Summary Languages: Amharic (am), Afaan Oromo (om), Sidama (sid), Tigrinya (ti) Total examples: 2750 License: CC-BY-4.0 Task categories: Automatic… See the full description on the dataset page: https://huggingface.co/datasets/LeyuCompetition/benji-ethiopian-languages-speech-dataset.audioautomatic-speech-recognition1K<n<10K0 likes71 downloads22d agoHugging Face05deepdml /openslr-32-hq-SA-languages SLR32 – High Quality TTS Data for Four South African Languages Identifier: SLR32License: CC BY-SA 4.0Source: https://www.openslr.org/32/ This dataset contains multi-speaker high quality transcribed audio data for four languages of South Africa: Afrikaans (af_za), Sesotho (st_za), Setswana (tn_za) and isiXhosa (xh_za). The dataset consists of WAV files and a TSV file transcribing the audio. In each folder the file line_index.tsv contains a FileID (which in turn encodes the UserID)… See the full description on the dataset page: https://huggingface.co/datasets/deepdml/openslr-32-hq-SA-languages.audioautomatic-speech-recognition1K<n<10K0 likes52 downloads7mo agoHugging Face06Svngoku /speech-recognition-congolese-languages Speech Recognition Datasets for Congolese Languages Dataset Details Dataset Description This dataset contains two new benchmark corpora designed for low-resource languages spoken in the Democratic Republic of the Congo: The Lingala Read Speech Corpus LRSC, with 4.3 hours of labelled audio, and the Congolese Speech Radio Corpus CSRC, which offers 741 hours of unlabeled audio spanning four significant low-resource languages of the region (Lingala, Tshiluba… See the full description on the dataset page: https://huggingface.co/datasets/Svngoku/speech-recognition-congolese-languages.audioautomatic-speech-recognition1K<n<10K4 likes45 downloads2y agoHugging Face07voice-biomarkers /openslr-32-hq-SA-languages-Setswana High quality TTS data for four South African languages - Setswana Source - https://openslr.org/32/ Identifier: SLR32 Summary: Multi-speaker TTS data for four South African languages - Setswana License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) About this resource: This data set contains multi-speaker high quality transcribed audio data for four languages of South Africa. The data set consists of wave files, and a TSV file transcribing the audio.… See the full description on the dataset page: https://huggingface.co/datasets/voice-biomarkers/openslr-32-hq-SA-languages-Setswana.audioautomatic-speech-recognition1K<n<10K1 likes44 downloads2y agoHugging Face08Max5ive /openslr-32-hq-SA-languages-Sesotho High quality TTS data for four South African languages - Sesotho Source - https://openslr.org/32/ Identifier: SLR32 Summary: Multi-speaker TTS data for four South African languages - Sesotho License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) About this resource: This data set contains multi-speaker high quality transcribed audio data for four languages of South Africa. The data set consists of wave files, and a TSV file transcribing the audio. In… See the full description on the dataset page: https://huggingface.co/datasets/Max5ive/openslr-32-hq-SA-languages-Sesotho.audioautomatic-speech-recognition1K<n<10K0 likes36 downloads6mo agoHugging Face09voice-biomarkers /openslr-32-hq-SA-languages-Sesotho High quality TTS data for four South African languages - Sesotho Source - https://openslr.org/32/ Identifier: SLR32 Summary: Multi-speaker TTS data for four South African languages - Sesotho License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) About this resource: This data set contains multi-speaker high quality transcribed audio data for four languages of South Africa. The data set consists of wave files, and a TSV file transcribing the audio. In… See the full description on the dataset page: https://huggingface.co/datasets/voice-biomarkers/openslr-32-hq-SA-languages-Sesotho.audioautomatic-speech-recognition1K<n<10K2 likes29 downloads2y agoHugging Face10voice-biomarkers /openslr-32-hq-SA-languages-isiXhosa High quality TTS data for four South African languages - isiXhosa Source - https://openslr.org/32/ Identifier: SLR32 Summary: Multi-speaker TTS data for four South African languages - isiXhosa License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) About this resource: This data set contains multi-speaker high quality transcribed audio data for four languages of South Africa. The data set consists of wave files, and a TSV file transcribing the audio.… See the full description on the dataset page: https://huggingface.co/datasets/voice-biomarkers/openslr-32-hq-SA-languages-isiXhosa.audioautomatic-speech-recognition1K<n<10K1 likes20 downloads2y agoHugging Face11African-Languages-Lab /kasagadigated Kasagadi — Ghanaian Radio Broadcast Fact-Check Dataset This is a multilingual dataset of transcribed, translated, and AI fact-checked segments from live radio broadcasts across Ghana. It is a Ghanaian initiative, covering Twi-language broadcasts from two Ghanaian FM stations and Hausa-language broadcasts from a third Ghanaian FM station serving Ghana's Zongo communities. Dataset Summary Station Language Broadcasts Segments Hours Date Range Angel FM Twi… See the full description on the dataset page: https://huggingface.co/datasets/African-Languages-Lab/kasagadi.audiotext-classification100K<n<1M0 likes17 downloads3mo agoHugging Face12African-Languages-Lab /all-lab-speechgated All Lab Speech Cleaned African-language speech with embedded, playable audio (HF Audio). One config per language (<lang> = transcribed, <lang>_manifest = audio-only); the audio column sits right after audio_id and plays in the dataset viewer. Splits (train/validation/test) come from the source split labels. from datasets import load_dataset ds = load_dataset("African-Languages-Lab/all-lab-speech", "afrikaans") Columns audio_id, audio (playable), transcript… See the full description on the dataset page: https://huggingface.co/datasets/African-Languages-Lab/all-lab-speech.audioautomatic-speech-recognition10M<n<100M2 likes4 downloads3mo agoHugging Face

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