Datasets:
audio
audioduration (s) 0.04
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ti kó
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yóò sì
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ọmọ
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kí a sì fọ́ ọ yín túútúú. fetísílẹ̀,
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ǹjẹ́
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Di
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yóò
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sì fọ́
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sí
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yìí ti
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mi
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ẹni tí
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Òun yóò
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mi pé:
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mi
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gbogbo
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bá
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ẹ̀yin ilẹ̀ jíjìn réré. Ẹ palẹ̀mọ́ fún ogun,
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ni kí
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wọ́n sì
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Òun
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ebi
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sórí gbogbo
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lẹ́rù, a
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jẹ́
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Mo
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fún ilé
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bẹ̀rù.
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ni
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lóyún,
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ohun
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Olúwa. ẹni
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Èmi
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jẹ ààmì.
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pọ̀,
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Bẹ̀rù
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apá rẹ̀
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Olúwa
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tí ó
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wa. Bẹ̀rù
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kanra,
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èdìdì
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fún
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sì
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rẹ. Èmi
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wọn yóò
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ti
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Olúwa
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ọ yín
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ìgbẹ́kẹ̀lé
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túútúú!
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ìwọ
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nígbà tí
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tẹ̀lé
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mi
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Olúwa sì
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sì tẹ̀
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kí a
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sì
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yóò máa
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í mú
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sì
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kò gbọdọ̀
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sì
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rẹ̀ fò
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máa
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yóò sì
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pè ní
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ni lẹ́rù,
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wà pẹ̀lú
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ọmọ tí
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o sì
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ọ̀nà
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fún mi
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Olúwa àwọn
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yìí
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kò rí
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wọn ṣubú.
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ìmọ́lẹ̀
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májẹ̀mú! Bí
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ha yẹ
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wá sórí
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tó mọ
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ó ń
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Òun ni
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àwọn
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obìnrin náà,
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ti Samaria
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òfin
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ọwọ́ agbára
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ọ̀rọ̀
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Juda kọjá.
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mímọ́.
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wolẹ̀, wọn
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sì
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ẹni tí
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tó
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ojú rẹ̀
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májẹ̀mú náà.
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fi
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Yoruba Speech-Text Parallel Dataset
Dataset Description
This dataset contains 1647022 parallel speech-text pairs for Yoruba, a language spoken primarily in Nigeria and other West African countries. The dataset consists of audio recordings paired with their corresponding text transcriptions, making it suitable for automatic speech recognition (ASR) and text-to-speech (TTS) tasks.
Dataset Summary
- Language: Yoruba -
yo
- Task: Speech Recognition, Text-to-Speech
- Size: 1647022 audio files > 1KB (small/corrupted files filtered out)
- Format: WAV audio files with corresponding text files
- Modalities: Audio + Text
Supported Tasks
- Automatic Speech Recognition (ASR): Train models to convert Yoruba speech to text
- Text-to-Speech (TTS): Use parallel data for TTS model development
- Keyword Spotting: Identify specific Yoruba words in audio
- Phonetic Analysis: Study Yoruba pronunciation patterns
Dataset Structure
Data Fields
audio
: Audio file in WAV formattext
: Corresponding text transcription from paired text file
Data Splits
The dataset contains a single training split with 1647022 filtered audio-text pairs.
Dataset Creation
Source Data
The audio data has been sourced ethically from consenting contributors. To protect the privacy of the original authors and speakers, specific source information cannot be shared publicly.
Data Processing
- Audio files and corresponding text files were collected from organized folder structure
- Text content was read from separate
.txt
files with matching filenames - Files smaller than 1KB were filtered out to ensure audio quality
- Empty text files were excluded from the dataset
- Audio was processed using the MMS-300M-1130 Forced Aligner tool for alignment and quality assurance
Annotations
Text annotations are stored in separate text files with matching filenames to the audio files, representing the spoken content in each audio recording.
Considerations for Using the Data
Social Impact of Dataset
This dataset contributes to the preservation and digital representation of Yoruba, supporting:
- Language technology development for underrepresented languages
- Educational resources for Yoruba language learning
- Cultural preservation through digital archives
Discussion of Biases
- The dataset may reflect the pronunciation patterns and dialects of specific regions or speakers
- Audio quality and recording conditions may vary across samples
- The vocabulary is limited to the words present in the collected samples
Other Known Limitations
- Limited vocabulary scope (word-level rather than sentence-level)
- Potential audio quality variations
- Regional dialect representation may be uneven
Additional Information
Licensing Information
This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Acknowledgments
- Audio processing and alignment performed using MMS-300M-1130 Forced Aligner
- The original audio is produced by Biblica
Citation Information
If you use this dataset in your research, please cite:
@dataset{yoruba_words_parallel_2025,
title={Yoruba Words Speech-Text Parallel Dataset},
year={2025},
publisher={Hugging Face},
howpublished={\url{https://huggingface.co/datasets/[your-username]/yoruba-speech-text-parallel}}
}
Contact
For questions or concerns about this dataset, please open an issue in the dataset repository.
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