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Português
$
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I will provide native kinyarwanda voice recordings for ai and speech training
EU Best Storyteller 2025 , UGC Creator ,Digital Content Expert
Rwandan ICT professional & award-winning storyteller with 6+ years of experience. MSc in Embedded & Mobile Systems | BSc Computer Sciences.
Recognized as Best Storyteller by the EU & Norwegian People...
Sobre este Serviço
Expert Kinyarwanda Data for AI Training
Looking for high-quality, human-verified Kinyarwanda datasets? As a Master of Computer Science and native speaker, I provide technical-grade audio and text annotation for AI/ML models.
Services Include:
- Manual Transcription: Verbatim text for Kinyarwanda audio.
- Custom Recording: Clean, studio-quality voice datasets.
- NLP Tagging: Intent labeling and entity recognition.
- Ready-to-Use Files: Delivered in CSV, JSON, or WAV.
Why Me?
- Technical Expertise: I understand data preprocessing and AI pipelines.
- 100% Accuracy: No botsjust native, manual verification.
- Fast Delivery: Professional data for the Rwandan market and Kinyarwanda speaker.
Order now or message me for custom datasets!
Técnica:
Manual
Tipo de marcação:
Texto
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Áudio
Meu portfólio
Perguntas frequentes
1. What audio format do you provide?
Answer: I typically deliver high-quality, uncompressed WAV files (44.1kHz or 48kHz, Mono). However, I can provide MP3, FLAC, or OGG if your specific AI model requires it.
2. Is the data transcribed manually or by AI?
Answer: Everything is done 100% manually. As a native speaker and Computer Science graduate, I ensure that every word is verbatim and culturally accurate, which is critical for high-performance AI training.
3. Can you provide custom technical vocabulary?
Answer: Yes. I can record datasets focused on specific domains such as Medical, Legal, Finance, or Technology to help your model understand specialized Kinyarwanda terminology.
4. Do you provide the data in JSON or CSV?
Answer: Yes. I can deliver the metadata and transcriptions in CSV, JSON, or TXT formats, formatted specifically to plug directly into your machine learning pipeline.
