Swahili Audio Transcription and Annotation for AI Speech Recognition
AudioTranscription
Reviewed and corrected machine-generated Swahili transcriptions to improve the quality of speech-recognition datasets. Listened to audio recordings, verified segmentation accuracy, corrected spelling and grammar, and ensured that the final transcripts matched the spoken content exactly. Worked with both formal Swahili and regional variations, maintaining high attention to detail and consistency across all tasks.
Contributed to the annotation and labeling of more than 100 audio files while following strict quality guidelines and project instructions. Maintained accuracy by reviewing completed work multiple times, identifying inconsistencies, and ensuring that all transcripts met the required standards for AI model training.
Reviewed and corrected machine-generated Swahili transcriptions to improve the quality of speech-recognition datasets. Listened to audio recordings, verified segmentation accuracy, corrected spelling and grammar, and ensured that the final transcripts matched the spoken content exactly. Worked with both formal Swahili and regional variations, maintaining high attention to detail and consistency across all tasks. Contributed to the annotation and labeling of more than 100 audio files while following strict quality guidelines and project instructions. Maintained accuracy by reviewing completed work multiple times, identifying inconsistencies, and ensuring that all transcripts met the required standards for AI model training.
2026 - Present