Audio Quality Evaluation
AudioEvaluation Rating
This was a large-scale Automatic Speech Recognition project whose main aim was to improve the reliability and accuracy of speech to text systems. My main role was to compare spoken content against transcripts to assess accuracy, completeness, and contextual alignment, I also identified discrepancies such as omissions, insertions and mispronunciations. I flagged low quality recordings and ensured strict adherence to the annotation guidelines.
I operated within a high-volume environment and I always delivered precise, reliable outputs while meeting the defined accuracy and quality standards.
This was a large-scale Automatic Speech Recognition project whose main aim was to improve the reliability and accuracy of speech to text systems. My main role was to compare spoken content against transcripts to assess accuracy, completeness, and contextual alignment, I also identified discrepancies such as omissions, insertions and mispronunciations. I flagged low quality recordings and ensured strict adherence to the annotation guidelines. I operated within a high-volume environment and I always delivered precise, reliable outputs while meeting the defined accuracy and quality standards.
2024 - 2025