Audio Transcription
Executed a finance-focused audio transcription and data labeling project involving the conversion of recorded financial discussions, investor briefings, and client calls into accurate, structured text data. The project required high attention to detail in capturing industry-specific terminology, numerical data, and speaker distinctions. Performed end-to-end transcription tasks including audio segmentation, timestamping, speaker identification, and text normalization. Ensured consistency in formatting and adherence to predefined annotation guidelines to maintain dataset uniformity. Handled a dataset of over 120 hours of audio content, maintaining an average accuracy rate above 98% through multiple quality assurance checks. Applied noise filtering techniques and contextual interpretation to improve transcription clarity, especially in low-quality or overlapping audio segments. Collaborated with quality reviewers to validate outputs and implemented feedback to continuously improve accuracy and turnaround time. Maintained strict confidentiality and data security standards due to the sensitive nature of financial information.