Audio Annotation Practice (Freelance / Self-Directed)
OtherAudioSegmentation
The candidate performed audio annotation on voice recordings, segmenting them into phonemes using ARPABET standards. They marked precise timestamps for each phoneme and vocal transition while also analyzing pitch and tonal patterns in the data. This work emphasized consistency, accuracy, and quality control across multiple annotated samples.
• Annotated voice recordings with detailed phoneme segmentation.
• Applied ARPABET for transcription and phonetic labeling.
• Identified and labeled pitch variations and tonal transitions.
• Reviewed, corrected, and ensured high-quality annotations.
The candidate performed audio annotation on voice recordings, segmenting them into phonemes using ARPABET standards. They marked precise timestamps for each phoneme and vocal transition while also analyzing pitch and tonal patterns in the data. This work emphasized consistency, accuracy, and quality control across multiple annotated samples. • Annotated voice recordings with detailed phoneme segmentation. • Applied ARPABET for transcription and phonetic labeling. • Identified and labeled pitch variations and tonal transitions. • Reviewed, corrected, and ensured high-quality annotations.
Present