Appen
AppenAudioClassificationText Generation
I am working on an audio annotation project with Appen, where I listen to audio recordings and transcribe them into text. In addition to transcription, I perform speaker segmentation by labeling different participants in conversations, emotion classification ranging from neutral to happy or angry, and pitch analysis to capture changes in vocal intensity. The project involves thousands of audio clips from diverse speakers and environments, delivered through the Appen platform. Quality is ensured through strict guideline compliance, accuracy thresholds, inter-annotator agreement checks, and continuous feedback to maintain consistency, reliability, and high annotation standards.
I am working on an audio annotation project with Appen, where I listen to audio recordings and transcribe them into text. In addition to transcription, I perform speaker segmentation by labeling different participants in conversations, emotion classification ranging from neutral to happy or angry, and pitch analysis to capture changes in vocal intensity. The project involves thousands of audio clips from diverse speakers and environments, delivered through the Appen platform. Quality is ensured through strict guideline compliance, accuracy thresholds, inter-annotator agreement checks, and continuous feedback to maintain consistency, reliability, and high annotation standards.
2025