English Transcription and Labelling
Identified English voices into several parts, such as speaker A/B, gender, emotion, tone, quality. Also, check if the transcription is correct, then merge into one segment if same speaker is speaking
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I have experienced in Korean Annotator that identified Korean voices into several parts, such as: gender, emotion, age, mic quality, accent, etc. I also worked as English Transcription and Labelling used Appen platform. The job is quite similar with Korean Annotator that had to identified English video/podcast into several parts, and also need to check if the transcription is correct, then combine the audio segment with the same speaker.
Identified English voices into several parts, such as speaker A/B, gender, emotion, tone, quality. Also, check if the transcription is correct, then merge into one segment if same speaker is speaking
Identified Korean voices into several parts, such as: gender, age, emotion, accent, tone, mic quality, etc.
Bachelor Degree, International Relations
Language Korean Interpreter
Data Entry