Rating and Annotation of AI-Generated Speech
Performed annotation and quality assessment of AI-generated voices, including rating naturalness, clarity, and overall speech quality for AI model evaluation.
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I am an experienced data annotator and transcriber specializing in Dutch language projects, with a strong background in AI training data and quality assurance. My work includes converting Dutch audio files into accurate text transcriptions, labeling and annotating Dutch text files, and performing QA to ensure the highest standards of accuracy and consistency. I have collaborated with companies such as DataForce by TransPerfect, Amberscript, ElevenLabs, and Productive Playhouse, working on projects involving natural language processing and AI-generated voices. My attention to detail, linguistic expertise, and commitment to data quality make me a reliable contributor to data annotation and AI training initiatives. I am fluent in Dutch and highly proficient in English, with additional skills in German and Spanish, allowing me to work effectively in multilingual environments.
Performed annotation and quality assessment of AI-generated voices, including rating naturalness, clarity, and overall speech quality for AI model evaluation.
Transcribing Dutch-language video content and annotating all audio segments, including music, sound effects, and other non-verbal sounds.
Annotating and classifying customer service call transcripts for data analysis and model training.
Master of Laws, Dutch Criminal Law
First Year’s Degree, Interdisciplinary Social Sciences
Dutch transcriber and rating AI-generated voices
Dutch transcriber