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M

Merel Drop

Data annotation for speech and text

Sweden flagGothenburg, Sweden
$20.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

LLM
NLP
Speech/phonology

Top Data Types

AudioAudio
TextText
DocumentDocument

Top Task Types

ClassificationClassification
SegmentationSegmentation
Text SummarizationText Summarization
Question AnsweringQuestion Answering
Text GenerationText Generation
TranscriptionTranscription
Data CollectionData Collection

Freelancer Overview

Data annotation for whispered speech conversion model, Whispp. Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Arts, University of Gothenburg (2024) and Bachelor of Arts, Leiden University (2023). AI-training focus includes data types such as Audio and labeling workflows including Classification.

IntermediateEnglishDutchGerman

Labeling Experience

Data annotation protocol and labeling for speech cognition research, Leiden University Centre for Linguistics

AudioClassification
I developed an annotation protocol and designed a study framework for annotating audio files containing speech data from individuals with mild cognitive decline. This involved careful listening to speech data and assigning labels relating to cognitive condition and speech features. Coordination with research teams ensured consistency in labeling practices. • Designed and documented an audio annotation protocol • Labeled features in speech data linked to cognitive decline • Ensured data quality with repeat checks • Enabled research for Alzheimer’s studies

I developed an annotation protocol and designed a study framework for annotating audio files containing speech data from individuals with mild cognitive decline. This involved careful listening to speech data and assigning labels relating to cognitive condition and speech features. Coordination with research teams ensured consistency in labeling practices. • Designed and documented an audio annotation protocol • Labeled features in speech data linked to cognitive decline • Ensured data quality with repeat checks • Enabled research for Alzheimer’s studies

2022 - 2022

Data annotation for whispered speech conversion model, Whispp

AudioClassification
I annotated whispered speech audio data to support the development of a machine learning model that transforms whispered speech into regular, non-whispered speech. My responsibilities included systematically listening to audio files and applying accurate classification labels. The work required attention to detail and consistent application of a defined annotation protocol. • Labeled audio data for AI training purposes • Collaborated with a team of linguistics students • Adhered to quality standards set by developers • Supported speech technology innovation

I annotated whispered speech audio data to support the development of a machine learning model that transforms whispered speech into regular, non-whispered speech. My responsibilities included systematically listening to audio files and applying accurate classification labels. The work required attention to detail and consistent application of a defined annotation protocol. • Labeled audio data for AI training purposes • Collaborated with a team of linguistics students • Adhered to quality standards set by developers • Supported speech technology innovation

2021 - 2021

Education

L

Leiden University

Bachelor of Arts, Linguistics

Bachelor of Arts
2019 - 2023
U

University of Gothenburg

Master of Arts, Language Technology

Master of Arts
2024

Work History

R

Restaurant

Barista/Cook

Leiden
2016 - 2023