CrowdSpeech
CrowdSpeech is a publicly available large-scale dataset of crowdsourced audio transcriptions. It contains annotations for more than 20 hours of English speech from more than 1,000 crowd workers.
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Crowdsourced Text Aggregation
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One of the most important parts of processing responses from crowd workers is aggregation: given several conflicting opinions, a method should extract the truth. This problem is also known as truth-inference in crowdsourcing. Text aggregation problem is dedicated to extracting the correct information from crowd workers' responses for a crowdsourcing task where the output is a text: audio transcription, translation, character recognition, etc.
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출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.