  This paper introduces a high-quality rich annotated Mandarin conversational
(RAMC) speech dataset called MagicData-RAMC. The MagicData-RAMC corpus contains
180 hours of conversational speech data recorded from native speakers of
Mandarin Chinese over mobile phones with a sampling rate of 16 kHz. The dialogs
in MagicData-RAMC are classified into 15 diversified domains and tagged with
topic labels, ranging from science and technology to ordinary life. Accurate
transcription and precise speaker voice activity timestamps are manually
labeled for each sample. Speakers' detailed information is also provided. As a
Mandarin speech dataset designed for dialog scenarios with high quality and
rich annotations, MagicData-RAMC enriches the data diversity in the Mandarin
speech community and allows extensive research on a series of speech-related
tasks, including automatic speech recognition, speaker diarization, topic
detection, keyword search, text-to-speech, etc. We also conduct several
relevant tasks and provide experimental results to help evaluate the dataset.
