Paper Info
Title
Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset.
Abstract
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.
Year
DOI
Venue
2022
10.21437/Interspeech.2022-729
Conference of the International Speech Communication Association (INTERSPEECH)
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
12
Name
Order
Citations
PageRank
Zehui Yang101.01
Yifan Chen247470.39
Lei Luo35612.41
Runyan Yang402.37
Lingxuan Ye501.01
Gaofeng Cheng601.69
Ji Xu734.14
Yaohui Jin801.69
Qingqing Zhang910214.76
Pengyuan Zhang1002.03
Lei Xie1142564.87
Yonghong Yan12656114.13