@inproceedings{a92453d88cc44e018809d7246a46c453,
title = "Aucher: Multi-modal queries on live audio streams in real-time",
abstract = "This paper demonstrates a real-time search system called Aucher for live audio streams. Audio streaming services (e.g., Mixlr, Ximalaya, Lizhi and Facebook Live Audio) have become increasingly popular with the wide use of smart phones. Because of the popularity of audio broadcasting, the data volume of live audio streams is also ever increasing. Searching and indexing these audio streams is an important and challenging problem. Aucher is a system prototype which can support both voice search and keyword search on audio streams. We achieve the real-time response for queries by our novel index which exploits log structured merge-trees and supports multi-modal search. Moreover, our system can handle insertion about four times faster and more memory efficient than the state-of-the-art solution. We plan to demonstrate searching live audio streams by keywords and voice, illustrate the trade-off of freshness, popularity and relevance on query results, perform searching hot terms, and show the ability of searching live audio streams in real-time.",
keywords = "Audio streams, Indexing, Multi modal query, Real time search",
author = "Zeyi Wen and Mingyu Liang and Bingsheng He and Zexin Xia and Bo Li",
year = "2019",
month = apr,
day = "1",
doi = "10.1109/ICDE.2019.00214",
language = "English",
series = "Proceedings - International Conference on Data Engineering",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "1960--1963",
booktitle = "Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019",
address = "United States",
note = "35th IEEE International Conference on Data Engineering, ICDE 2019 ; Conference date: 08-04-2019 Through 11-04-2019",
}