完善的配套/搜索 [英] Sound matching / search

问题描述

这是在本领域中实用方面的声音匹配/搜索的当前状态？我目前远程参与策划的Web应用程序，除其他外，将包含揭露记录短音频剪辑的数据库（最多3-5秒，人名）。有一个问题已经提出是否有可能根据用户的语音输入来实现搜索。我的直觉告诉我，这是无论从计算一个不可能完成的任务以及看法的算法来看，尤其是在Web应用程序（再说，它不会应用的核心功能）。我认识到，有可能是一些学术项目，它会是一个很好的研究课题，但它不是任何可实施的中型Web应用程序作为一个附加功能。为了支持我的要求我花了半个多小时搜索，这样我就不会错过任何明显的，但我真的找不到任何的良好来源。

What is the current state of the art of sound matching / search in practical terms? I am currently remotely involved in planning a web application which, among others, will contain and expose a database of recorded short audio clips (at most 3-5 seconds, names of people). A question has been raised whether it would be possible to implement search based on user voice input. My gut tells me that it is an impossible task both from computational as well as algorithmic point of view, especially in web application (and besides that it would not a core feature of the application). I realize that there are perhaps a number of academic projects and that it would be a good research topic, but it’s not anything that could be implemented to a medium sized web application as an additional feature. To support my claims I spent half an hours searching so that I would not miss anything obvious, but I really could not find any good sources.

我知道，这不是很负责任地问上SO一个问题没有花更多的时间研究我自己，但我已经注意到，烧制出来的SO一个问题是更为有效，precise和更快的只是随机谷歌搜索的东西。

I know that it’s not very responsible to ask a question on SO without spending more time researching on my own, but I’ve been noticing that firing out a question on SO is far more effective, precise and faster that just randomly Googling stuff.

推荐答案

有一些音频指纹识别技术在那里，（主要是专利），它本质上'哈希'的音频文件。然后搜索是一个简单的哈希表或数据库查询。

There are some audio fingerprinting technologies out there, (mostly proprietary), which essentially `hashes' an audio file. Then searching is an easy hashtable or database lookup.

MusicBrainz的具有各种技术的一个很好的破败这里

Musicbrainz has a good run-down of the various technologies Here

无论这些指纹是合适的或准确的特定的情形，我不能告诉你。

Whether or not these fingerprints are suitable or accurate for your particular situation, I couldn't tell you.

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