复杂环境背景中的语音遮蔽（语音）语料库

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摘要翻译：
本文介绍了在Creative Commons 4.0下的一个免费数据集--复杂环境中隐藏的声音语料库(Voices)。该数据集将促进噪声环境下远场话筒语音和信号处理的研究。公开的语音语料库大多由近距离微音的孤立语音组成。为了更好地描述真实场景，一种典型的方法是将干净的语音与噪声和模拟的房间响应进行卷积，以进行模型训练。尽管做出了这些努力，在自然条件下与未经处理的语音进行测试时，模型的性能会下降。对于这个语料库，音频是在有家具的房间里录制的，背景噪音与从LibriSpeech语料库中选择的前景语音一起播放。在每个房间记录多个会话，以适应所有前景语音-背景噪声组合。录音使用12个麦克风放置在整个房间，导致120小时的音频每个麦克风。这项工作是由SRI International和Lab41领导的多组织努力，旨在推进信号处理和语音识别中最先进的远程麦克风方法。
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英文标题：
《Voices Obscured in Complex Environmental Settings (VOICES) corpus》
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作者：
Colleen Richey and Maria A.Barrios, Zeb Armstrong, Chris Bartels,
  Horacio Franco, Martin Graciarena, Aaron Lawson, Mahesh Kumar Nandwana, Allen
  Stauffer, Julien van Hout, Paul Gamble, Jeff Hetherly, Cory Stephenson, and
  Karl Ni
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最新提交年份：
2018
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Sound        声音
分类描述：Covers all aspects of computing with sound, and sound as an information channel. Includes models of sound, analysis and synthesis, audio user interfaces, sonification of data, computer music, and sound signal processing. Includes ACM Subject Class H.5.5, and intersects with H.1.2, H.5.1, H.5.2, I.2.7, I.5.4, I.6.3, J.5, K.4.2.
涵盖了声音计算的各个方面，以及声音作为一种信息通道。包括声音模型、分析和合成、音频用户界面、数据的可听化、计算机音乐和声音信号处理。包括ACM学科类H.5.5，并与H.1.2、H.5.1、H.5.2、I.2.7、I.5.4、I.6.3、J.5、K.4.2交叉。
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一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Audio and Speech Processing        音频和语音处理
分类描述：Theory and methods for processing signals representing audio, speech, and language, and their applications. This includes analysis, synthesis, enhancement, transformation, classification and interpretation of such signals as well as the design, development, and evaluation of associated signal processing systems. Machine learning and pattern analysis applied to any of the above areas is also welcome.  Specific topics of interest include: auditory modeling and hearing aids; acoustic beamforming and source localization; classification of acoustic scenes; speaker separation; active noise control and echo cancellation; enhancement; de-reverberation; bioacoustics; music signals analysis, synthesis and modification; music information retrieval;  audio for multimedia and joint audio-video processing; spoken and written language modeling, segmentation, tagging, parsing, understanding, and translation; text mining; speech production, perception, and psychoacoustics; speech analysis, synthesis, and perceptual modeling and coding; robust speech recognition; speaker recognition and characterization; deep learning, online learning, and graphical models applied to speech, audio, and language signals; and implementation aspects ranging from system architecture to fast algorithms.
处理代表音频、语音和语言的信号的理论和方法及其应用。这包括分析、合成、增强、转换、分类和解释这些信号，以及相关信号处理系统的设计、开发和评估。机器学习和模式分析应用于上述任何领域也是受欢迎的。感兴趣的具体主题包括：听觉建模和助听器；声波束形成与声源定位；声场景分类；说话人分离；有源噪声控制和回声消除；增强；去混响；生物声学；音乐信号的分析、合成与修饰；音乐信息检索；多媒体音频和联合音视频处理；口语和书面语建模、切分、标注、句法分析、理解和翻译；文本挖掘；言语产生、感知和心理声学；语音分析、合成、感知建模和编码；鲁棒语音识别；说话人识别与特征描述；应用于语音、音频和语言信号的深度学习、在线学习和图形模型；以及从系统架构到快速算法的实现方面。
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英文摘要：
  This paper introduces the Voices Obscured In Complex Environmental Settings (VOICES) corpus, a freely available dataset under Creative Commons BY 4.0. This dataset will promote speech and signal processing research of speech recorded by far-field microphones in noisy room conditions. Publicly available speech corpora are mostly composed of isolated speech at close-range microphony. A typical approach to better represent realistic scenarios, is to convolve clean speech with noise and simulated room response for model training. Despite these efforts, model performance degrades when tested against uncurated speech in natural conditions. For this corpus, audio was recorded in furnished rooms with background noise played in conjunction with foreground speech selected from the LibriSpeech corpus. Multiple sessions were recorded in each room to accommodate for all foreground speech-background noise combinations. Audio was recorded using twelve microphones placed throughout the room, resulting in 120 hours of audio per microphone. This work is a multi-organizational effort led by SRI International and Lab41 with the intent to push forward state-of-the-art distant microphone approaches in signal processing and speech recognition.
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PDF链接：
https://arxiv.org/pdf/1804.05053

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关键词：复杂环境 语料库 Applications Modification Architecture 音频 方法 模型 Complex 语音