2006 NIST Speaker Recognition Evaluation Test Set Part 1

Introduction 2006 NIST Speaker Recognition Evaluation Test Set Part 1 was developed by LDC and NIST (National Institute of Standards and Technology). It contains 437 hours of conversational telephone and microphone speech in English, Arabic, Bengali, Chinese, Farsi, Hindi, Korean, Russian, Spanish, Thai and Urdu and associated English transcripts used as test data in the NIST-sponsored 2006 Speaker Recognition Evaluation (SRE). The ongoing series of SRE yearly evaluations conducted by NIST are intended to be of interest to researchers working on the general problem of text independent speaker recognition. To this end the evaluations are designed to be simple, to focus on core technology issues, to be fully supported and to be accessible to those wishing to participate. The task of the 2006 SRE evaluation was speaker detection, that is, to determine whether a specified speaker is speaking during a given segment of conversational telephone speech. The task was divided into 15 distinct and separate tests involving one of five training conditions and one of four test conditions. Further information about the test conditions and additional documentation is available in the 2006 SRE Evaluation Plan. LDC also previously released 2006 NIST Speaker Recognition Evaluation Training Set. Data The speech data in this release was collected by LDC as part of the Mixer project, in particular Mixer Phases 1, 2 and 3. The Mixer project supports the development of robust speaker recognition technology by providing carefully collected and audited speech from a large pool of speakers recorded simultaneously across numerous microphones and in different communicative situations and/or in multiple languages. The data is mostly English speech, but includes some speech in Arabic, Bengali, Chinese, Farsi, Hindi, Korean, Russian, Spanish, Thai and Urdu. The telephone speech segments are multi-channel data collected simultaneously from a number of auxiliary microphones. The files are organized into four types: two-channel excerpts of approximately 10 seconds, two-channel conversations of approximately 5 minutes, summed-channel conversations also of approximately 5 minutes and a two-channel conversation with the usual telephone speech replaced by auxiliary microphone data in the putative target speaker channel. The auxiliary microphone conversations are also of approximately five minutes in length. The speech files are stored as 8-bit u-law speech signals in separate SPHERE files. In addition to the standard header fields, the SPHERE header for each file contains some auxiliary information such as the language of the conversation. English language transcripts in .ctm format were produced using an automatic speech recognition (ASR) system. Samples For an example of the data contained in this corpus, review this audio sample. Updates None at this time. Portions © 2004-2006, 2011 Trustees of the University of Pennsylvania

介绍：2006年NIST说话人识别评测测试集第一部分由语言数据联盟（LDC, Linguistic Data Consortium）与美国国家标准与技术研究院（NIST, National Institute of Standards and Technology）联合开发。该数据集包含总计437小时的会话电话语音与麦克风语音，涵盖英语、阿拉伯语、孟加拉语、汉语、波斯语、印地语、韩语、俄语、西班牙语、泰语及乌尔都语，同时附带配套的英文转写文本，作为NIST赞助的2006年说话人识别评测（SRE, Speaker Recognition Evaluation）的测试数据使用。
NIST每年举办的系列SRE评测，旨在面向从事文本无关说话人识别通用问题研究的科研人员。为此，该系列评测设计简洁，聚焦核心技术议题，提供全面支持并便于有意参与的研究者加入。2006年SRE评测的任务为说话人检测，即判定指定说话人是否在给定的会话电话语音片段中发声。该任务被划分为15项独立测试，由5种训练条件与4种测试条件两两组合而成。关于测试条件的更多细节与补充文档，请参阅《2006 SRE评测方案》。LDC此前还发布过2006年NIST说话人识别评测训练集。
数据集详情：本批次发布的语音数据由LDC作为Mixer项目的一部分采集完成，具体涵盖Mixer项目第1、2、3阶段。Mixer项目通过从海量说话人样本中精心采集并审核语音数据——这些语音同时通过多麦克风采集、应用于不同通信场景，且覆盖多种语言——为鲁棒性说话人识别技术的研发提供支撑。数据主体为英语语音，同时包含少量阿拉伯语、孟加拉语、汉语、波斯语、印地语、韩语、俄语、西班牙语、泰语及乌尔都语语音。电话语音片段为多通道数据，同步由多台辅助麦克风采集得到。文件共分为四类：时长约10秒的双声道片段、时长约5分钟的双声道会话、时长同样约5分钟的单声道求和会话，以及一类特殊双声道会话：其常规电话语音通道被替换为疑似目标说话人通道的辅助麦克风数据。辅助麦克风会话的时长同样约为5分钟。语音文件以8位μ律（u-law）语音信号格式存储于独立的SPHERE文件中。除标准头字段外，每个文件的SPHERE头还包含部分辅助信息，例如会话所用语言。采用自动语音识别（ASR, Automatic Speech Recognition）系统生成了.ctm格式的英文转写文本。
示例：如需查看本语料库中数据的示例，请查阅该音频示例。
更新：暂无最新更新。
部分内容 © 2004-2006、2011 宾夕法尼亚大学受托人

搜集汇总

背景与挑战

背景概述

该数据集是2006年NIST说话人识别评估的测试集第一部分，包含437小时的电话和麦克风对话语音，覆盖英语、阿拉伯语、中文等多种语言，主要用于说话人检测任务的评估。数据来源于Mixer项目，提供多通道录音和自动生成的英文转录，支持说话人识别技术的研究与开发。