2008 NIST Speaker Recognition Evaluation Training Set Part 1

Introduction 2008 NIST Speaker Recognition Evaluation Training Set Part 1 was developed by LDC and NIST (National Institute of Standards and Technology). It contains 640 hours of multilingual telephone speech and English interview speech along with time-aligned transcripts and other materials used as training data in the 2008 NIST Speaker Recognition Evaluation (SRE). SRE is part of an ongoing series of evaluations conducted by NIST. These evaluations are an important contribution to the direction of research efforts and the calibration of technical capabilities. They are intended to be of interest to all researchers working on the general problem of text independent speaker recognition. To this end the evaluation is designed to be simple, to focus on core technology issues, to be fully supported, and to be accessible to those wishing to participate. The 2008 evaluation was distinguished from prior evaluations, in particular those in 2005 and 2006, by including not only conversational telephone speech data but also conversational speech data of comparable duration recorded over a microphone channel involving an interview scenario. Data The speech data in this release was collected in 2007 by LDC at its Human Subjects Data Collection Laboratories in Philadelphia and by the International Computer Science Institute (ICSI) at the University of California, Berkley. This collection was part of the Mixer 5 project, which was designed to support 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. Mixer participants were native English and bilingual English speakers. The telephone speech in this corpus is predominately English, but also includes the languages identified above. All interview segments are in English. Telephone speech represents approximately 565 hours of the data, whereas microphone speech represents the other 75 hours. The telephone speech segments include excerpts in the range of 8-12 seconds and 5 minutes from longer original conversations. The interview material includes short conversation interview segments of approximately 3 minutes from a longer interview session. As in prior evaluations, intervals of silence were not removed. Also, two separate conversation channels are provided (to aid systems in echo cancellation, dialog analysis, etc.). There are approximately six files distributed as part of SRE08 where each file is a 1024 byte header with no audio. However, these files were not included in the trials or keys distributed in the SRE08 aggregate corpus. English language transcripts in .cfm 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. Portions © 2007, 2011 Trustees of the University of Pennsylvania

引言
2008年NIST说话人识别评测训练集第一部分由语言数据联盟（Linguistic Data Consortium, LDC）与美国国家标准与技术研究院（National Institute of Standards and Technology, NIST）开发。该数据集包含640小时多语种电话语音与英语访谈语音，附带时间对齐的转录文本及其他相关材料，作为2008年NIST说话人识别评测（Speaker Recognition Evaluation, SRE）的训练数据使用。

SRE是NIST持续开展的系列评测项目之一，此类评测对研究方向的指引与技术能力的校准具有重要价值，旨在吸引所有从事与文本无关的说话人识别通用问题研究的学者关注。本次评测设计力求简洁，聚焦核心技术议题，提供全面支持且便于所有有意参与的研究者获取，这也是其与此前评测（尤其是2005年与2006年的评测）的区别所在——本次评测不仅包含会话电话语音数据，还加入了同等时长的麦克风信道录制的访谈场景会话语音数据。

数据
本次发布的语音数据由LDC于2007年在其位于费城的人类受试者数据采集实验室，以及加州大学伯克利分校的国际计算机科学研究所（International Computer Science Institute, ICSI）采集完成。该采集工作隶属于Mixer 5项目，此项目旨在通过从大量受试者群体中精心采集并审核语音数据（涵盖多麦克风同步录制、多种交流场景及多语种语音），为鲁棒性说话人识别技术的研发提供支撑。Mixer项目的参与者均为母语英语使用者与英语双语使用者。

本语料库中的电话语音以英语为主，同时包含前述提及的多语种语音；所有访谈片段均为英语。电话语音约占总数据时长的565小时，麦克风语音则占剩余75小时。电话语音片段包含来自更长原始会话的8-12秒与5分钟节选；访谈材料则包含来自更长访谈会话的约3分钟短对话访谈片段。与此前评测一致，本数据集未移除静音片段。此外，本次发布还提供两路独立的会话信道，以辅助回声抵消、对话分析等相关系统的研发。

本次SRE08相关发布中约包含6个无音频内容的1024字节头部文件，但此类文件未被纳入SRE08聚合语料库所分发的评测任务集与密钥集当中。本次发布采用自动语音识别（Automatic Speech Recognition, ASR）系统生成了格式为.cfm的英语转录文本。

示例
若需查看本语料库包含数据的示例，请查阅该音频样本。

部分内容 © 2007、2011 宾夕法尼亚大学理事会

搜集汇总

背景与挑战

背景概述

该数据集是2008年NIST说话人识别评估的训练集第一部分，包含640小时的多语言电话语音和英语访谈语音，用于说话人识别技术的研究和评估。数据来源多样，涵盖多种语言和场景，其中电话语音约565小时，访谈语音约75小时，并提供时间对齐的转录和双通道对话数据，以支持回声消除和对话分析等应用。