Articulation Index

Introduction Articulation Index was developed by the Linguistic Data Consortium (LDC) and was partly inspired by the work of Harvey Fletcher, who performed a number of perceptual experiments involving English syllables during the first half of the 20th century. His term articulation index meant something like perceptual index of syllables, where those syllables were not necessarily words, and reflected how well speakers could correctly identify syllables in the presence of noise. This corpus was created to facilitate similar experiments, as well as to potentially facilitate new methods in speech recognition research. The basic concept behind the corpus was to record speakers pronouncing syllables of English, some of which might be real words, but most of which are nonsense syllables. The goal was to have each speaker say a set of 2,000 syllables common to all speakers, as well as a set of 20 syllables unique to that speaker. LDC has also released Articulation Index LSCP (LDC2015S12) Data This release contains recordings of 20 American English speakers (12 males, 8 females) saying 2005 common syllables, 1845 of which are common to all speakers, and 400 unique syllables (20 syllables/ speaker). The recordings were made in small, sound-treated anechoic room at LDC. The speakers wore two microphones: a Sennheiser 410 headset and a Nortel Liberator wireless phone headset. The Sennheiser's signal traveled through a Symetrix 302 Dual Microphone Preamp, Sony PCM-R300 DAT deck and Townshend Datlink to a Sun Sparcserver 20 where it was written to disk at 16 KHz, 16-bit, pcm data. The Nortel's signal was transmitted to a wireless base station at a telephone connected via the network to LDC's telephone recording platform where it was caputred to disk as 8 KHz, 8-bit, u-law data. The speakers were prompted via a computer interface that displayed one prompt at a time, allowing them to iterate through the prompts by pressing a "next" button. Each recording session lasted approximately 15 minutes. Samples For an example of this corpus, please review this audio sample. © 2005 Trustees of the University of Pennsylvania

## 引言
清晰度指数（Articulation Index）由语言数据联盟（LDC）开发，其研发部分灵感源自哈维·弗莱彻的研究工作。弗莱彻于20世纪上半叶开展了多项涉及英语音节的感知实验，其提出的“清晰度指数”大致意为“音节感知指数”——此处的音节未必为完整单词，该指数反映的是说话者在噪声环境下正确识别音节的能力。
本语料库的构建旨在助力同类实验，同时有望为语音识别研究中的新方法开发提供支撑。该语料库的核心设计思路为录制说话者朗读英语音节的音频：其中部分音节可为真实单词，但绝大多数为无意义音节。其设计目标为，每位说话者需朗读两组音节：一组为所有说话者共享的2000个通用音节，另一组为该说话者独有的20个专属音节。
语言数据联盟还发布了清晰度指数LSCP（LDC2015S12）数据集。本次发布包含20位美式英语母语者（12名男性、8名女性）的朗读录音：共录制2005个通用音节，其中1845个为所有说话者共享，另有400个专属音节（每位说话者对应20个专属音节）。
录音均在语言数据联盟的小型隔音消声室内完成。每位说话者佩戴两支麦克风：分别为森海塞尔（Sennheiser）410头戴式麦克风，以及北电（Nortel）Liberator无线电话头戴耳机。森海塞尔麦克风的信号依次经过Symetrix 302双麦克风前置放大器、索尼（Sony）PCM-R300 DAT录音机以及Townshend Datlink设备，最终传输至Sun Sparcserver 20服务器，以16 kHz、16位脉冲编码调制（PCM）数据格式写入磁盘。北电麦克风的信号被传输至电话端的无线基站，该基站通过网络连接至语言数据联盟的电话录音平台，最终以8 kHz、8位μ律（u-law）数据格式写入磁盘。
说话者通过计算机界面获取朗读提示：界面每次仅显示一条提示，说话者可通过按下"next"按钮依次浏览所有提示项。单次录音时长约为15分钟。
## 样本
若需查看本语料库的示例，请参阅该音频样本。
© 2005 宾夕法尼亚大学托管委员会

搜集汇总

背景与挑战

背景概述

Articulation Index数据集由Linguistic Data Consortium (LDC)创建，包含20名美国英语说话者（12名男性，8名女性）的录音，发音了2005个常见音节（其中1845个通用）和400个独特音节。录音在隔音室进行，使用两种麦克风设备，旨在支持语音感知实验和语音识别研究。