Effect of Background Music Arrangement and Tempo on Foreground Speech Intelligibility: Listening experiment settings (SNRs, GP, HEGP) spreadsheets.

Excel spreadsheeting containing data collected and collated from objective and subjective testing of whether or not background music arrangement (timbre and instrumentation density) and tempo have any significant effect on foreground speech intelligibility. The values of the objective data - speech-to-noise ratios (dB SNR), glimpse proportions (GP), and high energy glimpse proportions (HEGP) - were generated and collected in a Matlab script that incorporated Tang & Cooke's (2016) HEGP OIM (high energy glimpse proportion objective intelligibility metric) together with an interative 'for' loop. The subjective data were collected in a standard speech-in-noise test (SINT), in which participants listened via headphones to speech played simultaneously with either background music or a control masking noise, and were tasked with identifying the final word of each spoken sentence (target word). The listening experiment used the RSPIN speech corpus. Background music stimuli were generated by the researcher using Apple Loops in Garage Band. 'Read Me' page provides: a brief overview of the listening experiment; citation and link for Tang and Cooke's (2016) HEGP OIM; key to explain the shorthand of the independent variables and file names, and an overview of the other spreadsheets. 'Various_GP' is an overview of equivalent speech-to-noise ratios (dB SNR) determined for three different glimpse proportion (GP) values using the speech and music masker / masking noise pairs in the Matlab script. These objective values were generated to determine which target glimpse proportion to set all the masking noise files to for the subjective listening experiment. 'GP10_SNRs' shows two tables: one with the GP values that each masking noise file was set to and the corresponding SNRs; the other table shows this information summarised across 300 speech-noise audio file pairs. 'Results' shows the raw subjective listening experiment data collected, collated, and sorted by participant ID number, RSPIN list and RSPIN sentence number. This table has pulled in the relevant speech-to-noise ratio, glimpse proportion, and high energy glimpse proportion value from the previous page. 'Summaries' shows tables of the data collated in different ways for the purpose of generating box and whisker plots and conducting statistical analyses. Each table is a summary by participant ID (rows) and the speech-background music / masking noise combination of independent variables: total number of trials; summed correct word scores; mean correct word recognition percentages; mean speech-to-noise ratios (dB SNR); mean glimpse proportions (GP), and mean high energy glimpse proportions (HEGP) ------------------------------------------------------------------- For further details, see PhD thesis by P. Demonte (2022), or contact: email (1): [e-mail] email (2): [e-mail] See also the Excel spreadsheet with the listening experiment data and statistical analyses: https://doi.org/10.17866/rd.salford.19745815 'Effect of Background Music Arrangement and Tempo on Foreground Speech Intelligibiltiy: Listening experiment data'.

本Excel数据集收录了针对背景音乐编排（音色与配器密度）及速度是否对前景语音清晰度存在显著影响所开展的客观与主观测试的整理后数据。

客观数据指标包括语音信噪比（speech-to-noise ratio, dB SNR）、可见比例（Glimpse Proportion, GP）以及高能可见比例（High Energy Glimpse Proportion, HEGP），上述数据由搭载了Tang与Cooke（2016）提出的高能可见比例客观清晰度度量（High Energy Glimpse Proportion Objective Intelligibility Metric, HEGP OIM）的Matlab脚本结合迭代for循环生成并采集。

主观数据采自标准噪声下语音识别测试（Speech-in-Noise Test, SINT）：实验中受试者通过耳机聆听与背景音乐或对照掩蔽噪声同步播放的语音，任务为识别每句口语的末尾单词（目标词）。本次听知觉实验采用了RSPIN语音语料库（RSPIN speech corpus）。背景音乐刺激素材由研究者使用Garage Band内置的Apple Loops制作完成。

数据集的「说明文档」页面包含以下内容：听知觉实验的简要概述；Tang与Cooke（2016）提出的HEGP OIM的引用信息与链接；用于解释自变量与文件名简写的关键说明，以及其余工作表的概述。

1. **Various_GP**：该工作表概述了针对三种不同可见比例（GP）值，通过Matlab脚本中的语音与掩蔽音乐/噪声配对计算得到的等效语音信噪比（dB SNR）。生成此类客观值的目的是确定主观听知觉实验中所有掩蔽噪声文件应设置的目标可见比例。
2. **GP10_SNRs**：该工作表包含两张表格：其一为各掩蔽噪声文件所设置的GP值及其对应的语音信噪比；其二为300组语音-噪声音频文件配对的汇总信息。
3. **Results**：该工作表收录了按受试者ID、RSPIN列表及RSPIN语句编号整理、排序后的原始主观听知觉实验数据，并导入了前述工作表中的相关语音信噪比、可见比例及高能可见比例数值。
4. **Summaries**：该工作表包含以不同方式整理的数据表格，用于生成箱线图并开展统计分析。每张表格均按受试者ID（行）以及语音-背景音乐/掩蔽噪声组合的自变量进行汇总，统计指标包括：总试次数量、正确单词得分总和、单词识别平均正确率、平均语音信噪比（dB SNR）、平均可见比例（GP）以及平均高能可见比例（HEGP）。

如需进一步了解详情，请参阅P. Demonte于2022年发表的博士学位论文，或联系以下邮箱：
- 邮箱1：[e-mail]
- 邮箱2：[e-mail]

亦可访问包含听知觉实验数据与统计分析的Excel数据集：https://doi.org/10.17866/rd.salford.19745815，数据集标题为《背景音乐编排与速度对前景语音清晰度的影响：听知觉实验数据》。