Vibrato Analysis Dataset, Detection and Parameterization

vibrato_analysis Vibrato Analysis Dataset,Detection and Parameterization Introduction This dataset was created as an outcome of a summer internship with Good-sounds project. Sound recordings were used for vibrato analysis. The dataset contains monophonic recordings of single notes and melodies for four instruments with annotations of four different recording sets regarding some vibrato parameters. It is organized according to the owner of the recordings. Sounds with vibrato and no vibrato are presented within the folders with their annotations in cvs format. All annotations except than the alto saxophone recordings include derivative analysis of pitch parameters. One of the recordings for violin was made in the Universitat Pompeu Fabra recording studio by a violist from MTG. Single notes of two octaves and four different melodies starting from different pitch are recorded in wav format sampled at 44.1 kHz. Each sound separated by semitones is recorded four times for no vibrato,slow, standard and fast rates of vibrato. Melodies were played for no vibrato and vibrato at a standard rate to have the attenuation at the end of the note. One other recording set was taken from Good-sounds project. The only brass instrument within the whole dataset is this one for alto saxophone. It was again recorded in the Universitat Pompeu Fabra / Phonos recording studio. This dataset for alto saxophone not only contains vibrato and non vibrato sounds but also some different tonal characteristics. Three other recordings are downloaded from a user named Carlos_Vaquero in Freesound. Violin, violoncello and transverse flute recordings were downloaded and used for non commercial purposes under creative commons license. Within the Carlos_Vaquero folder, audio files are separated according to the type of instruments. Dataset Description The database is meant for organizing the sounds in a handy way. It is organized according to the creator. In each three datasets, annotations and analysis parameters are available within the csv files and each has 11 field descriptor. Carlos_Vaquero Transverse_flute Violin Violoncello Good-sounds-Alto sax Alto-sax MTG - Violin Violin Except than alto-sax recordings, each contains following parameters: Peak_Percentage: Percent wise proportion of peaks in first derivation of the pitch trajectory. Mean_Difference: Mean value of the differences of two consecutive peaks. Max_Difference: Maximum separation of side by side peaks. Index_Max (first one): Index value of the maximum peak in the derivative array. Location_Max (%): Location of the maximum peak in the array, percent wise. Start_End_Time (seconds): Starting and ending time instants of vibrato in the recording. Duration: Duration of the vibrato part of the recording. Documentation Related report can be found in the GitHub repository as "Vibrato Analysis Internship Report". License All the software is distributed with the Affero GPL v3 license.颤音分析（Vibrato Analysis）数据集：检测与参数化简介 本数据集系参与Good-sounds项目暑期实习的成果，以音频录音为对象开展颤音分析。数据集涵盖四种乐器的单音与旋律单声道录音，附带四组不同录音集的标注，标注内容包含若干颤音相关参数。数据集按照录音所有者进行组织。文件夹中分别收纳带颤音与无颤音的音频，其标注以CSV格式存储。除中音萨克斯录音外，所有标注均包含音高参数的导数分析。 其中一段小提琴录音由MTG的中提琴演奏者在庞培法布拉大学（Universitat Pompeu Fabra）录音棚录制。录音内容包含两个八度的单音以及四段从不同音高起始的旋律，采用WAV格式存储，采样率为44.1 kHz。每个半音间距的单音均录制四次，分别对应无颤音、慢颤音、标准颤音与快颤音四种速率。旋律则分别以无颤音与标准速率颤音演奏，以实现音符结尾的衰减效果。 另有一组录音集源自Good-sounds项目。本数据集内唯一的铜管乐器为中音萨克斯录音，同样录制于庞培法布拉大学/Phonos录音棚。该中音萨克斯数据集不仅包含带颤音与无颤音的音频，还涵盖多种不同的音色特征。 其余三组录音均从Freesound平台用户Carlos_Vaquero处下载。小提琴、大提琴与长笛的录音均以非商业用途为目的，在知识共享（Creative Commons）许可协议下使用。在Carlos_Vaquero文件夹中，音频文件按乐器类型进行分类。 数据集说明 本数据库旨在以便捷的方式组织音频资源，按照创作者进行分类。各组数据集中，标注与分析参数均存储于CSV文件中，每个文件均包含11个字段描述符。数据集分组如下：Carlos_Vaquero（含长笛、小提琴、大提琴录音）、Good-sounds-Alto sax（含中音萨克斯录音）、MTG - Violin（含小提琴录音）。 除中音萨克斯录音外，所有数据集均包含以下参数： 1. 峰值占比（Peak_Percentage）：音高轨迹一阶导数中峰值的百分比占比。 2. 平均差值（Mean_Difference）：相邻两个峰值差值的平均值。 3. 最大间距（Max_Difference）：相邻峰值间的最大间距。 4. 最大峰值索引（Index_Max，首个值）：导数数组中最大峰值的索引值。 5. 最大峰值位置占比（Location_Max (%)）：导数数组中最大峰值的位置，以百分比表示。 6. 颤音起止时刻（Start_End_Time (seconds)）：录音中颤音部分的起始与终止时刻。 7. 颤音时长（Duration）：录音中颤音部分的总时长。 文档说明 相关报告可在GitHub仓库中以《颤音分析实习报告》（Vibrato Analysis Internship Report）为名获取。 许可证 所有软件均采用Affero GPL v3许可证进行分发。