Good-Sounds Dataset
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<strong>General description:</strong> This dataset was created in the context of the Pablo project, partially funded by KORG Inc. It contains monophonic recordings of two kind of exercises: single notes and scales. The dataset was reported in the following article: <strong>Romaní Picas O., Parra Rodriguez H., Dabiri D., Tokuda H., Hariya W., Oishi K., & Serra X."A real-time system for measuring sound goodness in instrumental sounds", 138th Audio Engineering Society Convention (2015). </strong> The recordings were made in the Universitat Pompeu Fabra / Phonos recording studio by 15 different professional musicians, all of them holding a music degree and having some expertise in teaching. 12 different instruments were recorded using one or up to 4 different microphones (depending on the recording session). For all the instruments the whole set of playable semitones in the instrument is recorded several times with different tonal characteristics. Each note is recorded into a separate mono .flac audio file of 48kHz and 32 bits. The tonal characteristics are explained both in the the following section and the related publication. The audio files are organised in one directory for each recording session. In addition to the files, one SQLite database file is included. The structure of the database is related in the following section. <strong>Database description:</strong> The database is meant for organizing the sounds in a handy way. It is organised in four different tables: sounds, takes, packs and ratings. Sounds The table containing the sounds annotations. <strong>id</strong> <strong>instrument </strong>: flute, cello, clarinet, trumpet, violin, sax_alto, sax_tenor, sax_baritone, sax_soprano, oboe, piccolo, bass <strong>note</strong> <strong>octave</strong> <strong>dynamics </strong>: for some sounds, the musical notation of the loudness level (p, mf, f..) <strong>recorded_at </strong>: recording date and time <strong>location </strong>: recording place <strong>player </strong>: the musician who recorded it. For detailed information about the musicians please contact us. <strong>bow_velocity </strong>: for some string instruments the velocity of the bow (slow, medieum, fast) <strong>bridge_position </strong>: for some string instruments the position of the bow (tasto, middle, ponticello) <strong>string </strong>: for some string instruments the number of the string in which the sound it's played (1: lowest in pitch) <strong>csv_file </strong>: used for creation of the DB <strong>csv_id </strong>: used for creation of the DB <strong>pack_filename </strong>: used for creation of the DB <strong>pack_id </strong>: used for creation of the DB <strong>attack </strong>: for single notes, manual annotation of the onset in samples. <strong>decay </strong>: for single notes, manual annotation of the decay in samples. <strong>sustain </strong>: for single notes, manual annotation of the beginnig of the sustained part in samples. <strong>release </strong>: for single notes, manual annotation of the beginnig of the release part in samples. <strong>offset </strong>: for single notes, manual annotation of the offset in samples <strong>reference </strong>: 1 if sound was used to create the models in the good-sounds project, 0 if not. <strong>klass </strong>: user generated tags of the tonal qualities of the sound. They also contain information about the exercise, that could be single note or scale. "good-sound": good examples of single note "bad": bad example of one of the sound attributes defined in the project (please read the papers for a detailed explanation) "scale-good": good example of a one octave scale going up and down (15 notes). If the scale is minor a tagged "minor" is also available. "scale-bad": bad example scale of one of the sounds defined in the project. (15 notes up and down). <strong>comments </strong>: if any <strong>semitone </strong>: midi note <strong>pitch_reference </strong>: the reference pitch Takes A sound can have several takes as some of them were recorded using different microphones at the same time. Each take has an associated audio file. <strong>id</strong> <strong>microphone</strong> <strong>filename </strong>: the name of the associated audio file original_filename : <strong>freesound_id </strong>: for some sounds uploaded to freesound.org <strong>sound_id </strong>: the id of the sound in the DB <strong>goodsound_id </strong>: for some of the sounds available in good-sounds.org Packs A pack is a group of sounds from the same recording session. The audio files are organised in the *sound_files* directory in subfolders with the pack name to which they belong. <strong>id</strong> <strong>name</strong> <strong>description</strong> Ratings Some musicians rated some sounds in a 0-10 goodness scale for the user evaluatio of the first project prototype. Please read the paper for more detailed information. <strong>id</strong> <strong>mark</strong>: the rate or score. <strong>type</strong>: the klass of the sound. Related to the tags of the sound. <strong>created_at</strong> <strong>comments</strong> <strong>sound_id</strong> <strong>rater</strong>: the musician who rated the sound. <strong>License:</strong> This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
总体说明： 本数据集依托Pablo项目构建，该项目由KORG公司（KORG Inc.）部分资助。数据集包含两类练习的单声道录音：单音与音阶。本数据集已在以下文献中进行报道： Romaní Picas O.、Parra Rodriguez H.、Dabiri D.、Tokuda H.、Hariya W.、Oishi K.与Serra X.：《用于测量乐器声音品质的实时系统》，第138届音频工程师协会（Audio Engineering Society）大会（2015年）。 本次录音在庞培法布拉大学（Universitat Pompeu Fabra）/Phonos录音棚完成，由15位专业音乐人录制，他们均拥有音乐学位且具备一定教学经验。本次录制涵盖12种乐器，根据录音场次的不同，每类乐器会使用1至4支麦克风进行拾音。针对每一种乐器，我们会对其全部可演奏半音进行多次录制，且每次录制采用不同的音色特性。每个音符会被单独存储为一个单声道的FLAC（.flac）音频文件，采样率为48kHz，位深度为32比特。相关音色特性的说明将在后续章节以及本关联文献中展开。 音频文件按照每个录音场次分别存储在对应的目录下。除音频文件外，本数据集还包含一个SQLite数据库文件。数据库的结构将在后续章节中说明。 数据库说明： 本数据库旨在便捷地管理音频样本，共包含四张数据表：声音表（sounds）、录制片段表（takes）、数据包表（packs）与评分表（ratings）。 #### 声音表 存储声音的标注信息。 - **id**：数据记录唯一标识符 - **instrument**：乐器类型，可选值包括长笛、大提琴、单簧管、小号、小提琴、中音萨克斯（sax_alto）、次中音萨克斯（sax_tenor）、上低音萨克斯（sax_baritone）、高音萨克斯（sax_soprano）、双簧管（oboe）、短笛（piccolo）与低音提琴（bass） - **note**：音符名称 - **octave**：音组 - **dynamics**：力度等级，部分声音标注了响度的音乐记法（如p、mf、f等） - **recorded_at**：录音日期与时间 - **location**：录音地点 - **player**：录制该音频的音乐人信息，如需了解乐手的详细信息，请联系我们 - **bow_velocity**：弓速，仅部分弦乐器标注，可选值为慢、中、快 - **bridge_position**：琴桥位置，仅部分弦乐器标注，可选值为靠近指板（tasto）、琴身中部（middle）与靠近琴桥（ponticello） - **string**：弦号，仅部分弦乐器标注，1代表音高最低的琴弦 - **csv_file**：数据库创建时使用的CSV文件标识 - **csv_id**：数据库创建时使用的CSV记录ID - **pack_filename**：所属数据包的文件名 - **pack_id**：所属数据包的唯一标识符 - **attack**：起始时刻，仅单音样本标注，以采样点为单位的手动标注值 - **decay**：衰减时刻，仅单音样本标注，以采样点为单位的手动标注值 - **sustain**：持续段起始时刻，仅单音样本标注，以采样点为单位的手动标注值 - **release**：释音段起始时刻，仅单音样本标注，以采样点为单位的手动标注值 - **offset**：结束时刻，仅单音样本标注，以采样点为单位的手动标注值 - **reference**：参考标记，若该声音用于优质声音项目的模型构建则为1，否则为0 - **klass**：用户自定义的声音音色品质标签，同时包含练习类型信息，可分为单音练习与音阶练习： - "good-sound"：优质单音样本 - "bad"：存在某一项目定义的声音缺陷的劣质样本（详细说明请参阅相关文献） - "scale-good"：优质音阶样本（含15个音符的上下行八度音阶，若为小调音阶则额外标注"minor"标签） - "scale-bad"：存在某一项目定义的声音缺陷的劣质音阶样本（含15个音符的上下行八度音阶） - **comments**：补充说明（若有） - **semitone**：MIDI半音编号 - **pitch_reference**：基准音高 #### 录制片段表 一个声音可对应多个录制片段，因为部分录音会同时使用多支麦克风录制。每个录制片段对应一个音频文件。 - **id**：数据记录唯一标识符 - **microphone**：使用的麦克风标识 - **filename**：关联音频文件的文件名 - **original_filename**：原始文件名 - **freesound_id**：部分上传至freesound.org的声音的平台ID - **sound_id**：该片段所属声音在数据库中的唯一标识符 - **goodsound_id**：部分在good-sounds.org平台上架的声音的平台ID #### 数据包表 数据包指同一场录音场次下的所有声音集合。音频文件存储在`sound_files`目录下，按照所属数据包的名称创建子文件夹进行分类。 - **id**：数据记录唯一标识符 - **name**：数据包名称 - **description**：数据包说明 #### 评分表 部分音乐人会按照0-10分的品质评分标准对部分声音进行打分，用于首个项目原型的用户评估。详细说明请参阅相关文献。 - **id**：数据记录唯一标识符 - **mark**：评分得分 - **type**：声音的分类标签，与声音表中的klass标签相关联 - **created_at**：评分创建时间 - **comments**：评分补充说明（若有） - **sound_id**：被评分声音在数据库中的唯一标识符 - **rater**：打分的音乐人信息 授权协议： 本作品采用知识共享署名-非商业性使用4.0国际许可协议（Creative Commons Attribution-NonCommercial 4.0 International License）进行授权。如需查看该许可协议的副本，可访问http://creativecommons.org/licenses/by-nc/4.0/，或致函：Creative Commons, PO Box 1866, Mountain View, CA 94042, USA。
