Phenicx-Anechoic: Note Annotations For Aalto Anechoic Orchestral Database

This dataset includes audio and annotations useful for tasks as score-informed source separation, score following, multi-pitch estimation, transcription or instrument detection, in the context of symphonic music. This dataset was presented and used in the evaluation of: M. Miron, J. Carabias-Orti, J. J. Bosch, E. Gómez and J. Janer, "Score-informed source separation for multi-channel orchestral recordings", Journal of Electrical and Computer Engineering (2016))" On this web page we do not provide the original audio files, which can be found at the web page hosted by Aalto University. However, with their permission we distribute the denoised versions for some of the anechoic orchestral recordings: Pätynen, J., Pulkki, V., and Lokki, T., "Anechoic recording system for symphony orchestra," Acta Acustica united with Acustica, vol. 94, nr. 6, pp. 856-865, November/December 2008. For the intellectual rights and the distribution policy of the audio recordings in this dataset contact Aalto University, Jukka Pätynen and Tapio Lokki. For more information about the original anechoic recordings we refer to the web page and the associated publication [2] We provide the associated musical note onset and offset annotations, and the Roomsim[3] configuration files used to generate the multi-microphone recordings [1]. The anechoic dataset in [2] consists of four passages of symphonic music from the Classical and Romantic periods. This work presented a set of anechoic recordings for each of the instruments, which were then synchronized between them so that they could later be combined to a mix of the orchestra. In order to keep the evaluation setup consistent between the four pieces, we selected the following instruments: violin, viola, cello, double bass, oboe, flute, clarinet, horn, trumpet and bassoon. We created a ground truth score, by hand annotating the notes played by the instruments. The annotation process involved gathering the original scores in MIDI format, performing an initial automatic audio-to-score alignment, then manually aligning each instrument track separately with the guidance of a monophonic pitch estimation. During the recording process detailed in [2], the gain of the microphone amplifiers was fixed to the same value for the whole process, which reduced the dynamic range of the recordings of the quieter instruments. This lead to problems with which we had to deal, in order to reduce the noise. In the paper we described the score-informed denoising procedure we applied to each track. A complete description of the dataset and the creation methodology, including the generation of the multi-microphone recordings, is presented in [1]. Please Acknowledge PHENICX-Anechoic in Academic Research <strong>Using this dataset</strong> When the present dataset is used for academic research, we would highly appreciate if scientific publications of works partly based on the PHENICX-Anechoic dataset quote the publications above. We are interested in knowing if you find our datasets useful! If you use our dataset please email us at [e-mail] and tell us about your research. https://www.upf.edu/web/mtg/phenicx-anechoic本数据集包含适用于交响音乐场景下乐谱引导源分离（score-informed source separation）、乐谱跟随（score following）、多基频估计（multi-pitch estimation）、音符转录（transcription）或乐器识别（instrument detection）等任务的音频与标注数据。 本数据集曾被用于以下研究的评估工作： M. Miron、J. Carabias-Orti、J. J. Bosch、E. Gómez 与 J. Janer，《面向多声道管弦乐录音的乐谱引导源分离》，《电气与计算机工程期刊》（Journal of Electrical and Computer Engineering），2016年 本网页未提供原始音频文件，原始音频可在阿尔托大学（Aalto University）托管的相关网页获取。不过经其授权，我们可分发部分无回声管弦乐录音的降噪版本： Pätynen, J.、Pulkki, V. 与 Lokki, T.，《交响乐团无回声录音系统》，《声学学报与声学联合期刊》（Acta Acustica united with Acustica），第94卷第6期，第856-865页，2008年11/12月 关于本数据集内音频录音的知识产权与分发政策，请联系阿尔托大学的Jukka Pätynen与Tapio Lokki。如需了解原始无回声录音的更多信息，请参阅文献[2]及其关联网页。 我们提供配套的音符起奏与释奏标注，以及用于生成多麦克风录音的Roomsim[3]配置文件[1]。 文献[2]中的无回声数据集包含来自古典主义与浪漫主义时期的四段交响音乐片段。该工作为每种乐器提供了一套无回声录音，随后将各录音进行同步，以便后续合成为管弦乐混音作品。为保证四部作品的评估设置保持一致，我们选取了以下乐器：小提琴、中提琴、大提琴、低音提琴、双簧管、长笛、单簧管、圆号、小号与大管。 我们通过手动标注乐器演奏的音符来构建真值乐谱。标注流程包括：收集MIDI格式的原始乐谱，执行初始的自动音谱对齐（audio-to-score alignment），随后在单声部基频估计（monophonic pitch estimation）的辅助下，分别手动对齐每一条乐器音轨。 在文献[2]详述的录音过程中，麦克风放大器的增益在全程固定为同一数值，这导致音量较低的乐器录音的动态范围被压缩，进而引入了需要我们处理的噪声问题。在相关论文中，我们描述了应用于每条音轨的乐谱引导降噪流程。 关于本数据集及其构建方法（包括多麦克风录音的生成过程）的完整说明，请参阅文献[1]。 ## 学术研究引用要求 请在学术研究中注明PHENICX-Anechoic数据集 使用本数据集 若将本数据集用于学术研究，若基于PHENICX-Anechoic数据集开展相关研究并发表学术成果，我们恳请引用上述文献。 我们十分期待了解您是否认为本数据集具有实用价值！若您使用了本数据集，请通过[e-mail]邮箱联系我们，告知您的研究工作。 https://www.upf.edu/web/mtg/phenicx-anechoic