# A Comprehensive Review on Music Transcription
## 8 Music Transcription Datasets  
Music transcription datasets play a crucial role in transcription research. So, in this section, we will provide a comprehensive overview of these datasets. The datasets we will describe encompass various aspects, including vocal melodies, general melodies, polyphonic vocals, multi-pitch estimation, single-instrumentation, and multi-instrumentation. A detailed description of these datasets is shown in Table 1 below.  
\begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline
**Dataset Name** & **Propose** & **Description** \\ \hline MIR-1K [117] & Vocal Melody & The MIR-1K dataset offers a diverse collection of music excerpts spanning various genres, with detailed annotations of pitch contours in semitones, indices, and types of unvoiced frames, lyrics, and vocal/non-vocal segments, making it an ideal resource for vocal transcription research. It contains 1000 song clips in which the musical accompaniment and singing voice are recorded at the left and right channels. \\ \hline VOCADITO [54] & Vocal Melody & VOCADITO offers four different types of annotation: frame-level f0, notes, lyrics, and track-level meta-data. It consists of 40 short segments of monophonic singing in seven different languages. First, the frame-level and note-level annotations were constructed using the Tony [13] algorithm. It also allows the user to manually correct mistakes made by the algorithm. \\ \hline Medley-DB [118] & Vocal/General Melody/Multi-instrument & Medley-DB, originally designed for multi-instrumental analysis, also includes isolated vocal stems that enable researchers to isolate and transcribe vocal melodies accurately. It can not only be used for a multi-instrumental context but also allows users to transcribe general melodies. There are two versions of the MedleyDB dataset. The first version of MedleyDB consists of 122 multitracks of mix, processed stems, raw audio, and metadata, while the second version of MedleyDB 2.0 consists of 74 new tracks, making a total of 196 multitracks. \\ \hline MIREX05 ([[https://nema.lis](https://nema.lis)]([https://nema.lis](https://nema.lis)). illinois. edu/nema_out/mirex2 013/results/ame/mrx05/, accessed on 5 October 2023) & Vocal Melody & The MIREX05 dataset, utilized in the Music Information Retrieval Evaluation eXchange, features pop songs with annotations for vocals, providing a valuable platform for vocal melody extraction. There are a total of 13 wav files along with their corresponding pitch in the MIREX05 dataset. \\ \hline ADC2004 & Vocal Melody & The ADC2004 dataset, from the Audio Description Contest 2004, offers audio tracks with descriptions of different musical aspects, including vocals, facilitating research into vocal transcription techniques. There are a total of 21 wav files along with their corresponding pitch annotation. \\ \hline Bach10 [119] & Polyphonic vocal/ multi-pitch estimation & The Bach10 dataset features a collection of compositions by [PERSON], encompassing both vocal and instrumental melodies. The dataset comprises audio recordings for each individual part and the complete ensemble of ten four-part chorales composed by [PERSON]. Additionally, it includes MIDI scores, precise alignment data between the audio and scores, as well as accurate pitch values for each part and note information for each composition. The audio recording of the Soprano, Alto, Tenor, and Bass of each piece is performed by a violin, clarinet, saxophone, and bassoon, respectively. \\ \hline \end{tabular}
\end{table}
Table 1: The description of currently available music transcription datasets.