This upload includes the ESSENTIA analysis output of (a subset of) song snippets from the Million Song Dataset, namely those included in the Taste Profile subset. The audio snippets were collected from 7digital.com and were subsequently analyzed with ESSENTIA 2.1-beta3. Pre-trained SVM models provided by the ESSENTIA authors on their website were applied. The file msd_song_jsons.rar contains the ESSENTIA analysis output after applying the SVM models for highlevel feature extraction. Please note that these are 204317 files. The file msd_played_songs_essentia.csv.gz contains all one-dimensional real-valued fields of the jsons merged into one csv file with 204317 rows. The full procedure and subsequent analysis is described in Fricke, K. R...
In the work described in both the paper Measuring disruption in song similarity networks and the doc...
In the work described in the paper Measuring disruption in song similarity networks, Falcão et al. d...
In our daily lives, we are constantly surrounded by music, and we are deeply influenced by music. Ma...
We present Essentia API, a web API to access a collection of state-of-the-art music audio analysis a...
Hit Song Prediction Dataset This dataset is based on the Million Song Dataset (MSD), which contains...
The Song Interpretation Dataset combines data from two sources: (1) music and metadata from the Musi...
abstract: Advances in computational processing have made big data analysis in fields like music info...
Part 10: MiscellanousInternational audienceIn this article we present the approach in which the dete...
Music emotion recognition (MER) field rapidly expanded in the last decade. Many new methods and new ...
Large collections of music audio are now common and present an interesting research opportunity: wha...
Music emotion recognition (MER) field rapidly expanded in the last decade. Many new methods and new ...
Surveys the work of the Laboratory for Recognition and Organization of Speech and Audio, Department ...
The Synth-salience Choral Set (SSCS) is a publicly available dataset for voice assignment based on p...
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Man...
• A lot of music data available e.g. 60G of MP3 ≈ 1000 hr of audio, 15k tracks • Management challeng...
In the work described in both the paper Measuring disruption in song similarity networks and the doc...
In the work described in the paper Measuring disruption in song similarity networks, Falcão et al. d...
In our daily lives, we are constantly surrounded by music, and we are deeply influenced by music. Ma...
We present Essentia API, a web API to access a collection of state-of-the-art music audio analysis a...
Hit Song Prediction Dataset This dataset is based on the Million Song Dataset (MSD), which contains...
The Song Interpretation Dataset combines data from two sources: (1) music and metadata from the Musi...
abstract: Advances in computational processing have made big data analysis in fields like music info...
Part 10: MiscellanousInternational audienceIn this article we present the approach in which the dete...
Music emotion recognition (MER) field rapidly expanded in the last decade. Many new methods and new ...
Large collections of music audio are now common and present an interesting research opportunity: wha...
Music emotion recognition (MER) field rapidly expanded in the last decade. Many new methods and new ...
Surveys the work of the Laboratory for Recognition and Organization of Speech and Audio, Department ...
The Synth-salience Choral Set (SSCS) is a publicly available dataset for voice assignment based on p...
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Man...
• A lot of music data available e.g. 60G of MP3 ≈ 1000 hr of audio, 15k tracks • Management challeng...
In the work described in both the paper Measuring disruption in song similarity networks and the doc...
In the work described in the paper Measuring disruption in song similarity networks, Falcão et al. d...
In our daily lives, we are constantly surrounded by music, and we are deeply influenced by music. Ma...