Album and Artist Effects for Audio Similarity at the Scale of Theweb

Effects of Album and Artist Filters in Audio Similarity Computed for Very Large Music Databases

Multi-modal Analysis of Music: A large-scale Evaluation

Multimedia data by definition comprises several different types of content modalities. Music specifically inherits e.g. audio at its core, text in the form of lyrics, images by means of album covers, or video in the form of music videos. Yet, in many Music Information Retrieval applications, only the audio content is utilised. Recent studies have shown the usefulness of incorporating other moda...

Music Classification and Identification System

We have implemented a system to recognize and classify music. Given an audio sample; our system is able to determine the genre, artist, album, and title of the given song. This is done by creating a database of models based on songs it’s trained on. Input songs’ features and models are compared with existing models to determine the identity of the song, along with its genre, artist, and album. ...

Towards Quantifying the "Album Effect" in Artist Identification

Recent systems for automatically identifying the performing artist from the acoustic signal of music have demonstrated reasonably high accuracy when discriminating between hundreds of known artists. A well-documented issue, however, is that the performance of these systems degrades when music from different albums is used for training and evaluation. Conversely, accuracy improves when systems a...

Do You sound like your Friends? Exploring Artist Similarity via Artist Social Network Relationships and audio signal Processing

A sample of the Myspace artist network is examined to investigate the relationship between social connectivity and audio-based similarity. Audio data from the Myspace artist pages is analyzed using well-established signal-based music information retrieval techniques. In addition to showing that the Myspace artist network exhibits many of the properties common to social networks, we show there i...