Add to ORKGΠεριέχει το πλήρες κείμενοA system for Music Identification is presented which makes use of two different feature descriptors, namely Chroma and Rhythm Histogram features. A simple approach to feature combination is proposed and evaluated against a test collection. Finally directions for future work are proposed, focusing on performance optimization towards a scalable system
Part 3: Data Analysis and Information RetrievalInternational audienceCover song identification has b...
It is common practice to map the frequency content of music onto a chroma representation, but there ...
We present a new technique for audio signal comparison based on tonal subsequence alignment and its ...
Large music collections, ranging from thousands to millions of tracks, are unsuited to manual search...
Discusses work with cover songs by the Laboratory for Recognition and Organization of Speech and Aud...
Beat-synchronous chroma features capture melodic-harmonic content of music audio, and successfully d...
In addition to conventional cepstra, we model the covariance of chroma (melodic/harmonic) features a...
Music audio classification has most often been addressed by modeling the statistics of broad spectra...
Describes the problem of cover songs, how to calculate chroma features and track beats with dynamic ...
We present a distance measure between audio files designed to identify cover songs, which are new re...
A methodology is described for the automatic identification of classical music works. It can be cons...
A musical style or genre implies a set of common conventions and patterns combined and deployed in d...
It is common practice to map the frequency content of music onto a chroma representation, but there ...
In this paper, we evaluate a set of methods for combining features for cover song identification. We...
Abstract. In this paper some specific issues related to Music Information Retrieval (MIR) are presen...
Part 3: Data Analysis and Information RetrievalInternational audienceCover song identification has b...
It is common practice to map the frequency content of music onto a chroma representation, but there ...
We present a new technique for audio signal comparison based on tonal subsequence alignment and its ...
Large music collections, ranging from thousands to millions of tracks, are unsuited to manual search...
Discusses work with cover songs by the Laboratory for Recognition and Organization of Speech and Aud...
Beat-synchronous chroma features capture melodic-harmonic content of music audio, and successfully d...
In addition to conventional cepstra, we model the covariance of chroma (melodic/harmonic) features a...
Music audio classification has most often been addressed by modeling the statistics of broad spectra...
Describes the problem of cover songs, how to calculate chroma features and track beats with dynamic ...
We present a distance measure between audio files designed to identify cover songs, which are new re...
A methodology is described for the automatic identification of classical music works. It can be cons...
A musical style or genre implies a set of common conventions and patterns combined and deployed in d...
It is common practice to map the frequency content of music onto a chroma representation, but there ...
In this paper, we evaluate a set of methods for combining features for cover song identification. We...
Abstract. In this paper some specific issues related to Music Information Retrieval (MIR) are presen...
Part 3: Data Analysis and Information RetrievalInternational audienceCover song identification has b...
It is common practice to map the frequency content of music onto a chroma representation, but there ...
We present a new technique for audio signal comparison based on tonal subsequence alignment and its ...