Multi-Scale Chroma <i>n</i>-Gram Indexing for Cover Song Identification

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Combining Chroma Features For Cover Version Identification

We present an approach for cover version identification which is based on combining different discretized features derived from the chromagram vectors extracted from the audio data. For measuring similarity between features, we use a parameter-free quasi-universal similarity metric which utilizes data compression. Evaluation proves that combined feature distances increase the accuracy in cover ...

متن کامل

A Chroma-based Tempo-insensitive Distance Measure for Cover Song Identification

In the context of music, a cover version is a remake of a song, often with significant stylistic variation. In this paper we describe a distance measure between sampled audio files that is designed to be insensitive to instrumentation, time shift, temporal scaling and transpositions. The algorithm was submitted to the Music Information Retrieval eXchange (MIREX) 2007 audio cover song identifica...

متن کامل

Large-Scale Cover Song Identification Using Chord Profiles

This paper focuses on cover song identification among datasets potentially containing millions of songs. A compact representation of music contents plays an important role in large-scale analysis and retrieval. The proposed approach is based on high-level summarization of musical songs using chord profiles. Search is performed in two steps. In the first step, the Locality Sensitive Hashing (LHS...

متن کامل

Combining Features for Cover Song Identification

In this paper, we evaluate a set of methods for combining features for cover song identification. We first create multiple classifiers based on global tempo, duration, loudness, beats and chroma average features, training a random forest for each feature. Subsequently, we evaluate standard combination rules for merging these single classifiers into a composite classifier based on global feature...

متن کامل

Cover Song Identification Based on Data Compression

We present a system for cover song identification. Our approach combines chord sequence estimation with a similarity metric called normalized compression distance.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEICE Transactions on Information and Systems

سال: 2020

ISSN: 0916-8532,1745-1361

DOI: 10.1587/transinf.2019mul0001