نتایج جستجو برای: chord

تعداد نتایج: 3390  

2008
Matthias Mauch Simon Dixon

Chord labels for recorded audio are in high demand both as an end product used by musicologists and hobby musicians and as an input feature for music similarity applications. Many past algorithms for chord labelling are based on chromagrams, but distribution of energy in chroma frames is not well understood. Furthermore, non-chord notes complicate chord estimation. We present a new approach whi...

2013
Alaa Arabiyat Mohammad F. Ababneh Luc Onana Alima Ali Ghodsi Miguel Castro Peter Druschel Anne-Marie Kermarrec Antony Rowstron H. Balakrishnan F. Kaashoek D. Karger R. Morris I. Stoica Eng Keong Lua Jon Crowcroft Feng Hong Minglu Li Min-you Wu Jiadi Yu Keith Needels Minseok Kwon Jian-Ming Chang Yi-Hsuan Lin Isaac Woungang Han-Chieh Chao Li CHEN Zilin SONG Shiming ZHENG Wenjie SUN Zhanfeng WANG

Chord is a structured peer-to-peer (P2P) overlay network in which participating peers share resources as equals. To find a specific data item within the network, Chord system provide a lookup mechanism that matches a given key to a network node responsible for the value associated with that key. Chord is recently proposed to become one of the new approaches for building large-scale Internet app...

2012
W. Bas de Haas José Pedro Magalhães Frans Wiering

We present a new system for chord transcription from polyphonic musical audio that uses domain-specific knowledge about tonal harmony and metrical position to improve chord transcription performance. Low-level pulse and spectral features are extracted from an audio source using the Vamp plugin architecture. Subsequently, for each beat-synchronised chromagram we compute a list of chord candidate...

2009
Matthias Mauch Katy Noland Simon Dixon

This paper describes our approach to chord extraction from audio, a variant of which was submitted to the 2009 MIREX Chord Detection Task (No Training), and achieved the top ranking of 71.2%. The structural segmentation algorithm is a pre-processing step for the chord extraction, and was also submitted separately for the Structural Segmentation Task. It also achieved the top ranking in that cat...

2009
Laurent Oudre Yves Grenier Cédric Févotte

This paper describes a fast and efficient template-based chord recognition method. We introduce three chord models taking into account one or more harmonics for the notes of the chord. The use of pre-determined chord models enables to consider several types of chords (major, minor, dominant seventh, minor seventh, augmented, diminished...). After extracting a chromagram from the signal, the det...

Journal: :The Quarterly journal of experimental psychology. A, Human experimental psychology 2005
E Bigand B Tillmann B Poulin-Charronnat D Manderlier

Using short and long contexts, the present study investigated musical priming effects that are based on chord repetition and harmonic relatedness. A musical target (a chord) was preceded by either an identical prime or a different but harmonically related prime. In contrast to words, pictures, and environmental sounds, chord processing was not facilitated by repetition. Experiments 1 and 2 usin...

Journal: :مهندسی برق و الکترونیک ایران 0
javad taheri mohammad kazem akbari

among structured peer-to-peer systems, chord has a general popularity due to its salient features like simplicity, high scalability, small path length with respect to network size, and flexibility on node join and departure. however, chord doesn’t take into account the topology of underlying physical network when a new node is being added to the system, thus resulting in high routing latency an...

2011
Kazuyoshi Yoshii Matthias Mauch Masataka Goto

This paper presents a unified simultaneous and sequential model for note combinations and chord progressions. In chord progression analysis, n-gram models have often been used for modeling temporal sequences of chord labels (e.g., C major, D minor, and E# seventh). These models require us to specify the value of n and define a limited vocabulary of chord labels. On the other hand, our model is ...

2017
Jun-qi Deng Yu-Kwong Kwok

This paper presents a large vocabulary automatic chord estimation system implemented using a bidirectional long short-term memory recurrent neural network trained with a skewed-class-aware scheme. This scheme gives the uncommon chord types much more exposure during the training process. The evaluation results indicate that: compared with a normal training scheme, the proposed scheme can boost t...

2012
Nikolay Glazyrin

In this paper we describe a method of audio chord estimation than does not rely on any machine learning technique. We calculate a beat-synchronized spectrogram with high time and frequency resolution. The sequence of chroma vectors (CRP features based on constant-Q transform) obtained from spectrogram is smoothed using self-similarity matrix before the actual chord recognition. Binary chord tem...

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