Automatic arrangement for the bass guitar in popular music using principle component analysis
نویسندگان
چکیده
منابع مشابه
Automatic String Detection for Bass Guitar and Electric Guitar
In this paper, we present a feature-based approach to automatically estimate the string number in recordings of the bass guitar and the electric guitar. We perform different experiments to evaluate the classification performance on isolated note recordings. First, we analyze how factors such as the instrument, the playing style, and the pick-up settings affect the performance of the classificat...
متن کاملAutomatic Phrase Continuation from Guitar and Bass Guitar Melodies
A framework is proposed for generating interesting, and musically similar variations of a givenmonophonic melody. The focus is on rock/pop guitar and bass-guitar melodies with the aim of eventual extensions to other instruments and musical styles. It is demonstrated here how learning musical style from segmented audio data can be formulated as an unsupervised learning problem to generate a symb...
متن کاملAutomatic transcription of bass guitar tracks applied for music genre classification and sound synthesis
Music recordings most often consist of multiple instrument signals, which overlap in time and frequency. In the field of Music Information Retrieval (MIR), existing algorithms for the automatic transcription and analysis of music recordings aim to extract semantic information from mixed audio signals. In the last years, it was frequently observed that the algorithm performance is limited due to...
متن کاملPopular Music Retrieval by Independent Component Analysis
2. OUR APPROACH In published literature, usually, acoustic input singing or humming is pitch-tracked and segmented into notes or converted into three or five level melody contour, melody contour is also extracted from music in database, our approach (Figure 1) does not try to segment notes at all, we employ statistic model to extract singing from popular music, user’s input singing and extracte...
متن کاملSong2Guitar: A Difficulty-Aware Arrangement System for Generating Guitar Solo Covers from Polyphonic Audio of Popular Music
This paper describes Song2Guitar which automatically generates difficulty-aware guitar solo cover of popular music from its acoustic signals. Previous research has utilized hidden Markov models (HMMs) to generate playable guitar piece from music scores. Our Song2Guitar extends the framework by leveraging MIR technologies so that it can handle beats, chords and melodies extracted from polyphonic...
متن کاملذخیره 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: Acoustical Science and Technology
سال: 2012
ISSN: 1346-3969,1347-5177
DOI: 10.1250/ast.33.229