Music Information Retrieval on Representative Mexican Folk Vocal Melodies Through MIDI Feature Extraction

• URL: http://arxiv.org/abs/2503.24243v1
• Date: Mon, 31 Mar 2025 15:57:28 GMT
• Title: Music Information Retrieval on Representative Mexican Folk Vocal Melodies Through MIDI Feature Extraction
• Abstract summary: The study employs the MIDI Toolbox for extracting musical features and performing statistical analysis.<n>The analysis of pitch-class entropy showcases a broad spectrum of melodic complexity, with Armando Manzanero's Somos Novios' displaying the highest entropy.<n>The interval distribution predominantly features prime intervals (P1), major and minor seconds (M2, m2)<n> Statistical analysis do not establish a significant correlation between the ambitus or entropy and the number of Spotify plays.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This study analyzes representative Mexican folk vocal melodies using MIDI feature extraction, examining ambitus, pitch-class entropy, and interval distribution. It also explores the relationship between these features and song popularity, as measured by Spotify plays. The study employs MATLAB and the MIDI Toolbox for extracting musical features and performing statistical analysis. The findings reveal a significant variation in ambitus, with values ranging from 8 to 27 semitones, indicating a diverse compositional style and vocal demand across the genre. The analysis of pitch-class entropy showcases a broad spectrum of melodic complexity, with Armando Manzanero's `Somos Novios' displaying the highest entropy, suggesting varied and complex melodic structures, while traditional pieces like `La Bamba' exhibit lower entropy, indicating simpler, more repetitive patterns. The interval distribution predominantly features prime intervals (P1), major and minor seconds (M2, m2), pointing to a compositional preference for close, contiguous intervals that contribute to the melodies' accessibility and appeal. Statistical analysis do not establish a significant correlation between the ambitus or entropy and the number of Spotify plays.

Related papers

• The MPB Corpus: A Dataset of Melody, Rhythm, Harmony, and Melody-Harmony Relationships in Brazilian Popular Music [0.0]
  The MPB Corpus is a collection of 500 musical pieces encoded across four musical parameters.<n>It constitutes the most comprehensive and detailed dataset to date for computational musicology of Brazilian music.
  arXiv  Detail & Related papers  (2026-08-14T00:17:10Z)
• Tempo as the Stable Cue: Hierarchical Mixture of Tempo and Beat Experts for Music to 3D Dance Generation [62.82943523102]
  Music to 3D dance generation aims to synthesize realistic and rhythmically synchronized human dance from music.<n>We propose TempoMoE, a hierarchical tempo-aware Mixture-of-Experts module.<n>We show that TempoMoE achieves state-of-the-art results in dance quality and rhythm alignment.
  arXiv  Detail & Related papers  (2025-12-21T16:57:08Z)
• Evaluating Interval-based Tokenization for Pitch Representation in Symbolic Music Analysis [0.10241134756773229]
  We introduce a general framework for building interval-based tokenizations.<n>We show that interval-based tokenizations improve model performances and facilitate their explainability.
  arXiv  Detail & Related papers  (2025-01-08T17:22:03Z)
• MelodyVis: Visual Analytics for Melodic Patterns in Sheet Music [7.712907363185298]
  MelodyVis is a visual application designed in collaboration with musicology experts to explore melodic patterns in digital sheet music. The system utilizes eight atomic operators, such as transposition and mirroring, to capture melody repetitions and variations.
  arXiv  Detail & Related papers  (2024-07-07T16:04:21Z)
• MeLFusion: Synthesizing Music from Image and Language Cues using Diffusion Models [57.47799823804519]
  We are inspired by how musicians compose music not just from a movie script, but also through visualizations. We propose MeLFusion, a model that can effectively use cues from a textual description and the corresponding image to synthesize music. Our exhaustive experimental evaluation suggests that adding visual information to the music synthesis pipeline significantly improves the quality of generated music.
  arXiv  Detail & Related papers  (2024-06-07T06:38:59Z)
• MuPT: A Generative Symbolic Music Pretrained Transformer [56.09299510129221]
  We explore the application of Large Language Models (LLMs) to the pre-training of music. To address the challenges associated with misaligned measures from different tracks during generation, we propose a Synchronized Multi-Track ABC Notation (SMT-ABC Notation) Our contributions include a series of models capable of handling up to 8192 tokens, covering 90% of the symbolic music data in our training set.
  arXiv  Detail & Related papers  (2024-04-09T15:35:52Z)
• SongComposer: A Large Language Model for Lyric and Melody Generation in Song Composition [82.38021790213752]
  SongComposer is a music-specialized large language model (LLM)<n>It integrates the capability of simultaneously composing melodies into LLMs by leveraging three key innovations.<n>It outperforms advanced LLMs in tasks such as lyric-to-melody generation, melody-to-lyric generation, song continuation, and text-to-song creation.<n>We will release SongCompose, a large-scale dataset for training, containing paired lyrics and melodies in Chinese and English.
  arXiv  Detail & Related papers  (2024-02-27T16:15:28Z)
• Multi-view MidiVAE: Fusing Track- and Bar-view Representations for Long Multi-track Symbolic Music Generation [50.365392018302416]
  We propose Multi-view MidiVAE, as one of the pioneers in VAE methods that effectively model and generate long multi-track symbolic music. We focus on instrumental characteristics and harmony as well as global and local information about the musical composition by employing a hybrid variational encoding-decoding strategy.
  arXiv  Detail & Related papers  (2024-01-15T08:41:01Z)
• MelodyGLM: Multi-task Pre-training for Symbolic Melody Generation [39.892059799407434]
  MelodyGLM is a multi-task pre-training framework for generating melodies with long-term structure. We have constructed a large-scale symbolic melody dataset, MelodyNet, containing more than 0.4 million melody pieces.
  arXiv  Detail & Related papers  (2023-09-19T16:34:24Z)
• Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation [158.54649047794794]
  Re-creation of Creations (ROC) is a new paradigm for lyric-to-melody generation. ROC achieves good lyric-melody feature alignment in lyric-to-melody generation.
  arXiv  Detail & Related papers  (2022-08-11T08:44:47Z)
• TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music [43.17623332544677]
  TONet is a plug-and-play model that improves both tone and octave perceptions. We present an improved input representation, the Tone-CFP, that explicitly groups harmonics. Third, we propose a tone-octave fusion mechanism to improve the final salience feature map.
  arXiv  Detail & Related papers  (2022-02-02T10:55:48Z)
• PopMAG: Pop Music Accompaniment Generation [190.09996798215738]
  We propose a novel MUlti-track MIDI representation (MuMIDI) which enables simultaneous multi-track generation in a single sequence. MuMIDI enlarges the sequence length and brings the new challenge of long-term music modeling. We call our system for pop music accompaniment generation as PopMAG.
  arXiv  Detail & Related papers  (2020-08-18T02:28:36Z)
• Music Gesture for Visual Sound Separation [121.36275456396075]
  "Music Gesture" is a keypoint-based structured representation to explicitly model the body and finger movements of musicians when they perform music. We first adopt a context-aware graph network to integrate visual semantic context with body dynamics, and then apply an audio-visual fusion model to associate body movements with the corresponding audio signals.
  arXiv  Detail & Related papers  (2020-04-20T17:53:46Z)
• Exploring Inherent Properties of the Monophonic Melody of Songs [10.055143995729415]
  We propose a set of interpretable features on monophonic melody for computational purposes. These features are defined not only in mathematical form, but also with some considerations on composers 'intuition. These features are considered by people universally in many genres of songs, even for atonal composition practices.
  arXiv  Detail & Related papers  (2020-03-20T14:13:16Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.