mlsanityData to 7 Oct 2026

TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method

arXiv 2109.09617 ↗First posted 20 Sep 2021cs.SD cs.AI cs.CLcited by 20

Not on the map. Why?

Abstract (arXiv)

Lyric-to-melody generation is an important task in automatic songwriting. Previous lyric-to-melody generation systems usually adopt end-to-end models that directly generate melodies from lyrics, which suffer from several issues: 1) lack of paired lyric-melody training data; 2) lack of control on generated melodies. In this paper, we develop TeleMelody, a two-stage lyric-to-melody generation system with music template (e.g., tonality, chord progression, rhythm pattern, and cadence) to bridge the gap between lyrics and melodies (i.e., the system consists of a lyric-to-template module and a template-to-melody module). TeleMelody has two advantages. First, it is data efficient. The template-to-melody module is trained in a self-supervised way (i.e., the source template is extracted from the target melody) that does not need any lyric-melody paired data. The lyric-to-template module is made up of some rules and a lyric-to-rhythm model, which is trained with paired lyric-rhythm data that is easier to obtain than paired lyric-melody data. Second, it is controllable. The design of template ensures that the generated melodies can be controlled by adjusting the musical elements in template. Both subjective and objective experimental evaluations demonstrate that TeleMelody generates melodies with higher quality, better controllability, and less requirement on paired lyric-melody data than previous generation systems.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). Builds on 13 of its 28 references that are in the map. First posted on arXiv 20 Sep 2021.

Builds on

13 of 28 references.

References · 13

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2019Jointly Learning to Align and Translate with Transformer Modelscited by 75
  3. 2020SongMASS: Automatic Song Writing with Pre-training and Alignment Constraintcited by 41
  4. 2020Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answeringcited by 39
  5. 2019Conditional LSTM-GAN for Melody Generation from Lyricscited by 31
  6. 2020SongNet: Rigid Formats Controlled Text Generationcited by 25
  7. 2020PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Musiccited by 24
  8. 2021DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modelingcited by 24
  9. 2015DopeLearning: A Computational Approach to Rap Lyrics Generationcited by 17
  10. 2018Neural Melody Composition from Lyricscited by 10
  11. 2016Text-based LSTM networks for Automatic Music Compositioncited by 6
  12. 2019On large-scale genre classification in symbolically encoded music by automatic identification of repeating patternscited by 6
1 more
  1. 2016Algorithmic Songwriting with ALYSIAcited by 5

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 4; 2023: 8; 2024: 3; 2025: 4; 2026: 1.

20 papers.

Sort:

By area:

  1. 2022Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generationcited by 48
  2. 2023Polyffusion: A Diffusion Model for Polyphonic Score Generation with Internal and External Controlscited by 35
  3. 2023MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Modelscited by 20
  4. 2023GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Frameworkcited by 13
  5. 2022The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modelingcited by 10
  6. 2025Exploring the Collaborative Co-Creation Process with AI: A Case Study in Novice Music Productioncited by 9
  7. 2023Regeneration Learning: A Learning Paradigm for Data Generationcited by 8
  8. 2022Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generationcited by 6
  9. 2023Translate the Beauty in Songs: Jointly Learning to Align Melody and Translate Lyricscited by 6
  10. 2023A Comprehensive Survey for Evaluation Methodologies of AI-Generated Musiccited by 6
  11. 2024Motifs, Phrases, and Beyond: The Modelling of Structure in Symbolic Music Generationcited by 6
  12. 2022MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networkscited by 5
8 more
  1. 2023WuYun: Exploring hierarchical skeleton-guided melody generation using knowledge-enhanced deep learningcited by 5
  2. 2025A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectivescited by 4
  3. 2025Mamba-Diffusion Model with Learnable Wavelet for Controllable Symbolic Music Generationcited by 3
  4. 2023Controllable Lyrics-to-Melody Generationcited by 2
  5. 2024MuDiT & MuSiT: Alignment with Colloquial Expression in Description-to-Song Generationcited by 2
  6. 2024CSL-L2M: Controllable Song-Level Lyric-to-Melody Generation Based on Conditional Transformer with Fine-Grained Lyric and Musical Controlscited by 1
  7. 2025MusicAIR: A Multimodal AI Music Generation Framework Powered by an Algorithm-Driven Corecited by 1
  8. 2026Aligning Language Models for Lyric-to-Melody Generation with Rule-Based Musical Constraintscited by 0