STARS: A Unified Framework for Singing Transcription, Alignment, and Refined Style Annotation
ACL Findings - 2025
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Requires the vocal audio plus lyrics, phonemes and a phoneme-to-word map. Exports note MIDI together with phoneme, word and vocal-technique timing; it is not an audio-only route.
Input
Supports inputs in formats such as mp3 / wav / flac / ogg / m4a / aac / aif / aiff / mp4 / mov / mkv
Supported formats
Output
MIDI / JSON
Use case
Edit notes, instrumentation and performance details.
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STARS · Chinese: Edit notes, instrumentation and performance details.
STARS · Bilingual: Edit notes, instrumentation and performance details.
ACL Findings - 2025
Includes public test results for models used here and elsewhere. The complete source table is shown by default; conditions and metrics can also be selected for comparison. Scores from different test conditions are not directly comparable.
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Choose a dataset to view all metrics for each model. Rows follow the official rank or selected metric. Bold marks each column’s best comparable value, including ties. Different evaluation protocols are ranked separately; missing scores are shown as -.
Deployable entries 3 / source rows 3
Values come from the linked public source. Row labels identify the test set or checkpoint; unreported scores are shown as -.
| Metric rank | Model | COnPOff(F) ↑ | RPA ↑ |
|---|---|---|---|
| 1 | STARS (ours)Used on this sitePublic weights · Inference code | 71.0 | 86.7 |
| 2 | ROSVOTPublic weights · Inference code | 70.2 | 83.8 |
| 3 | VOCANOPublic weights · Inference code | 50.2 | 76.6 |
Markers identify models or components used here. Scores and settings come from the cited tests, not a new evaluation of the complete site pipeline.
Datasets, versions and conditions remain separate, including sources with no eligible ranking rows.
Deployable entries 3 / source rows 3
Deployable entries 2 / source rows 6
A complete public inference package for these experiments has not been verified. Other weights with the same model name do not qualify.
w/o CTC · w/o VQ · w/o MOE · Conv
Scores apply to the listed dataset, metric and model version; results from different tests are not directly comparable.
Choose a dataset to view all metrics for each model. Rows follow the official rank or selected metric. Bold marks each column’s best comparable value, including ties. Different evaluation protocols are ranked separately; missing scores are shown as -.
Deployable entries 3 / source rows 3
Values come from the linked public source. Row labels identify the test set or checkpoint; unreported scores are shown as -.
| Metric rank | Model | COnPOff(F) ↑ | RPA ↑ |
|---|---|---|---|
| 1 | STARS (ours)Public weights · Inference code | 71.0 | 86.7 |
| 2 | ROSVOTPublic weights · Inference code | 70.2 | 83.8 |
| 3 | VOCANOPublic weights · Inference code | 50.2 | 76.6 |
Choose a dataset to view all metrics for each model. Rows follow the official rank or selected metric. Bold marks each column’s best comparable value, including ties. Different evaluation protocols are ranked separately; missing scores are shown as -.
Deployable entries 2 / source rows 6
A complete public inference package for these experiments has not been verified. Other weights with the same model name do not qualify.
w/o CTC · w/o VQ · w/o MOE · Conv
Values come from the linked public source. Row labels identify the test set or checkpoint; unreported scores are shown as -.
| Metric rank | Model | BER ↓ | IOU ↑ | COnPOff(F) ↑ | RPA ↑ | T-F1 ↑ | T-ACC ↑ | S-ACC ↑ |
|---|---|---|---|---|---|---|---|---|
| 1 | STARSPublic weights · Inference code | 18.6 | 80.9 | 71.0 | 86.7 | 79.9 | 91.5 | 68.0 |
| 2 | BilingualPublic weights · Inference codestars_chinese_english_bilingual/model_ckpt_steps_300000.ckptInference codeWeight license not declared | 19.4 | 75.6 | 68.1 | 86.2 | 76.8 | 91.4 | 70.4 |
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