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Audio Captioning on Clotho

50.9CIDErChen et al.
2.321614.933327.54540.1567Jun 5, 2020Jun 3, 2021Jun 1, 2022May 30, 2023May 27, 2024May 25, 2025May 24, 2026

Evaluation results

MethodLinks
Chen et al.2024.0950.919.414.532.754.1——————————
Feng et al.2024.0949.519.214.131.852.5——————————
Liu et al.2024.0949.319.514.531.953.3——————————
CNN14-BART2025.0348.818.513.331———————————
CNN14-BART2025.0348.818.513.331———————————
Wavcaps0-shot=false2024.0648.8——31———————————
EnCLAP++2024.094819.914.831.454.4——————————
EnCLAP-largetraining_setup=Trained on AudioCaps and Clotho2024.0146.418.613.329.9———————————
EnCLAP-basetraining_setup=Trained on AudioCaps and Clotho2024.0146.318.412.829.5———————————
HTSAT-BART2025.0346.218.413.329.7———————————
HTSAT-BART2025.0346.218.413.329.7———————————
EnCLAP-basetraining_setup=Trained on Clotho only2024.0146.11812.829.4———————————
DCASE 2024 Baseline2024.0944.218.613.528.851——————————
Qwen-Audiozero-shot=true2023.1144.1—13.628.8———————————
GraphACtraining_setup=Trained on AudioCaps and Clotho2024.0143.717.512.628.1———————————
FeatureCut0-shot=false2024.0643.6——27.9———————————
M2D-CLAP stage2Audio encoder AudioSet fine-tuning=false2025.0343.517.812.42849.9——————————
M2D-CLAP2025 stage2Audio encoder AudioSet fine-tuning=false2025.0343.517.812.42849.9——————————
P-LocalAFTtraining_setup=Trained on AudioCaps and Clotho2024.0143.417.712.227.8———————————
M2D-CLAP stage2.1Audio encoder AudioSet fine-tuning=false2025.0343.217.812.527.849.7——————————
M2D-CLAP2025 stage2.1Audio encoder AudioSet fine-tuning=false2025.0343.217.812.527.849.7——————————
M2D-CLAP2025Audio encoder AudioSet fine-tuning=true2025.0343.117.712.527.849.6——————————
M2D-CLAP2025Audio encoder AudioSet fine-tuning=true2025.0343.117.712.527.849.6——————————
EnCLAP-largetraining_setup=Trained on Clotho only2024.0142.618.212.927.8———————————
CLAP2023Audio encoder AudioSet fine-tuning=true2025.0342.517.512.327.449.2——————————
CLAP2023Audio encoder AudioSet fine-tuning=false2025.0342.517.512.327.449.2——————————
MAACtraining_setup=Trained on Clotho only2024.0141.917.411.926.9———————————
PengiTask-specific fine-tuning=true2023.1141.6—12.627.1———————————
Pengitraining_setup=Trained on AudioCaps and Clotho2024.0141.617.212.627.1———————————
LAION-CLAPAudio encoder AudioSet fine-tuning=true2025.0341.417.412.126.848.6——————————
LAION-CLAPAudio encoder AudioSet fine-tuning=true2025.0341.417.412.126.848.6——————————
M2D-CLAP stage1Audio encoder AudioSet fine-tuning=false2025.0341.217.412.226.748.9——————————
M2D-CLAP2025 stage1Audio encoder AudioSet fine-tuning=false2025.0341.217.412.226.748.9——————————
Kim et al.2024.0940.918.913.527.252.6——————————
LHDFFtraining_setup=Trained on Clotho only2024.0140.817.512.226.5———————————
CLIP-AACtraining_setup=Trained on Clotho only2024.0140.717.111.926.3———————————
Prefix Tuning for Automated Audio CaptioningTraining set=Clotho2023.0339.21711.825.5—5637.625.31637.8—————
Individuals2026.0538.63—11.9825.29———————————
DiDi-Merging2026.0538.56—11.9825.25———————————
FREE-Merging2026.0538.53—11.9525.22———————————
MMER2026.0538.49—11.9325.18———————————
Koh et al.Training set=Clotho2023.033816.511.124.6—55.136.925.216.837.3—————
Xu et al.Training set=Clotho2023.0337.716.911.524.6—55.636.324.215.936.8—————
NaiveMC2026.0537.56—11.6124.61———————————
Chen et al.Training set=Clotho2023.0334.61610.822.7—53.434.32315.135.6—————
Jung et al.2024.0934.417.21424.255.4——————————
Cacophony2025.0334.215.310.622.4———————————
Cacophony2025.0334.215.310.622.4———————————
MiCo-Chat-7B0-shot=true2024.0633.3——21.9———————————
Mei et al.Training set=Clotho2023.033215.810.521.3—52.732.721.113.135.6—————
Prefix Tuning for Automated Audio CaptioningTraining set=Clotho & AudioCaps2023.0331.915.911.121.5—53.934.622.714.236.6—————
Chen et al.Training set=Clotho & AudioCaps2023.0331.415.310.220.8—51.632.521.514.135—————
Mei et al.Training set=Clotho & AudioCaps2023.0331.315.710.520.9—51.631.820.412.735.1—————
OneLLM-7B0-shot=true2024.0629.1——19.5———————————
BaselineKeep Ratio=0.752026.0528.3——————————————
BaselineKeep Ratio=0.52026.0528.3——————————————
BaselineKeep Ratio=0.252026.0528.3——————————————
Gontier et al.Training set=Clotho2023.0327.814.89.218.5—50.631.82113.433.8—————
ChatBridge-13B0-shot=true2024.0626.2——————————————
Gontier et al.Training set=Clotho & AudioCaps2023.0325.113.68.316.7—46.128.218.211.731.8—————
Prefix Tuning for Automated Audio CaptioningTraining set=AudioCaps2023.0319.211.27.413.3—34.219.511.56.527.6—————
LTBM (local)Keep Ratio=0.752026.0518.38——————————————
Global MergeKeep Ratio=0.752026.0518.12——————————————
RNN-GRU-EncDec + VGGish + Word2VecInput Features=VGGish, Word Embeddings=Word2Vec2020.061819———5128221240—————
Segmentwise Top-KKeep Ratio=0.752026.0516.39——————————————
Global Top-KKeep Ratio=0.752026.0515.94——————————————
RNN-GRU-EncDec + VGGishInput Features=VGGish2020.061518———452418938—————
Mei et al.Training set=AudioCaps2023.0311.79.658.4—29.414.684.323.9—————
Global MergeKeep Ratio=0.52026.0511.38——————————————
Gontier et al.Training set=AudioCaps2023.0311.29.84.67.9—30.914.67.13.423.3—————
RNN-GRU-EncDec + Log Mel EnergyInput Features=Log Mel Energy2020.061117———452116834—————
LTBM (local)Keep Ratio=0.52026.0510.96——————————————
Chen et al.Training set=AudioCaps2023.0310.98.64.27.6—22.611.46.53.922.8—————
Clotho2020.06109———42146227—————
UniAvgKeep Ratio=0.52026.059.9——————————————
Segmentwise Top-KKeep Ratio=0.52026.059.35——————————————
Global Top-KKeep Ratio=0.52026.059.06——————————————
LTBM (local)Keep Ratio=0.252026.056.83——————————————
Global MergeKeep Ratio=0.252026.056.66——————————————
Global Top-KKeep Ratio=0.252026.056.27——————————————
Segmentwise Top-KKeep Ratio=0.252026.055.64——————————————
UniAvgKeep Ratio=0.252026.054.19——————————————
CLAP2023 (Ref)2025.03———27.1———————————
CLAP2023 (Reference)2025.03———27.1———————————
GAMA-7Br=8, Conn.=QFormer2025.09——————————13.5————
LoRA-MCLepsilon=0.0005, decoding=BS, beam=52025.07—24.419.643.6—68.7——15.647.6—58.148.859.970
LoRA-MCLepsilon=0.05, decoding=BS, beam=52025.07—24.919.643.4—68.9——16.248—58.147.859.969.7
LoRA-MCLmode=annealed, decoding=BS, beam=52025.07—24.619.944.3—68.9——16.847.7—58.447.86071.1
LoRA-MCLmode=annealed, decoding=Nucleus (Top-p) sampling2025.07—21.217.132.5————7.440.3—829.858.950.7
LoRA-MCL (annealed)Decoding=Top-k sampling2025.07—21.217.532.7————7.440.3—81.99.759.750.7
LoRA-MCL (annealed)Decoding=Nucleus (Top-p) sampling2025.07—21.217.132.5————7.440.3—829.858.950.7
LoRA-MCL (annealed)Decoding=Typical p sampling2025.07—21.117.232.7————7.240.2—81.910.35950.9
LoRA-MLErank=8, decoding=BS, beam=52025.07—22.817.439.4—65.6——13.744.5—36.582.257.562.6
LoRA-MLErank=40, decoding=BS, beam=52025.07—22.617.237.6—64.3——11.543.5—36.781.85759.5
LoRA-MLErank=8, decoding=DBS (λ = 1.0), beam=52025.07—24.219.442.5—68.5——14.847—62.541.760.268.1
LoRA-MLErank=8, decoding=Top-k sampling2025.07—21.517.632.3————6.640.2—81.310.959.349.7
LoRA-MLE (r = 8)Decoding=Top-k sampling2025.07—21.517.632.3————6.640.2—81.310.959.349.7
LoRA-MLE (r = 8)Decoding=Nucleus (Top-p) sampling2025.07—21.217.333————7.340.3—81.211.258.651.6
LoRA-MLE (r = 8)Decoding=Typical p sampling2025.07—21.217.333.1————7.340.3—81.211.158.651.6
LoRA-MoEdecoding=BS, beam=252025.07—23.918.441.1—65.7——14.445.7—4175.557.965.3