Papers › Frequency Dynamic Convolution: Frequency-Adaptive Pattern Recognition for Sound Event Detection

Frequency Dynamic Convolution: Frequency-Adaptive Pattern Recognition for Sound Event Detection

29 Mar 2022arXiv:2203.15296archive 2025-07-28

Hyeonuk Nam, Seong-Hu Kim, Byeong-Yun Ko, Yong-Hwa Park

2D convolution is widely used in sound event detection (SED) to recognize two dimensional time-frequency patterns of sound events. However, 2D convolution enforces translation equivariance on sound events along both time and frequency axis while frequency is not shift-invariant dimension. In order to improve physical consistency of 2D convolution on SED, we propose frequency dynamic convolution which applies kernel that adapts to frequency components of input. Frequency dynamic convolution outperforms the baseline by 6.3% in DESED validation dataset in terms of polyphonic sound detection score (PSDS). It also significantly outperforms other pre-existing content-adaptive methods on SED. In addition, by comparing class-wise F1 scores of baseline and frequency dynamic convolution, we showed that frequency dynamic convolution is especially more effective for detection of non-stationary sound events with intricate time-frequency patterns. From this result, we verified that frequency dynamic convolution is superior in recognizing frequency-dependent patterns.

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decode_pred_batch frednam93/FDY-SED/utils/utils.py official repository unverified MIT (permissive) · 09740df508b27138 · report
frame_shift frednam93/FDY-SED/utils/data_aug.py official repository unverified MIT (permissive) · fc4d7ca68be30162 · report
get_configs frednam93/FDY-SED/utils/settings.py official repository unverified MIT (permissive) · 35d34e23002c3f6c · report
get_event_list_current_file frednam93/FDY-SED/utils/evaluation_measures.py official repository unverified MIT (permissive) · 642c47d1500f9afe · report
get_logger frednam93/FDY-SED/utils/settings.py official repository unverified MIT (permissive) · 5f1a7881bda24d62 · report
get_save_directories frednam93/FDY-SED/utils/settings.py official repository unverified MIT (permissive) · 999fa7df4f591099 · report
mixup frednam93/FDY-SED/utils/data_aug.py official repository unverified MIT (permissive) · fcf7e299ada9da07 · report
normalize_wav frednam93/FDY-SED/utils/dataset.py official repository unverified MIT (permissive) · 42603004cab20d23 · report
time_mask frednam93/FDY-SED/utils/data_aug.py official repository unverified MIT (permissive) · 7990a733fe90164b · report
to_mono frednam93/FDY-SED/utils/dataset.py official repository unverified MIT (permissive) · 2a09e6597b934159 · report
update_ema frednam93/FDY-SED/utils/utils.py official repository unverified MIT (permissive) · 4a179359e2060751 · report

Tasks

Event DetectionSound Event DetectionTranslation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Sound Event Detection DESED FDY-CRNN PSDS1 0.452 #3 of 13 Archive leaderboard report
Sound Event Detection DESED FDY-CRNN PSDS2 0.670 #3 of 13 Archive leaderboard report
Sound Event Detection DESED FDY-CRNN event-based F1 score 54.0 #3 of 13 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

Convolution

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