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:unav
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创建时间：
2023-06-28
相关数据集
huggymissaggy/musan-segments-v2
--- dataset_info: config_name: no_speech features: - name: audio dtype: audio: sampling_rate: 16000 splits: - name: train num_bytes: 271991376.125 num_examples: 848
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DynamicSuperb/HEARGunshotLocationClassification_GunshotTriangulation-Fold3
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Summary by recording: Annotations, training features, and optimal parameters.
1) Recordings: Len—Total recording time in seconds, N—Number of annotated events, τ—mean inter arrival time (ms), λ—arrival rate per unit area (s−1m−2); 2) Φ0-sampled training data: n1—#{y = 1}, n0—#{
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KineScaper-EV
KineScaper-EV: A Controlled Dataset for Emergency Vehicle Siren Recognition, Siren-Type Benchmarking, and Detection-Oriented Analysis Overview KineScaper-EV is a mixed (real-world and synthetic so
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