{ "bootstrap": { "n": 2000, "seed": 0, "unit": "recording" }, "code_dirty": [ "hf-release-v0.1/config.json", "training/hf_convert.py", "training/hq5a_cough_eval.sbatch", "training/hq5a_evalsets.sbatch", "training/release_gate.py", "hf-release-v0.1/release-manifest.json", "training/hq5a_event_calib.sbatch" ], "code_revision": "e4db7af66b151e230c6075e28253302b9b48ff6e", "family": "laughter-v0.1", "members": [ "laughter-v0.1-seed0", "laughter-v0.1-seed1", "laughter-v0.1-seed10", "laughter-v0.1-seed11", "laughter-v0.1-seed12", "laughter-v0.1-seed13", "laughter-v0.1-seed14", "laughter-v0.1-seed2", "laughter-v0.1-seed3", "laughter-v0.1-seed4", "laughter-v0.1-seed5", "laughter-v0.1-seed6", "laughter-v0.1-seed7", "laughter-v0.1-seed8", "laughter-v0.1-seed9" ], "reproduce": "For each public surface: AP of each probs/__laughter-v0.1-seedN.npy against target>=0.5 in .clips.tsv, mean over the 15 seeds = family_mean; margin = family_mean - reference AP; CI by paired recording (speaker on VocalSound) bootstrap, 2000 resamples, seed 0.", "rule": "internal-and-any-public", "set_digests": { "ami-eval-v1": "1ab59b11012d18d9", "annotation-eval-v5": "2dcdba95c052bbde", "podcastfillers-eval": "e4deca38c6380c35", "public-vocalsound": "c4557271c7f68f70", "fsd50k-panel": "b55cd8789c24fda8" }, "table": { "ami-eval-v1": { "ci_hi": 0.03942520109963582, "ci_lo": 0.012154065156311903, "family_mean": 0.9483739882117678, "floor_ci_upper": 0.0039598598827272615, "floor_sigma": 0.002556051282820607, "label": "AMI", "margin": 0.02538138623377517, "member_ap": [ 0.9507902186015077, 0.9500519992061698, 0.9452210675451327, 0.9503056961627866, 0.9508894430969833, 0.9470331036343588, 0.9450138166749027, 0.9465480039960334, 0.9513989118555961, 0.9483455133944823, 0.9432426745514125, 0.9511137070448046, 0.9483085823703894, 0.9485920621237138, 0.9487550229182443 ], "n": 15, "n_clips": 3082, "n_recordings": 24, "reference_ap": 0.9229926019779926, "reference_model": "eat" }, "annotation-eval-v5": { "ci_hi": 0.023578607063105828, "ci_lo": -0.014470678820449834, "family_mean": 0.8996943593326668, "floor_ci_upper": 0.004720526387522345, "floor_sigma": 0.003047054159932776, "label": "internal", "margin": 0.0028852774625475197, "member_ap": [ 0.8975475415661825, 0.9039947028281456, 0.8983932783475506, 0.8993346068750109, 0.9005183386530095, 0.9016603462847035, 0.9028680945100267, 0.8955774413407963, 0.9002877424905875, 0.9031921793787044, 0.8952398854096171, 0.9011704571931498, 0.8995806005577214, 0.8942340859359875, 0.9018160886188078 ], "n": 15, "n_clips": 2297, "n_recordings": 21, "reference_ap": 0.8968090818701193, "reference_model": "ced-base", "_per_clip": "not shipped (internal audio)" }, "podcastfillers-eval": { "ci_hi": 0.050521526766975876, "ci_lo": -0.02075922278013193, "family_mean": 0.8333527146573345, "floor_ci_upper": 0.01673321979650875, "floor_sigma": 0.010801131654468506, "label": "PF", "margin": 0.014778337531855201, "member_ap": [ 0.8344361951641851, 0.841598928384278, 0.8411140826012734, 0.8366294402860901, 0.8337691285784827, 0.8382277485746962, 0.8403275294236768, 0.831845088772049, 0.8383355800012807, 0.8350686755602265, 0.7975593280141196, 0.8376021852481, 0.8343551388336643, 0.8279070269767151, 0.8315146434411776 ], "n": 15, "n_clips": 10398, "n_recordings": 20, "reference_ap": 0.8185743771254793, "reference_model": "gillick" }, "public-vocalsound": { "ci_hi": -0.005603668917087099, "ci_lo": -0.02523479335876062, "family_mean": 0.9550608658482184, "floor_ci_upper": 0.007326952674220729, "floor_sigma": 0.004729477137259021, "label": "VS", "margin": -0.015235673719981468, "member_ap": [ 0.9520376579742674, 0.9552183790146299, 0.9540970381377161, 0.9509495673970976, 0.9519229996151687, 0.9537347287207015, 0.9557549955025102, 0.9619265200931599, 0.9544285936941963, 0.9517720709172127, 0.9652754551778516, 0.9524594157733894, 0.9488156226153927, 0.9624520243219058, 0.9550679187680756 ], "n": 15, "n_clips": 3591, "n_recordings": 574, "reference_ap": 0.9702965395681998, "reference_model": "ced-base" } }, "tolerance": { "ap": 1e-12, "ci": 0.005 }, "verdict": "FAIL: internal", "z_whole_ci": { "AMI": 6.409667762358887, "PF": 0.8831735739787857, "VS": -2.0794011367900485, "internal": 0.6112194331068893 }, "curation": { "by": "release packaging", "date": "2026-09-05", "note": "Public bundle, curated from the internal eval bundle: the private internal surface's per-clip data is excluded (its digest and aggregate row are kept so the card's internal row stays auditable), run names are mapped to release naming (laughter-v0.1-seed0..14, order preserved against the member_ap arrays), the fifteen per-seed configs ship once as configs/laughter-v0.1.json (runs are seeds 0-14 of it), and operational fields are removed from that config. eval/podcastfillers-relabel.tsv records the 100 PodcastFillers non-laughter clips both model families scored above 0.9 and the listening verdict on each (97 contain audible laughter); the table above uses the published labels. 2026-09-09: the FSD50K NSV panel added (fsd50k-panel.clips.tsv, probs for the 15 seeds and ced-base); its column is defined under fsd50k_panel. 2026-09-10: the two no-teacher arms retrained on seeds 0-14 so every trained row shares the same seeds; card_table holds every cell." }, "fsd50k_panel": { "label": "FSD50K NSV", "what": "Share of FSD50K non-laughter vocalisation clips (any of cough, sneeze, breathing, gasp, sigh, crying, burping; no Laughter label) scored as laughter, at the threshold where the model recovers 90% of the panel's Laughter clips. Each clip's score is the max over its 4 s windows (hop 4 s). Lower is better.", "n_laughter": 933, "n_nsv": 1136, "n_clips": 4269, "recall": 0.9, "family_mean": 0.1459507042253521, "family_sd": 0.013560746885563212, "member_nsv_fp": [ 0.14964788732394366, 0.15316901408450703, 0.1267605633802817, 0.13556338028169015, 0.1637323943661972, 0.13468309859154928, 0.13556338028169015, 0.1619718309859155, 0.12147887323943662, 0.13908450704225353, 0.16549295774647887, 0.14964788732394366, 0.15933098591549297, 0.14788732394366197, 0.14524647887323944 ], "reference_model": "ced-base", "reference_nsv_fp": 0.03609154929577465, "others": { "eat-lora-no-teacher": { "nsv_fp": 0.1931338028169014, "sd": 0.01694497340594801, "n": 15 }, "eat-full-finetune-teacher": { "nsv_fp": 0.17951877934272303, "sd": 0.04972447014311274, "n": 15 }, "eat-full-finetune-no-teacher": { "nsv_fp": 0.26085680751173707, "sd": 0.030258187344898973, "n": 15 }, "eat": { "nsv_fp": 0.0801056338028169, "n": 1 }, "ced-tiny": { "nsv_fp": 0.07130281690140845, "n": 1 }, "beats": { "nsv_fp": 0.14524647887323944, "n": 1 }, "gillick": { "nsv_fp": 0.48327464788732394, "n": 1 } }, "reproduce": "s = probs/fsd50k-panel__.npy aligned with fsd50k-panel.clips.tsv; thr = the 840th highest score among laughter==1 rows (ceil(0.9*933)); nsv_fp = mean(s[nsv==1] >= thr). Clips are FSD50K dev audio (train and val folds) that carry panel labels; none of it is training data." }, "card_table": { "note": "Every cell of the card's results table. Trained rows: mean and sd over seeds 0-14. Off-the-shelf rows: value and 95% bootstrap half-width (2000 draws, seed 0) over recordings (speakers on VocalSound, clips on the FSD50K panel). Built by training.card_results.", "columns": [ "annotation-eval-v5", "podcastfillers-eval", "ami-eval-v1", "public-vocalsound", "fsd50k-panel" ], "panel_recall": 0.9, "bootstrap": 2000, "n_laughter": 933, "n_nsv": 1136, "rows": { "**this release**: EAT + LoRA, teacher-trained": { "annotation-eval-v5": { "value": 0.8996943593326668, "spread": 0.0029931705939927142, "spread_kind": "seed sd", "n": 15 }, "podcastfillers-eval": { "value": 0.8333527146573345, "spread": 0.010610126355847991, "spread_kind": "seed sd", "n": 15 }, "ami-eval-v1": { "value": 0.9483739882117678, "spread": 0.002510850524772026, "spread_kind": "seed sd", "n": 15 }, "public-vocalsound": { "value": 0.9550608658482184, "spread": 0.0046458419014504355, "spread_kind": "seed sd", "n": 15 }, "fsd50k-panel": { "value": 0.14595070422535214, "spread": 0.013560746885563212, "spread_kind": "seed sd", "n": 15 } }, "EAT + LoRA, no teacher": { "annotation-eval-v5": { "value": 0.9022181395955502, "spread": 0.0028596226591157932, "spread_kind": "seed sd", "n": 15 }, "podcastfillers-eval": { "value": 0.846728733967997, "spread": 0.014180319446455675, "spread_kind": "seed sd", "n": 15 }, "ami-eval-v1": { "value": 0.9524466643323456, "spread": 0.003276968221102732, "spread_kind": "seed sd", "n": 15 }, "public-vocalsound": { "value": 0.9420809875492873, "spread": 0.006998231467778743, "spread_kind": "seed sd", "n": 15 }, "fsd50k-panel": { "value": 0.1931338028169014, "spread": 0.01694497340594801, "spread_kind": "seed sd", "n": 15 } }, "EAT full fine-tune, teacher-trained": { "annotation-eval-v5": { "value": 0.9166429554840164, "spread": 0.005625359041947865, "spread_kind": "seed sd", "n": 15 }, "podcastfillers-eval": { "value": 0.8750703685982714, "spread": 0.011921685111299707, "spread_kind": "seed sd", "n": 15 }, "ami-eval-v1": { "value": 0.9446209554473263, "spread": 0.005212745805492586, "spread_kind": "seed sd", "n": 15 }, "public-vocalsound": { "value": 0.9437988023703398, "spread": 0.01700459450721973, "spread_kind": "seed sd", "n": 15 }, "fsd50k-panel": { "value": 0.17951877934272303, "spread": 0.04972447014311274, "spread_kind": "seed sd", "n": 15 } }, "EAT full fine-tune, no teacher": { "annotation-eval-v5": { "value": 0.918610648846479, "spread": 0.006374031205233863, "spread_kind": "seed sd", "n": 15 }, "podcastfillers-eval": { "value": 0.8808029276378652, "spread": 0.008482409285809667, "spread_kind": "seed sd", "n": 15 }, "ami-eval-v1": { "value": 0.9523479177219377, "spread": 0.004569827830633127, "spread_kind": "seed sd", "n": 15 }, "public-vocalsound": { "value": 0.9089073852987579, "spread": 0.059372105425155815, "spread_kind": "seed sd", "n": 15 }, "fsd50k-panel": { "value": 0.26085680751173707, "spread": 0.030258187344898973, "spread_kind": "seed sd", "n": 15 } }, "CED-base, AudioSet head": { "annotation-eval-v5": { "value": 0.8968090818701193, "spread": 0.0228192185597908, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "podcastfillers-eval": { "value": 0.8105831097976058, "spread": 0.06036189372814932, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "ami-eval-v1": { "value": 0.8541544974880243, "spread": 0.039408864655789466, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "public-vocalsound": { "value": 0.9702965395681998, "spread": 0.009631731710918856, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "fsd50k-panel": { "value": 0.03609154929577465, "spread": 0.016285211267605633, "spread_kind": "bootstrap 95% half-width", "n": 1 } }, "EAT, AudioSet head (the base checkpoint, zero-shot)": { "annotation-eval-v5": { "value": 0.8829045193537908, "spread": 0.02558446961170535, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "podcastfillers-eval": { "value": 0.7844658804345496, "spread": 0.04947444610463847, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "ami-eval-v1": { "value": 0.9229926019779926, "spread": 0.024309727861856867, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "public-vocalsound": { "value": 0.9571953064111093, "spread": 0.013309956523687383, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "fsd50k-panel": { "value": 0.0801056338028169, "spread": 0.027739876760563317, "spread_kind": "bootstrap 95% half-width", "n": 1 } }, "CED-tiny, AudioSet head": { "annotation-eval-v5": { "value": 0.8857709447136373, "spread": 0.02259637836585593, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "podcastfillers-eval": { "value": 0.7980219459500315, "spread": 0.06555965664476748, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "ami-eval-v1": { "value": 0.8564672033882755, "spread": 0.03207273515356468, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "public-vocalsound": { "value": 0.9558670210236383, "spread": 0.012283620217255986, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "fsd50k-panel": { "value": 0.07130281690140845, "spread": 0.02112676056338028, "spread_kind": "bootstrap 95% half-width", "n": 1 } }, "BEATs, AudioSet head": { "annotation-eval-v5": { "value": 0.8383485927709583, "spread": 0.031978569016706926, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "podcastfillers-eval": { "value": 0.7475556060918509, "spread": 0.06449430520655708, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "ami-eval-v1": { "value": 0.8419949943494651, "spread": 0.029730828291308575, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "public-vocalsound": { "value": 0.9273063305843975, "spread": 0.016602341784197117, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "fsd50k-panel": { "value": 0.14524647887323944, "spread": 0.03962367957746479, "spread_kind": "bootstrap 95% half-width", "n": 1 } }, "Gillick et al.": { "annotation-eval-v5": { "value": 0.8590035695842937, "spread": 0.022847874353034203, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "podcastfillers-eval": { "value": 0.8185743771254793, "spread": 0.04195457050713697, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "ami-eval-v1": { "value": 0.8525958378855036, "spread": 0.030944159938566085, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "public-vocalsound": { "value": 0.7171790828625292, "spread": 0.0312806324260928, "spread_kind": "bootstrap 95% half-width", "n": 1 }, "fsd50k-panel": { "value": 0.48327464788732394, "spread": 0.053268045774647804, "spread_kind": "bootstrap 95% half-width", "n": 1 } } } } }