{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:4XNR6PDALO5AU3ZYGIECF2LURX","short_pith_number":"pith:4XNR6PDA","canonical_record":{"source":{"id":"1601.00833","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2016-01-05T14:13:28Z","cross_cats_sorted":[],"title_canon_sha256":"081655bf53f892a0ea5776174f3819af7c608719be54ca542ff046784c199906","abstract_canon_sha256":"c96dc7c1cff53a8084659c8437ae53cdff7a41dcea1b7c3953dc93422539803a"},"schema_version":"1.0"},"canonical_sha256":"e5db1f3c605bba0a6f38320822e9748dd4c7607e40b34d5689989f43238a8724","source":{"kind":"arxiv","id":"1601.00833","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1601.00833","created_at":"2026-05-18T01:23:21Z"},{"alias_kind":"arxiv_version","alias_value":"1601.00833v1","created_at":"2026-05-18T01:23:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1601.00833","created_at":"2026-05-18T01:23:21Z"},{"alias_kind":"pith_short_12","alias_value":"4XNR6PDALO5A","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_16","alias_value":"4XNR6PDALO5AU3ZY","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_8","alias_value":"4XNR6PDA","created_at":"2026-05-18T12:29:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:4XNR6PDALO5AU3ZYGIECF2LURX","target":"record","payload":{"canonical_record":{"source":{"id":"1601.00833","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2016-01-05T14:13:28Z","cross_cats_sorted":[],"title_canon_sha256":"081655bf53f892a0ea5776174f3819af7c608719be54ca542ff046784c199906","abstract_canon_sha256":"c96dc7c1cff53a8084659c8437ae53cdff7a41dcea1b7c3953dc93422539803a"},"schema_version":"1.0"},"canonical_sha256":"e5db1f3c605bba0a6f38320822e9748dd4c7607e40b34d5689989f43238a8724","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:23:21.573441Z","signature_b64":"+FeSpzvQKLPLTpmm1Qcz9Go43EaPOMmJgaJWaQleuL2AxPMKSWY062y58lcZCodro9HT56gGALR0mCT5XNspBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e5db1f3c605bba0a6f38320822e9748dd4c7607e40b34d5689989f43238a8724","last_reissued_at":"2026-05-18T01:23:21.572912Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:23:21.572912Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1601.00833","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:23:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g12Caq4gWEF7Wb/etIdO1RTKlb9ItGvHjJoiU1m7GOw3exYRo3nm6rdu5+7mAMrYF+VlYrameYsDlCwBjCKECg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T21:47:21.562693Z"},"content_sha256":"22adbfaafd183f0b53580bcf90d9632133250712ce820c59749e24f4867fc814","schema_version":"1.0","event_id":"sha256:22adbfaafd183f0b53580bcf90d9632133250712ce820c59749e24f4867fc814"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:4XNR6PDALO5AU3ZYGIECF2LURX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Analysis of Rhythmic Staccato-Vocalization Based on Frequency Demodulation for Laughter Detection in Conversational Meetings","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SD","authors_text":"B. B. Chaudhuri, Milos Cernak, Sarbani Palit, Sucheta Ghosh","submitted_at":"2016-01-05T14:13:28Z","abstract_excerpt":"Human laugh is able to convey various kinds of meanings in human communications. There exists various kinds of human laugh signal, for example: vocalized laugh and non vocalized laugh. Following the theories of psychology, among all the vocalized laugh type, rhythmic staccato-vocalization significantly evokes the positive responses in the interactions. In this paper we attempt to exploit this observation to detect human laugh occurrences, i.e., the laughter, in multiparty conversations from the AMI meeting corpus. First, we separate the high energy frames from speech, leaving out the low energ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1601.00833","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:23:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LV19BgXwr3UctJXo+9RZiODJMEtLsWpIy/paagK+N/xqfb2uUw1i7uMXRdljay3yjVx9/xB5LvSdTtrC+M5oBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T21:47:21.563038Z"},"content_sha256":"d9257026ba70ab5a64f7084259feacf37c8c795fa345e844eb8b16399266321c","schema_version":"1.0","event_id":"sha256:d9257026ba70ab5a64f7084259feacf37c8c795fa345e844eb8b16399266321c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4XNR6PDALO5AU3ZYGIECF2LURX/bundle.json","state_url":"https://pith.science/pith/4XNR6PDALO5AU3ZYGIECF2LURX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4XNR6PDALO5AU3ZYGIECF2LURX/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-03T21:47:21Z","links":{"resolver":"https://pith.science/pith/4XNR6PDALO5AU3ZYGIECF2LURX","bundle":"https://pith.science/pith/4XNR6PDALO5AU3ZYGIECF2LURX/bundle.json","state":"https://pith.science/pith/4XNR6PDALO5AU3ZYGIECF2LURX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4XNR6PDALO5AU3ZYGIECF2LURX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:4XNR6PDALO5AU3ZYGIECF2LURX","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"c96dc7c1cff53a8084659c8437ae53cdff7a41dcea1b7c3953dc93422539803a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2016-01-05T14:13:28Z","title_canon_sha256":"081655bf53f892a0ea5776174f3819af7c608719be54ca542ff046784c199906"},"schema_version":"1.0","source":{"id":"1601.00833","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1601.00833","created_at":"2026-05-18T01:23:21Z"},{"alias_kind":"arxiv_version","alias_value":"1601.00833v1","created_at":"2026-05-18T01:23:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1601.00833","created_at":"2026-05-18T01:23:21Z"},{"alias_kind":"pith_short_12","alias_value":"4XNR6PDALO5A","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_16","alias_value":"4XNR6PDALO5AU3ZY","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_8","alias_value":"4XNR6PDA","created_at":"2026-05-18T12:29:58Z"}],"graph_snapshots":[{"event_id":"sha256:d9257026ba70ab5a64f7084259feacf37c8c795fa345e844eb8b16399266321c","target":"graph","created_at":"2026-05-18T01:23:21Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Human laugh is able to convey various kinds of meanings in human communications. There exists various kinds of human laugh signal, for example: vocalized laugh and non vocalized laugh. Following the theories of psychology, among all the vocalized laugh type, rhythmic staccato-vocalization significantly evokes the positive responses in the interactions. In this paper we attempt to exploit this observation to detect human laugh occurrences, i.e., the laughter, in multiparty conversations from the AMI meeting corpus. First, we separate the high energy frames from speech, leaving out the low energ","authors_text":"B. B. Chaudhuri, Milos Cernak, Sarbani Palit, Sucheta Ghosh","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2016-01-05T14:13:28Z","title":"An Analysis of Rhythmic Staccato-Vocalization Based on Frequency Demodulation for Laughter Detection in Conversational Meetings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1601.00833","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:22adbfaafd183f0b53580bcf90d9632133250712ce820c59749e24f4867fc814","target":"record","created_at":"2026-05-18T01:23:21Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"c96dc7c1cff53a8084659c8437ae53cdff7a41dcea1b7c3953dc93422539803a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2016-01-05T14:13:28Z","title_canon_sha256":"081655bf53f892a0ea5776174f3819af7c608719be54ca542ff046784c199906"},"schema_version":"1.0","source":{"id":"1601.00833","kind":"arxiv","version":1}},"canonical_sha256":"e5db1f3c605bba0a6f38320822e9748dd4c7607e40b34d5689989f43238a8724","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e5db1f3c605bba0a6f38320822e9748dd4c7607e40b34d5689989f43238a8724","first_computed_at":"2026-05-18T01:23:21.572912Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:23:21.572912Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+FeSpzvQKLPLTpmm1Qcz9Go43EaPOMmJgaJWaQleuL2AxPMKSWY062y58lcZCodro9HT56gGALR0mCT5XNspBw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:23:21.573441Z","signed_message":"canonical_sha256_bytes"},"source_id":"1601.00833","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22adbfaafd183f0b53580bcf90d9632133250712ce820c59749e24f4867fc814","sha256:d9257026ba70ab5a64f7084259feacf37c8c795fa345e844eb8b16399266321c"],"state_sha256":"f79e8080f93de16e47186efbaf9b4d77393317d080326a8cfc0d380ff5e56dc7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ISHPCQnQIQzd3v9mu4yYJa3Pnwvit7iXEQbGf33NHKFOmuKoSxVQvGpw4RpPqw2dlWkyJU3hZ+Tx/JYWGbp3DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T21:47:21.564959Z","bundle_sha256":"a545d4a2c531afeb0268e80472c4acc8229f56291ae9abebcd8092f91ba5431a"}}