{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:AIEYSWIZCOAHIVFGBXQSZWYFCB","short_pith_number":"pith:AIEYSWIZ","canonical_record":{"source":{"id":"1908.03054","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-08-07T11:49:58Z","cross_cats_sorted":["cs.LG","cs.SD","stat.ML"],"title_canon_sha256":"50feeafb9777b186de5a87d65ab57ad875f2e612ef28a33eba92873d2e5754df","abstract_canon_sha256":"22b2bf8808776f8c4a552cb908897d174e88d2582775f61f7c702f76f9988b2e"},"schema_version":"1.0"},"canonical_sha256":"020989591913807454a60de12cdb05106dac743fe78160a777022aab241d4627","source":{"kind":"arxiv","id":"1908.03054","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.03054","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"arxiv_version","alias_value":"1908.03054v1","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.03054","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"pith_short_12","alias_value":"AIEYSWIZCOAH","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"pith_short_16","alias_value":"AIEYSWIZCOAHIVFG","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"pith_short_8","alias_value":"AIEYSWIZ","created_at":"2026-07-04T23:52:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:AIEYSWIZCOAHIVFGBXQSZWYFCB","target":"record","payload":{"canonical_record":{"source":{"id":"1908.03054","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-08-07T11:49:58Z","cross_cats_sorted":["cs.LG","cs.SD","stat.ML"],"title_canon_sha256":"50feeafb9777b186de5a87d65ab57ad875f2e612ef28a33eba92873d2e5754df","abstract_canon_sha256":"22b2bf8808776f8c4a552cb908897d174e88d2582775f61f7c702f76f9988b2e"},"schema_version":"1.0"},"canonical_sha256":"020989591913807454a60de12cdb05106dac743fe78160a777022aab241d4627","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:52:25.779056Z","signature_b64":"QbcqYqXysBTAkccycoW8BCcfjKIMToxGfAgLkehS5D6P3A97amDjj0hDLbTVyDxlQHOQEUy+oABWFYN7tecZCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"020989591913807454a60de12cdb05106dac743fe78160a777022aab241d4627","last_reissued_at":"2026-07-04T23:52:25.778610Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:52:25.778610Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.03054","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":"2026-07-04T23:52:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0GYKKyYoRJdqHviYJXYIUZIcn7/9GGRv8Wp/OqDYaGMIN5S9jDFZ0RuidIJWlvM6p6SNwMvOOpNZSBeC2WGeBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T16:25:44.412957Z"},"content_sha256":"228b04131bab3e0b2fbc3fcaa7fa3e7f78eacbd845ef4750f346b11d1ee041bf","schema_version":"1.0","event_id":"sha256:228b04131bab3e0b2fbc3fcaa7fa3e7f78eacbd845ef4750f346b11d1ee041bf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:AIEYSWIZCOAHIVFGBXQSZWYFCB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SD","stat.ML"],"primary_cat":"eess.AS","authors_text":"Akshay Deepak, Md. Shah Fahad, Shruti Gupta","submitted_at":"2019-08-07T11:49:58Z","abstract_excerpt":"Convolutional neural networks (CNN) are widely used for speech emotion recognition (SER). In such cases, the short time fourier transform (STFT) spectrogram is the most popular choice for representing speech, which is fed as input to the CNN. However, the uncertainty principles of the short-time Fourier transform prevent it from capturing time and frequency resolutions simultaneously. On the other hand, the recently proposed single frequency filtering (SFF) spectrogram promises to be a better alternative because it captures both time and frequency resolutions simultaneously. In this work, we e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.03054","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1908.03054/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-04T23:52:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4A8p94ImYFlB1iN4TDJnyqS0lFzhTcDULiLxQW1BvGhHEywl5uLu4d99hWqbyPmKpJUbv+LgI3EUvP3xCdVgBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T16:25:44.413529Z"},"content_sha256":"3de645e39b97ab415eff08ec1de62879b7e115e79fe754f5d374e13be8e5abfc","schema_version":"1.0","event_id":"sha256:3de645e39b97ab415eff08ec1de62879b7e115e79fe754f5d374e13be8e5abfc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AIEYSWIZCOAHIVFGBXQSZWYFCB/bundle.json","state_url":"https://pith.science/pith/AIEYSWIZCOAHIVFGBXQSZWYFCB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AIEYSWIZCOAHIVFGBXQSZWYFCB/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":"2026-08-20T16:25:44Z","links":{"resolver":"https://pith.science/pith/AIEYSWIZCOAHIVFGBXQSZWYFCB","bundle":"https://pith.science/pith/AIEYSWIZCOAHIVFGBXQSZWYFCB/bundle.json","state":"https://pith.science/pith/AIEYSWIZCOAHIVFGBXQSZWYFCB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AIEYSWIZCOAHIVFGBXQSZWYFCB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:AIEYSWIZCOAHIVFGBXQSZWYFCB","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":"22b2bf8808776f8c4a552cb908897d174e88d2582775f61f7c702f76f9988b2e","cross_cats_sorted":["cs.LG","cs.SD","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-08-07T11:49:58Z","title_canon_sha256":"50feeafb9777b186de5a87d65ab57ad875f2e612ef28a33eba92873d2e5754df"},"schema_version":"1.0","source":{"id":"1908.03054","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.03054","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"arxiv_version","alias_value":"1908.03054v1","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.03054","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"pith_short_12","alias_value":"AIEYSWIZCOAH","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"pith_short_16","alias_value":"AIEYSWIZCOAHIVFG","created_at":"2026-07-04T23:52:25Z"},{"alias_kind":"pith_short_8","alias_value":"AIEYSWIZ","created_at":"2026-07-04T23:52:25Z"}],"graph_snapshots":[{"event_id":"sha256:3de645e39b97ab415eff08ec1de62879b7e115e79fe754f5d374e13be8e5abfc","target":"graph","created_at":"2026-07-04T23:52:25Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1908.03054/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Convolutional neural networks (CNN) are widely used for speech emotion recognition (SER). In such cases, the short time fourier transform (STFT) spectrogram is the most popular choice for representing speech, which is fed as input to the CNN. However, the uncertainty principles of the short-time Fourier transform prevent it from capturing time and frequency resolutions simultaneously. On the other hand, the recently proposed single frequency filtering (SFF) spectrogram promises to be a better alternative because it captures both time and frequency resolutions simultaneously. In this work, we e","authors_text":"Akshay Deepak, Md. Shah Fahad, Shruti Gupta","cross_cats":["cs.LG","cs.SD","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-08-07T11:49:58Z","title":"Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.03054","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":"sha256:228b04131bab3e0b2fbc3fcaa7fa3e7f78eacbd845ef4750f346b11d1ee041bf","target":"record","created_at":"2026-07-04T23:52:25Z","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":"22b2bf8808776f8c4a552cb908897d174e88d2582775f61f7c702f76f9988b2e","cross_cats_sorted":["cs.LG","cs.SD","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-08-07T11:49:58Z","title_canon_sha256":"50feeafb9777b186de5a87d65ab57ad875f2e612ef28a33eba92873d2e5754df"},"schema_version":"1.0","source":{"id":"1908.03054","kind":"arxiv","version":1}},"canonical_sha256":"020989591913807454a60de12cdb05106dac743fe78160a777022aab241d4627","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"020989591913807454a60de12cdb05106dac743fe78160a777022aab241d4627","first_computed_at":"2026-07-04T23:52:25.778610Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:52:25.778610Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QbcqYqXysBTAkccycoW8BCcfjKIMToxGfAgLkehS5D6P3A97amDjj0hDLbTVyDxlQHOQEUy+oABWFYN7tecZCw==","signature_status":"signed_v1","signed_at":"2026-07-04T23:52:25.779056Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.03054","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:228b04131bab3e0b2fbc3fcaa7fa3e7f78eacbd845ef4750f346b11d1ee041bf","sha256:3de645e39b97ab415eff08ec1de62879b7e115e79fe754f5d374e13be8e5abfc"],"state_sha256":"e02522be0e5762a7787066d742033a2d34b236e942ff025a651313353edcff29"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x5HUU0lT2YjXHQDSyO9td4VmMfYFv1SrZC38cPypsUpSxx4im6Kw5nUoYLo/o95JQ8MZzeu14gOs/gM6ly4wCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T16:25:44.419103Z","bundle_sha256":"94096b6ebf261aadfccd431b6254624009da315f7b55bb26ad3d7655b584ed01"}}