{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:MICOZFFBN2SQTKNJEJRYGGW5PB","short_pith_number":"pith:MICOZFFB","canonical_record":{"source":{"id":"2304.01448","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-04-04T01:44:24Z","cross_cats_sorted":[],"title_canon_sha256":"8fb814246c55dd9d0834669120b7c9908c9f738a958f11443150576e648ce5da","abstract_canon_sha256":"8d0b92ea2c15c2f1cac18ea04b5c08d7e3812bbf5a18bf3a48d95215077bb2e2"},"schema_version":"1.0"},"canonical_sha256":"6204ec94a16ea509a9a92263831add7878f53cc8e1c8521b8926a266eb326590","source":{"kind":"arxiv","id":"2304.01448","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.01448","created_at":"2026-07-05T05:57:40Z"},{"alias_kind":"arxiv_version","alias_value":"2304.01448v1","created_at":"2026-07-05T05:57:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.01448","created_at":"2026-07-05T05:57:40Z"},{"alias_kind":"pith_short_12","alias_value":"MICOZFFBN2SQ","created_at":"2026-07-05T05:57:40Z"},{"alias_kind":"pith_short_16","alias_value":"MICOZFFBN2SQTKNJ","created_at":"2026-07-05T05:57:40Z"},{"alias_kind":"pith_short_8","alias_value":"MICOZFFB","created_at":"2026-07-05T05:57:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:MICOZFFBN2SQTKNJEJRYGGW5PB","target":"record","payload":{"canonical_record":{"source":{"id":"2304.01448","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-04-04T01:44:24Z","cross_cats_sorted":[],"title_canon_sha256":"8fb814246c55dd9d0834669120b7c9908c9f738a958f11443150576e648ce5da","abstract_canon_sha256":"8d0b92ea2c15c2f1cac18ea04b5c08d7e3812bbf5a18bf3a48d95215077bb2e2"},"schema_version":"1.0"},"canonical_sha256":"6204ec94a16ea509a9a92263831add7878f53cc8e1c8521b8926a266eb326590","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:57:40.622050Z","signature_b64":"nXz/SmdLC17KXqax44ZfzsLb1A79/1MEx0fh2JDvvqEgIE3c5rzmfwnikzj2TFovFZ7jgXpa8mpJrDowwqt0CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6204ec94a16ea509a9a92263831add7878f53cc8e1c8521b8926a266eb326590","last_reissued_at":"2026-07-05T05:57:40.621615Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:57:40.621615Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.01448","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":"2026-07-05T05:57:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KBsKlDgQQmMWTSlMra7sKfyuC0w5vAA8unm3WFzXqXrx1BKuJnZGjk8xCCk7AAwiHfmQdJIq+E0+5FxQ6SXsCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T06:01:54.338466Z"},"content_sha256":"24e2c0853388bed59d62369ce51e960edc194b89a7e1e8228692fb02aace4d67","schema_version":"1.0","event_id":"sha256:24e2c0853388bed59d62369ce51e960edc194b89a7e1e8228692fb02aace4d67"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:MICOZFFBN2SQTKNJEJRYGGW5PB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TorchAudio-Squim: Reference-less Speech Quality and Intelligibility measures in TorchAudio","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.AS","authors_text":"Anurag Kumar, Buye Xu, Ethan Henderson, Ke Tan, Pranay Manocha, Xiaohui Zhang, Zhaoheng Ni","submitted_at":"2023-04-04T01:44:24Z","abstract_excerpt":"Measuring quality and intelligibility of a speech signal is usually a critical step in development of speech processing systems. To enable this, a variety of metrics to measure quality and intelligibility under different assumptions have been developed. Through this paper, we introduce tools and a set of models to estimate such known metrics using deep neural networks. These models are made available in the well-established TorchAudio library, the core audio and speech processing library within the PyTorch deep learning framework. We refer to it as TorchAudio-Squim, TorchAudio-Speech QUality a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.01448","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/2304.01448/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":"2026-07-05T05:57:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"no4f3HA74P9TvZ2cvdGdAzeV1+k2bMxyW8sP0HjWBfNeXuh5K8JCBQatBgtPido1X49r1TihfsyodsMlm6fUAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T06:01:54.338829Z"},"content_sha256":"86b909de5ab67c3fa880b1622987b6598d4165bd1a545fd6012f57664982c650","schema_version":"1.0","event_id":"sha256:86b909de5ab67c3fa880b1622987b6598d4165bd1a545fd6012f57664982c650"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MICOZFFBN2SQTKNJEJRYGGW5PB/bundle.json","state_url":"https://pith.science/pith/MICOZFFBN2SQTKNJEJRYGGW5PB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MICOZFFBN2SQTKNJEJRYGGW5PB/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":"2026-07-18T06:01:54Z","links":{"resolver":"https://pith.science/pith/MICOZFFBN2SQTKNJEJRYGGW5PB","bundle":"https://pith.science/pith/MICOZFFBN2SQTKNJEJRYGGW5PB/bundle.json","state":"https://pith.science/pith/MICOZFFBN2SQTKNJEJRYGGW5PB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MICOZFFBN2SQTKNJEJRYGGW5PB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MICOZFFBN2SQTKNJEJRYGGW5PB","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":"8d0b92ea2c15c2f1cac18ea04b5c08d7e3812bbf5a18bf3a48d95215077bb2e2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-04-04T01:44:24Z","title_canon_sha256":"8fb814246c55dd9d0834669120b7c9908c9f738a958f11443150576e648ce5da"},"schema_version":"1.0","source":{"id":"2304.01448","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.01448","created_at":"2026-07-05T05:57:40Z"},{"alias_kind":"arxiv_version","alias_value":"2304.01448v1","created_at":"2026-07-05T05:57:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.01448","created_at":"2026-07-05T05:57:40Z"},{"alias_kind":"pith_short_12","alias_value":"MICOZFFBN2SQ","created_at":"2026-07-05T05:57:40Z"},{"alias_kind":"pith_short_16","alias_value":"MICOZFFBN2SQTKNJ","created_at":"2026-07-05T05:57:40Z"},{"alias_kind":"pith_short_8","alias_value":"MICOZFFB","created_at":"2026-07-05T05:57:40Z"}],"graph_snapshots":[{"event_id":"sha256:86b909de5ab67c3fa880b1622987b6598d4165bd1a545fd6012f57664982c650","target":"graph","created_at":"2026-07-05T05:57:40Z","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/2304.01448/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Measuring quality and intelligibility of a speech signal is usually a critical step in development of speech processing systems. To enable this, a variety of metrics to measure quality and intelligibility under different assumptions have been developed. Through this paper, we introduce tools and a set of models to estimate such known metrics using deep neural networks. These models are made available in the well-established TorchAudio library, the core audio and speech processing library within the PyTorch deep learning framework. We refer to it as TorchAudio-Squim, TorchAudio-Speech QUality a","authors_text":"Anurag Kumar, Buye Xu, Ethan Henderson, Ke Tan, Pranay Manocha, Xiaohui Zhang, Zhaoheng Ni","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-04-04T01:44:24Z","title":"TorchAudio-Squim: Reference-less Speech Quality and Intelligibility measures in TorchAudio"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.01448","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":"sha256:24e2c0853388bed59d62369ce51e960edc194b89a7e1e8228692fb02aace4d67","target":"record","created_at":"2026-07-05T05:57:40Z","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":"8d0b92ea2c15c2f1cac18ea04b5c08d7e3812bbf5a18bf3a48d95215077bb2e2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-04-04T01:44:24Z","title_canon_sha256":"8fb814246c55dd9d0834669120b7c9908c9f738a958f11443150576e648ce5da"},"schema_version":"1.0","source":{"id":"2304.01448","kind":"arxiv","version":1}},"canonical_sha256":"6204ec94a16ea509a9a92263831add7878f53cc8e1c8521b8926a266eb326590","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6204ec94a16ea509a9a92263831add7878f53cc8e1c8521b8926a266eb326590","first_computed_at":"2026-07-05T05:57:40.621615Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:57:40.621615Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nXz/SmdLC17KXqax44ZfzsLb1A79/1MEx0fh2JDvvqEgIE3c5rzmfwnikzj2TFovFZ7jgXpa8mpJrDowwqt0CA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:57:40.622050Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.01448","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:24e2c0853388bed59d62369ce51e960edc194b89a7e1e8228692fb02aace4d67","sha256:86b909de5ab67c3fa880b1622987b6598d4165bd1a545fd6012f57664982c650"],"state_sha256":"fde6a49197cd22350a8eca3164d98f3b5f2d939603d74c4fc8f6ae09492fbf05"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SP7D/4cZYRZZHLo7MjoEsbCFfniYOQyYbA+Y1pbd17gukYjT2WnQt7k8NW56ao33pa6kJHuzsHJcZCyfhADxDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-18T06:01:54.340722Z","bundle_sha256":"4086c97f61c3648d7209c5d2da822e4c5f57f6d7fc48369034f7c40490ffb40d"}}