Paper Citation Record · LEDGER

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds

As of 23 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2505.23509.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.23509 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:48:15.208113Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:48:12.576291Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T12:48:15.322444Z

Reference resolution

31 of 31 outbound references displayed

verified exact1
verified fuzzy27
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8544dcc9-e87f-4db7-9eb8-e673504d47a4 · outbound

This paper cites A critical step in developing powerful audio deep neu- ral networks (DNNs) is converting audio signals into meaning- ful acoustic feature representations.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds A critical step in developing powerful audio deep neu- ral networks (DNNs) is converting audio signals into meaning- ful acoustic feature representations

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:21.659608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0aadf0c6-816f-41b8-8f4b-384280ddac7f · outbound

This paper cites Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:48:15.415069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f2750332-72bc-4a06-bf00-a49fa2093d16 · outbound

This paper cites an unresolved cited work.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:48:21.355547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 24d82cb6-04c9-4e60-9ef4-d5c3262ff414 · outbound

This paper cites an unresolved cited work.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:48:21.029035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8675b5d3-a907-408a-acc6-b2e0b0a43027 · outbound

This paper cites an unresolved cited work.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:48:20.782018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fe22b275-bcc3-4752-a3a7-eac1d6bcf3e4 · outbound

This paper cites A survey of audio classification using deep learning,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds A survey of audio classification using deep learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:20.618642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c3ad048-3e4c-406b-9f9f-526af2a1075f · outbound

This paper cites AST: Audio spectrogram transformer,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds AST: Audio spectrogram transformer,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:20.457969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4d6b88ac-86f1-4ff6-b5ae-eed6d1bcaed5 · outbound

This paper cites Audio set: An ontology and human-labeled dataset for audio events,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Audio set: An ontology and human-labeled dataset for audio events,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:20.298087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1a8f05df-e420-4517-8438-6cb96e23429b · outbound

This paper cites CNN architectures for large-scale audio classification,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds CNN architectures for large-scale audio classification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:20.108462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5e6ade39-ae94-47c4-a668-e71ca072b41d · outbound

This paper cites Richard, V.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Richard, V

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:19.940343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 40e6dc28-1cd9-4d32-9a18-9f5a3ab4abbb · outbound

This paper cites Robust DOA esti- mation from deep acoustic imaging,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Robust DOA esti- mation from deep acoustic imaging,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:19.766823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ea9ece3b-248c-422b-b87c-8eede74c9d04 · outbound

This paper cites A review of differentiable digital signal processing for music and speech synthesis,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds A review of differentiable digital signal processing for music and speech synthesis,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:19.583950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7f2f58c9-283b-4aca-960a-a70352002351 · outbound

This paper cites The modulation spectrogram: In pursuit of an invariant representation of speech,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds The modulation spectrogram: In pursuit of an invariant representation of speech,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:19.201080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 877c4e90-4e92-45e6-b052-e052aa694581 · outbound

This paper cites Speech intel- ligibility prediction using spectro-temporal modulation analysis,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Speech intel- ligibility prediction using spectro-temporal modulation analysis,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:18.957448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dcebb7a8-0ab8-4381-9f6a-33e0796c1f89 · outbound

This paper cites Com- paring different flavors of spectro-temporal features for ASR.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Com- paring different flavors of spectro-temporal features for ASR

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:18.683905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8e4bf80a-5f0b-4b2b-9399-418f04723c79 · outbound

This paper cites Automatic mu- sic genre classification based on modulation spectral analysis of spectral and cepstral features,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Automatic mu- sic genre classification based on modulation spectral analysis of spectral and cepstral features,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:18.486388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 356e24d9-5f44-49f9-8696-51733ebf700c · outbound

This paper cites Discrimination of speech from nonspeech based on multiscale spectro-temporal modulations,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Discrimination of speech from nonspeech based on multiscale spectro-temporal modulations,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:18.289491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 69ea92cb-6151-4cd2-8565-9a4b2a858655 · outbound

This paper cites Distinct sensitivity to spectrotemporal modulation supports brain asym- metry for speech and melody,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Distinct sensitivity to spectrotemporal modulation supports brain asym- metry for speech and melody,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:18.124490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b5adde92-8f18-4045-ad0d-a933daca95a4 · outbound

This paper cites Spectrotemporal modulation provides a unifying framework for auditory cortical asymmetries,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Spectrotemporal modulation provides a unifying framework for auditory cortical asymmetries,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:17.831800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 835fff49-c290-46c4-a377-b5dc8068f740 · outbound

This paper cites Spectro-temporal acoustical markers differenti- ate speech from song across cultures,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Spectro-temporal acoustical markers differenti- ate speech from song across cultures,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:17.576315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 21b5f124-a30b-4780-a68e-532498bba7ad · outbound

This paper cites The human auditory system uses amplitude modulation to distinguish music from speech,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds The human auditory system uses amplitude modulation to distinguish music from speech,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:17.472229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4242752c-6a66-456a-a2c9-c71f7ea44354 · outbound

This paper cites Distinct cortical pathways for music and speech revealed by hypothesis-free voxel decomposition,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Distinct cortical pathways for music and speech revealed by hypothesis-free voxel decomposition,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:17.286093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 90697415-7289-4fb8-8c05-010c665b4efd · outbound

This paper cites Hybrid Transformers for Music Source Separation,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Hybrid Transformers for Music Source Separation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:17.082844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 76195d72-4c58-4a45-9e20-519b6659d383 · outbound

This paper cites SONYC Urban Sound Tagging (SONYC-UST): a multilabel dataset from an urban acoustic sen- sor network,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds SONYC Urban Sound Tagging (SONYC-UST): a multilabel dataset from an urban acoustic sen- sor network,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:16.930375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2a17fc99-58f8-456f-831c-f80d8b0c6432 · outbound

This paper cites eBird: A citizen-based bird observation network in the biological sciences,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds eBird: A citizen-based bird observation network in the biological sciences,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:16.682786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1245d9cd-6b81-4dc6-87fa-a517e5e32531 · outbound

This paper cites The cortical organization of speech processing,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds The cortical organization of speech processing,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:16.463533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f0ad36d-613d-47db-8681-092911200ac5 · outbound

This paper cites Facing Imbalanced Data Recommendations for the Use of Performance Metrics,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Facing Imbalanced Data Recommendations for the Use of Performance Metrics,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:16.270418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 86b0af17-e0d9-46a4-a594-1bca5ffc8f7c · outbound

This paper cites Survey on deep learning with class imbalance,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Survey on deep learning with class imbalance,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:16.114290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9801d646-ddce-47f4-9124-7696b9d7ee52 · outbound

This paper cites Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:15.922809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 10cc63e4-d7eb-4b2f-b089-2da056a4b2ed · outbound

This paper cites Reconstructing the spectrotem- poral modulations of real-life sounds from fMRI response pat- terns,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Reconstructing the spectrotem- poral modulations of real-life sounds from fMRI response pat- terns,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:15.768965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5d5eec24-f548-4559-977b-dfe74a136534 · outbound

This paper cites Decoding spectrotemporal features of overt and covert speech from the hu- man cortex,.

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Decoding spectrotemporal features of overt and covert speech from the hu- man cortex,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:15.598584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 0aadf0c6-816f-41b8-8f4b-384280ddac7f · inbound