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Paper Citation Record · LEDGER

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio

As of 23 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2501.04742.

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

pith.paper-citation-record.v1
2501.04742 v3

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:42:58.314569Z

measured 46 of 46 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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  • verified fuzzy40
  • unresolved3
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4faecd29-e92c-4109-9def-4e2df7a5b524 · outbound

This paper cites A review of automatic drum transcription,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio A review of automatic drum transcription,

Reference 1

Resolution
verified fuzzy
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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.

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Observation b5a2c6e1-c57f-4fca-ab50-b6658a1b8d76 · outbound

This paper cites Jointist: Joint Learning for Multi-instrument Transcription and Its Applications.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Jointist: Joint Learning for Multi-instrument Transcription and Its Applications

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:58.040565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6d35aa59-d866-4f9c-ac83-6ab6b62bd41a · outbound

This paper cites Unaligned supervision for automatic music transcription in the wild,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Unaligned supervision for automatic music transcription in the wild,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:59.217633Z

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.

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Observation a2eb73b2-b990-4818-a638-29838516bbef · outbound

This paper cites Acoustic features for determining goodness of tabla strokes,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Acoustic features for determining goodness of tabla strokes,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:59.192252Z

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.

source=pdf_text observed=2026-08-10T21:42:58.059532Z digest=sha256:09e06150c87d093e73242506a961ca9f20c2d88fabb61aaeca55fedd0b38a02a

Observation d2b4f9ac-94e3-4805-a3f4-98097cc764cb · outbound

This paper cites Four-way classification of tabla strokes with models adapted from automatic drum transcription,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Four-way classification of tabla strokes with models adapted from automatic drum transcription,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:59.175944Z

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.

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Observation 926ab7bc-0b79-4b02-804e-54d6ad44ebe3 · outbound

This paper cites Four-way classification of tabla strokes with transfer learning using western drums,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Four-way classification of tabla strokes with transfer learning using western drums,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:59.159667Z

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.

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Observation 554d4ffd-f44c-4adf-b0b7-e5ce81156f33 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:59.143550Z

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.

source=pdf_text observed=2026-08-10T21:42:58.079676Z digest=sha256:d4ec0d6945152a3b39ced02a375198244564b2913e7b2e46fd449b039f216f21

Observation e17f0efa-0cc2-4742-909d-3bf2cc5d7abb · outbound

This paper cites Sequence labeling with meta-learning,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Sequence labeling with meta-learning,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:59.127360Z

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.

source=pdf_text observed=2026-08-10T21:42:58.086498Z digest=sha256:9ba86a90e120ee9a61954f09a85e5be20e8db9601c8e9ca966302a658065f357

Observation 884609ed-3959-48ad-8939-158b4e3cd7ae · outbound

This paper cites Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:58.093896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 44946735-aa1f-4249-b855-0ca181e92eb2 · outbound

This paper cites Meta- lmtc: meta-learning for large-scale multi-label text classification,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Meta- lmtc: meta-learning for large-scale multi-label text classification,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:59.112321Z

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.

source=pdf_text observed=2026-08-10T21:42:58.100327Z digest=sha256:6776653ace94797a5e1a592971a5fd16b6fdf7f7ed84261a71dacd617941b64e

Observation b8daa926-27f0-4ad0-97bb-502bea71dcec · outbound

This paper cites Music matching based on rough longest common subsequence.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Music matching based on rough longest common subsequence

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:59.097394Z

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.

source=pdf_text observed=2026-08-10T21:42:58.106309Z digest=sha256:58c15af0ac554f8ddbe9e1aeebe825f7bd004e1d3bd60621f1fd9520b259d5b5

Observation c7109195-e188-4eb8-98c3-f2c328061bf7 · outbound

This paper cites Improved musical onset detection with convolutional neural networks,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Improved musical onset detection with convolutional neural networks,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:59.065778Z

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.

source=pdf_text observed=2026-08-10T21:42:58.117818Z digest=sha256:a29fb6bd06fbf147b638026c0866c69cc76451914683e40309848ef04f03441d

Observation dd363233-328b-4324-997f-380bc177f657 · outbound

This paper cites Drum transcription from polyphonic music with recurrent neural networks,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Drum transcription from polyphonic music with recurrent neural networks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:59.050037Z

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.

source=pdf_text observed=2026-08-10T21:42:58.123110Z digest=sha256:c4a95761dc01690caec6503540a688ee402287e0d43d2e9acf44704c48826898

Observation 2f019308-e128-41bc-a187-c5db6c360139 · outbound

This paper cites Drum transcription via joint beat and drum modelling using convolutional recurrent neural networks.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Drum transcription via joint beat and drum modelling using convolutional recurrent neural networks

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:59.034110Z

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.

source=pdf_text observed=2026-08-10T21:42:58.128662Z digest=sha256:8977a34aab3fd39d0078fd0688dd857f4c5ba456c7fbebc27cbfca9bb9073a24

Observation 966e733f-949a-419b-8c87-15952e0a0eba · outbound

This paper cites Towards multi-instrument drum transcription,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Towards multi-instrument drum transcription,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:59.019488Z

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.

source=pdf_text observed=2026-08-10T21:42:58.134095Z digest=sha256:268b625a1bb9ef556c00e92e1f082b7b9a62f46b9a6faab81684cd3d9295126f

Observation f503fc6e-bda7-4277-bda2-fbef7f00fd12 · outbound

This paper cites In-depth performance anal- ysis of the state-of-the-art algorithm for automatic drum transcription,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio In-depth performance anal- ysis of the state-of-the-art algorithm for automatic drum transcription,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:59.004728Z

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.

source=pdf_text observed=2026-08-10T21:42:58.139523Z digest=sha256:6b7d6cd5cf341cece2812cfa079f76acbc34e37a17c02a5218c15d1d1ef5be3f

Observation 65ed4493-a11a-4b73-862f-790cb65305ef · outbound

This paper cites Analyzing and reducing the synthetic-to-real transfer gap in Music Information Retrieval: the task of automatic drum transcription.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Analyzing and reducing the synthetic-to-real transfer gap in Music Information Retrieval: the task of automatic drum transcription

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:42:58.500532Z

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.

source=pdf_text observed=2026-08-10T21:42:58.144994Z digest=sha256:665846ef8e67747d34b50b0a28da614bd7b5dc9b4dedf3593bce4e19cc0536e9

Observation ae0502e9-389f-4bdb-b0a1-a804b007b192 · outbound

This paper cites Detecting tala Computationally in Polyphonic Context - A Novel Approach.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Detecting tala Computationally in Polyphonic Context - A Novel Approach

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:42:58.541633Z

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.

source=pdf_text observed=2026-08-10T21:42:58.150785Z digest=sha256:cc4ffd8e0afab4991b7f8da9a0e12ed53804c5fb02cc9e57fc758b4ba9f6b610

Observation 6107334f-5c0c-4ed2-9e0e-97a96c15456e · outbound

This paper cites Automatic labelling of tabla signals,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Automatic labelling of tabla signals,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.989357Z

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.

source=pdf_text observed=2026-08-10T21:42:58.156425Z digest=sha256:d944290bab9fadb5491409a5547172793fbfa8d797ea58b6adf3b787362c85d7

Observation 656b99c6-1573-41e9-9c78-ca7345b2a1e9 · outbound

This paper cites Segmentation and recognition of tabla strokes.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Segmentation and recognition of tabla strokes

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.973236Z

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.

source=pdf_text observed=2026-08-10T21:42:58.161907Z digest=sha256:2de80ec3bbf7e566e7d980af4355e2af9eb468af2fde4086915e3e7b52da4fb4

Observation 1bbcf41f-f905-4536-b202-c79c417d16a1 · outbound

This paper cites Tabla gyan: A system for realtime tabla recognition and resynthesis,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Tabla gyan: A system for realtime tabla recognition and resynthesis,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.956013Z

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.

source=pdf_text observed=2026-08-10T21:42:58.168387Z digest=sha256:13a7971b240506c243ec6a976ab15e1469fb3e61c3e4378b7ff88754f5e6ec69

Observation 9112b5e2-3c9b-4ffa-b3d2-5e2b98af7971 · outbound

This paper cites Acoustic features for determining goodness of tabla strokes.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Acoustic features for determining goodness of tabla strokes

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.939623Z

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.

source=pdf_text observed=2026-08-10T21:42:58.174095Z digest=sha256:5b8070d31b58608b5b697b1f7a8d703b6c604a062ff1638c65e2cc0c2bbe0ad9

Observation 48f9ad6e-3496-4603-98e7-3e923f1ec2b6 · outbound

This paper cites Discovery of syllabic percussion patterns in tabla solo recordings,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Discovery of syllabic percussion patterns in tabla solo recordings,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:59.081255Z

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.

source=pdf_text observed=2026-08-10T21:42:58.179918Z digest=sha256:e16071c6d8ea1fa0027ffc1a9c139bdf0ead4869b09f0af0564fc82c1f975936

Observation d0669681-7a1f-41b6-be8c-838f6d74bdba · outbound

This paper cites Few-shot acoustic event detection via meta learning,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Few-shot acoustic event detection via meta learning,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.924241Z

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.

source=pdf_text observed=2026-08-10T21:42:58.185590Z digest=sha256:9e4d8bd81e228899be8beabc171743aeb85a92ca355c73425edbdaec0add01af

Observation e0cd2e21-ca45-4ab7-ae17-8437cea9c202 · outbound

This paper cites Few-Shot Drum Transcription in Polyphonic Music.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Few-Shot Drum Transcription in Polyphonic Music

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:42:58.474250Z

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.

source=pdf_text observed=2026-08-10T21:42:58.191702Z digest=sha256:051c93c191469fd2c90b508fcdf93a20b77369283d21f1657ed728276d289e2c

Observation 6590206d-ceed-4894-9f4c-029391ebe9aa · outbound

This paper cites A mutual learning framework for few-shot sound event detection,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio A mutual learning framework for few-shot sound event detection,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.907593Z

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.

source=pdf_text observed=2026-08-10T21:42:58.198186Z digest=sha256:b6041ad555883b6aa46ea24f9fa043109204a7db8f4a2de5432c37e77ba5a6f0

Observation 465826ba-5359-4c45-a36f-ef6f26cffe2e · outbound

This paper cites Active few-shot learning for sound event detection.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Active few-shot learning for sound event detection

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.891281Z

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.

source=pdf_text observed=2026-08-10T21:42:58.204364Z digest=sha256:cc5b2692564411994ea5a2d9c7019b3383f0753ccb3c0fd4a1be15b702c64e39

Observation 07a6b821-e361-495f-8dfd-4d9e01c6d333 · outbound

This paper cites Few-shot emergency siren detection,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Few-shot emergency siren detection,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.874753Z

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.

source=pdf_text observed=2026-08-10T21:42:58.209982Z digest=sha256:0f0d6bc04565c73a3ac77f72394bfb559346119d9098f3afa69bb7bdbeee650d

Observation 564b8183-452f-4762-8333-a66c3c943b0a · outbound

This paper cites Learning to detect an animal sound from five examples,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Learning to detect an animal sound from five examples,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.859501Z

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.

source=pdf_text observed=2026-08-10T21:42:58.215420Z digest=sha256:cefbc8044150a2ed4c8978df8495cacc3a5a7fac732cdc4b3a6d769b33dbfd6b

Observation 4a3b45af-26a1-488e-b2f4-48255a9eb5f4 · outbound

This paper cites Real-time automatic drum transcription using dynamic few-shot learning,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Real-time automatic drum transcription using dynamic few-shot learning,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.841924Z

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.

source=pdf_text observed=2026-08-10T21:42:58.220943Z digest=sha256:493c3eb90bc02901255dd18b8d58d46674dd6e80adfe1ec8feea6a045ad60eeb

Observation 742cf77e-301b-4306-8f66-c755129859f9 · outbound

This paper cites Interactive singing melody extraction based on active adaptation,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Interactive singing melody extraction based on active adaptation,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.822438Z

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.

source=pdf_text observed=2026-08-10T21:42:58.226314Z digest=sha256:8f467712503e85f84eba84f978c9c072bf0086eddff1dd2d4830bf50df662ab3

Observation 440b0523-5397-458c-9e8a-b311cf67ce1a · outbound

This paper cites A generalized bayesian model for tracking long metrical cycles in acoustic music signals,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio A generalized bayesian model for tracking long metrical cycles in acoustic music signals,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.806270Z

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.

source=pdf_text observed=2026-08-10T21:42:58.231900Z digest=sha256:a044fd74eeff53b8a6b567ed0acda7cb6b85123ace99cac8b8e4f2b7bb45a6a3

Observation cc6446a2-ba1a-4106-a99f-6459ec09d8dd · outbound

This paper cites A data-driven bayesian approach to automatic rhythm analysis of indian art music,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio A data-driven bayesian approach to automatic rhythm analysis of indian art music,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.789841Z

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.

source=pdf_text observed=2026-08-10T21:42:58.237958Z digest=sha256:40544eace7116dcf011faec3a4e4c9dbeae406d075772a8a436fb7d0a762dabe

Observation 8c43bb1f-7069-44f5-acba-db0803bfea9f · outbound

This paper cites Motif spotting in an alapana in carnatic music.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Motif spotting in an alapana in carnatic music

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.772978Z

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.

source=pdf_text observed=2026-08-10T21:42:58.243975Z digest=sha256:ea0ecb20df80f580971d6a25049d6a03f7fa5e1b176fd51fc9b2afa6a7c1be6a

Observation d01ca7e8-a946-4f89-82e3-f0d81eb59bed · outbound

This paper cites Raga verification in carnatic music using longest common segment set.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Raga verification in carnatic music using longest common segment set

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.755231Z

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.

source=pdf_text observed=2026-08-10T21:42:58.249881Z digest=sha256:31641c602b71ffa6f24085df98af44061259784d72fef34ea0140589c09b720a

Observation 39d74755-7889-4f75-896f-a2a3383ad2cd · outbound

This paper cites Sound event detection: A tutorial,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Sound event detection: A tutorial,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:58.255133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:58.255133Z digest=sha256:63d9e5898c6bf55c42a5920b2532b4c21f9f56b156641144f05f2752953acc3f

Observation 543a7632-0bd4-466f-a127-c757731c3635 · outbound

This paper cites The performance of sequence alignment algorithms,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio The performance of sequence alignment algorithms,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.725063Z

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.

source=pdf_text observed=2026-08-10T21:42:58.260590Z digest=sha256:d0fa7492e1c29e6bb5ebba98b7bfb6765c647b6cae57ca4bb93dc3e287351e0e

Observation 50a7fd91-71ba-4629-a7f4-7f362147a1a6 · outbound

This paper cites Adtof: A large dataset of non-synthetic music for automatic drum transcription,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Adtof: A large dataset of non-synthetic music for automatic drum transcription,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.707928Z

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.

source=pdf_text observed=2026-08-10T21:42:58.266093Z digest=sha256:7fee393daa29289936f4a15adf8d541ca07ca2ce0c06e42e80b66757fb4a8dfe

Observation 8b3f0ba4-52bd-4860-93d2-2937c0ee7feb · outbound

This paper cites Real-time transcription and separation of drum recordings based on nmf decomposition.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Real-time transcription and separation of drum recordings based on nmf decomposition

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.690214Z

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.

source=pdf_text observed=2026-08-10T21:42:58.271669Z digest=sha256:32117f5d35d7ca06b26c03188ef8c2e694a9b2947b8f4ce532111d4b3fd1da22

Observation e88c2952-80fe-4f30-b557-c755305a2030 · outbound

This paper cites Enst-drums: an extensive audio-visual database for drum signals processing,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Enst-drums: an extensive audio-visual database for drum signals processing,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.673208Z

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.

source=pdf_text observed=2026-08-10T21:42:58.277161Z digest=sha256:41c902a4d7d0f875145cce79386e238ccb9a45a45a04e6f321587b7033d0b89e

Observation 281932ec-1e0c-48f4-b191-3bab9acf0a56 · outbound

This paper cites Mdb drums: An annotated subset of medleydb for automatic drum transcription,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Mdb drums: An annotated subset of medleydb for automatic drum transcription,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.656305Z

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.

source=pdf_text observed=2026-08-10T21:42:58.286143Z digest=sha256:54990e175eb6cb5e9ba27b5f8cb63cfccef6ae985a9ed48107554110cb505313

Observation 74778de5-e097-471a-95a7-a58d87efc231 · outbound

This paper cites Modal analysis and transcription of strokes of the mridangam using non-negative matrix factorization,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Modal analysis and transcription of strokes of the mridangam using non-negative matrix factorization,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.639402Z

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.

source=pdf_text observed=2026-08-10T21:42:58.292098Z digest=sha256:89b70ea4d06dba3a9d4da8e21f5a3f29481fc6cc59e1c3eed13b3705972114da

Observation fb213365-eae7-43a8-b9dd-562c08d016a7 · outbound

This paper cites Tonic- independent stroke transcription of the mridangam,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Tonic- independent stroke transcription of the mridangam,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.624876Z

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.

source=pdf_text observed=2026-08-10T21:42:58.298211Z digest=sha256:550807f68e9a7b516958ea7f89cfd85e89fc19a0eed31fe3aa7ef9966fe4e2c3

Observation a3fa871f-3676-41d4-9e74-25353a5e9433 · outbound

This paper cites A tutorial on onset detection in music signals,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio A tutorial on onset detection in music signals,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.609055Z

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.

source=pdf_text observed=2026-08-10T21:42:58.303463Z digest=sha256:1866f88fbe9de93fd91a822263985abb164e73d8666282d1ff477119280ed409

Observation 58f734d5-b80b-471a-aee6-cdea2961c595 · outbound

This paper cites Drum transcription using partially fixed non-negative matrix factorization,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Drum transcription using partially fixed non-negative matrix factorization,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.593083Z

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.

source=pdf_text observed=2026-08-10T21:42:58.309087Z digest=sha256:9d205d0dea9bf0cb607a95cc3aeac2a2063f2e6d078456b98fb5f32c5b9de622

Observation 159a954e-95d1-48e7-bfa3-4019fbca9bf3 · outbound

This paper cites Hybrid transformers for music source separation,.

Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio Hybrid transformers for music source separation,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:58.575922Z

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.

source=pdf_text observed=2026-08-10T21:42:58.314569Z digest=sha256:241485535932bc063d7bb443470867a58197afcc8a8b0d858df6f0053ddeae95

Pith citing papers

No inbound Pith citation observations are available.