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

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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