Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier | Paper Citation Record

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This paper cites an unresolved cited work.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Unresolved cited work

Reference 1

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This paper cites The proposed MEE can extract discriminative embeddings by fusing features output by multiple blocks of the AST encoder.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier The proposed MEE can extract discriminative embeddings by fusing features output by multiple blocks of the AST encoder

Reference 2

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This paper cites As a result, the overfitting issue caused by few training samples is expected to be alleviated.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier As a result, the overfitting issue caused by few training samples is expected to be alleviated

Reference 3

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This paper cites Results show that our method exceeds previous methods in Average Accuracy (AA) and Performance Degradation rate (PD), and has advantage over most of them in complexity.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Results show that our method exceeds previous methods in Average Accuracy (AA) and Performance Degradation rate (PD), and has advantage over most of them in complexity

Reference 4

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Observation 374bdabd-d376-406e-b30a-789b3235004a · outbound

This paper cites an unresolved cited work.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Unresolved cited work

Reference 5

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This paper cites Experimental Datasets Table 1 lists detailed information of the LS-100, FSC-89, and NSynth-100.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Experimental Datasets Table 1 lists detailed information of the LS-100, FSC-89, and NSynth-100

Reference 6

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This paper cites Based on the experimental results and analyses, we can draw three conclusions.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Based on the experimental results and analyses, we can draw three conclusions

Reference 7

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This paper cites 10-34), and Guangdong S&T project (2023A0505050116), and Guangdong provincial key laboratory of human digital twin (2022B1212010004).

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier 10-34), and Guangdong S&T project (2023A0505050116), and Guangdong provincial key laboratory of human digital twin (2022B1212010004)

Reference 8

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This paper cites Sound event detection with depthwise separable and dilated convolutions,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Sound event detection with depthwise separable and dilated convolutions,

Reference 9

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Observation 9c56f0b6-1fc9-4ef0-bcc2-1e7d01857b5f · outbound

This paper cites Domestic activities clustering from audio recordings using convolutional capsule autoencoder network,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Domestic activities clustering from audio recordings using convolutional capsule autoencoder network,

Reference 10

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Observation e5deab7f-c7a9-4b03-a145-c4958430223b · outbound

This paper cites Acoustic event diarization in TV/movie audios using deep embedding and integer linear programming,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Acoustic event diarization in TV/movie audios using deep embedding and integer linear programming,

Reference 11

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Observation 65de5447-a7d6-4a65-b111-6ac50ee5d86b · outbound

This paper cites Using multi-stream hierarchical deep neural network to extract deep audio feature for acoustic events detection,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Using multi-stream hierarchical deep neural network to extract deep audio feature for acoustic events detection,

Reference 12

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This paper cites Anomalous sound detection using deep audio representation and a BLSTM network for audio surveillance of roads,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Anomalous sound detection using deep audio representation and a BLSTM network for audio surveillance of roads,

Reference 13

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Observation fbf96a46-50d5-47e0-a14d-0150ac5562d9 · outbound

This paper cites Acoustic scene classification using aggregation of two-scale deep embeddings,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Acoustic scene classification using aggregation of two-scale deep embeddings,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:27.537937Z

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Observation 205fcdc5-45d1-40e5-bb64-d8114a37c748 · outbound

This paper cites Acoustic scene classification using deep audio feature and BLSTM network,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Acoustic scene classification using deep audio feature and BLSTM network,

Reference 15

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This paper cites Low-complexity acoustic scene classification using deep space separable distillation module and multi-label learning,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Low-complexity acoustic scene classification using deep space separable distillation module and multi-label learning,

Reference 16

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This paper cites Low-complexity acoustic scene classification using parallel attention-convolution network,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Low-complexity acoustic scene classification using parallel attention-convolution network,

Reference 17

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Observation cdf1fbac-3db5-400f-8dfb-7ee7db1b989d · outbound

This paper cites Violence detection in videos based on fusing visual and audio information,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Violence detection in videos based on fusing visual and audio information,

Reference 18

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This paper cites Predicting skeleton trajectories using a Skeleton‑Transformer for video anomaly detection,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Predicting skeleton trajectories using a Skeleton‑Transformer for video anomaly detection,

Reference 19

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This paper cites Detecting video anomalies by jointly utilizing appearance and skeleton information,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Detecting video anomalies by jointly utilizing appearance and skeleton information,

Reference 20

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This paper cites Lightweight speaker verification using transformation module with feature grouping and fusion,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Lightweight speaker verification using transformation module with feature grouping and fusion,

Reference 21

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This paper cites Speaker verification using attentive multi-scale convolutional recurrent network,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Speaker verification using attentive multi-scale convolutional recurrent network,

Reference 22

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This paper cites Speaker clustering by co-optimizing deep representation learning and cluster estimation,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Speaker clustering by co-optimizing deep representation learning and cluster estimation,

Reference 23

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This paper cites Cross-domain few-shot open-set keyword spotting using keyword adaptation and prototype reprojection,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Cross-domain few-shot open-set keyword spotting using keyword adaptation and prototype reprojection,

Reference 24

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This paper cites Deep enhancement spotting network for low-complexity keyword spotting in noisy environments,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Deep enhancement spotting network for low-complexity keyword spotting in noisy environments,

Reference 25

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This paper cites A stage match for query-by-example spoken term detection based on structure information of query,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier A stage match for query-by-example spoken term detection based on structure information of query,

Reference 26

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This paper cites A novel re-weighted CTC loss for data imbalance in speech keyword spotting,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier A novel re-weighted CTC loss for data imbalance in speech keyword spotting,

Reference 27

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This paper cites Data-centric methods for environmental sound classification with limited labels,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Data-centric methods for environmental sound classification with limited labels,

Reference 28

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This paper cites ASiT: local-global audio spectrogram vision transformer for event classification,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier ASiT: local-global audio spectrogram vision transformer for event classification,

Reference 29

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This paper cites Automated data augmentation for audio classification,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Automated data augmentation for audio classification,

Reference 30

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This paper cites On the choice of the optimal temporal support for audio classification with pre-trained embeddings,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier On the choice of the optimal temporal support for audio classification with pre-trained embeddings,

Reference 31

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This paper cites Sound event detection via dilated convolutional recurrent neural networks,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Sound event detection via dilated convolutional recurrent neural networks,

Reference 32

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This paper cites On the transferability of large-scale self-supervision to few-shot audio classification,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier On the transferability of large-scale self-supervision to few-shot audio classification,

Reference 33

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This paper cites Few-shot anomalous sound detection based on anomaly map estimation using pseudo abnormal data,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Few-shot anomalous sound detection based on anomaly map estimation using pseudo abnormal data,

Reference 34

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This paper cites Learning from taxonomy: multi-label few-shot classification for everyday sound recognition,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Learning from taxonomy: multi-label few-shot classification for everyday sound recognition,

Reference 35

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This paper cites Zero- and few-shot sound event localization and detection,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Zero- and few-shot sound event localization and detection,

Reference 36

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Observation 845f158f-1195-4d40-a542-d7f7795e2541 · outbound

This paper cites Class-incremental learning for multi- label audio classification,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Class-incremental learning for multi- label audio classification,

Reference 37

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Observation 8d4c1e64-82c1-4fad-97fa-56b87bb5156b · outbound

This paper cites An efficient incremental learning algorithm for sound classification,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier An efficient incremental learning algorithm for sound classification,

Reference 38

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This paper cites Class-incremental grouping network for continual audio-visual learning,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Class-incremental grouping network for continual audio-visual learning,

Reference 39

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This paper cites Few shot continual learning for audio classification,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Few shot continual learning for audio classification,

Reference 40

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This paper cites Few-shot class- incremental audio classification using dynamically expanded classifier with self-attention modified prototypes,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Few-shot class- incremental audio classification using dynamically expanded classifier with self-attention modified prototypes,

Reference 41

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This paper cites Few-shot class-incremental audio classification via discriminative prototype learning,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Few-shot class-incremental audio classification via discriminative prototype learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:22.158515Z

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Observation 033e704e-d6d8-46a4-ae51-0e53c904fdbd · outbound

This paper cites Few-shot class-incremental audio classification using adaptively-refined prototypes,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Few-shot class-incremental audio classification using adaptively-refined prototypes,

Reference 43

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Observation b32183da-1b36-4065-9c7e-6124d3deb300 · outbound

This paper cites Few-shot class-incremental audio classification using stochastic classifier,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Few-shot class-incremental audio classification using stochastic classifier,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:21.725404Z

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Observation 40a29960-a4a3-4fe4-a093-d514489d9074 · outbound

This paper cites Few-shot class-incremental audio classification with adaptive mitigation of forgetting and overfitting,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Few-shot class-incremental audio classification with adaptive mitigation of forgetting and overfitting,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:21.408703Z

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Observation bec24193-1e9f-47d0-8d1c-bb24eaed2da9 · outbound

This paper cites Fully few-shot class-incremental audio classification using expandable dual-embedding extractor,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Fully few-shot class-incremental audio classification using expandable dual-embedding extractor,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:21.055511Z

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Observation eacb6032-24f9-4a53-b570-8a1c51abea85 · outbound

This paper cites Fully few-shot class-incremental audio classification with adaptive improvement of stability and plasticity,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Fully few-shot class-incremental audio classification with adaptive improvement of stability and plasticity,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:20.920529Z

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 cd422e26-a36a-482b-b307-37298fbd99fc · outbound

This paper cites AST: Audio Spectrogram Transformer,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier AST: Audio Spectrogram Transformer,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:20.804006Z

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 68d6a77e-9e7b-4116-81a1-bd5f63e10086 · outbound

This paper cites Acoustic scene clustering using joint optimization of deep embedding learning and clustering iteration,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Acoustic scene clustering using joint optimization of deep embedding learning and clustering iteration,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:20.660438Z

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 8395e6a0-1e87-4fa2-ba4d-54d38b97238c · outbound

This paper cites Attention is all you need,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Attention is all you need,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:20.583017Z

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 08473a18-c6a0-49bd-af21-a8ccfe0c64d8 · outbound

This paper cites Continual learning with pre-trained models: a survey,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Continual learning with pre-trained models: a survey,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:20.447790Z

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 18417c26-247a-43c2-92f9-afdc211b79fb · outbound

This paper cites RanPAC: random projections and pre-trained models for continual learning,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier RanPAC: random projections and pre-trained models for continual learning,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:20.252117Z

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 9f31c495-1415-428c-9699-c093f1dcf109 · outbound

This paper cites Pattern recognition and machine learning,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Pattern recognition and machine learning,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:20.103348Z

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 f217ad79-a85c-422e-aa9f-d31a2aa0871f · outbound

This paper cites Ridge regression: biased estimation for nonorthogonal problems,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Ridge regression: biased estimation for nonorthogonal problems,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:19.957618Z

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 270c8ef1-8fcf-4e54-991c-7bad8a288096 · outbound

This paper cites Learning without memorizing,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Learning without memorizing,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:19.844149Z

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 4e53b639-21f5-4f57-b163-bb96fc006638 · outbound

This paper cites iCaRL: Incremental classifier and representation learning,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier iCaRL: Incremental classifier and representation learning,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:19.717702Z

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 c2fe4ceb-65d2-41fc-9e4f-2842bb8cd9bf · outbound

This paper cites Few shot incremental learning with continually evolved classifiers,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Few shot incremental learning with continually evolved classifiers,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:19.558541Z

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 025e0d5c-6008-400d-954c-05f991d52042 · outbound

This paper cites Forward compatible few-shot class incremental learning,.

Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Forward compatible few-shot class incremental learning,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:19.443707Z

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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