Paper Citation Record · LEDGER

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments

As of 22 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2505.01632.

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

pith.paper-citation-record.v1
2505.01632 v1

Coverage vector

measured 34 of 34 reference resolution

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measured 34 of 34 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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External citation measurements

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Outbound references

Observation 1571b4be-089a-4382-9fca-ec88d77adfb4 · outbound

This paper cites Recent advances in end-to-end automatic speech recog- nition,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Recent advances in end-to-end automatic speech recog- nition,

Reference 1

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Observation cacaaad2-989a-496a-b9d4-5d40e52e590d · outbound

This paper cites Enhancing cochlear implant signal coding with scaled dot-product attention,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Enhancing cochlear implant signal coding with scaled dot-product attention,

Reference 2

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Observation c97a27bf-bb60-4c4e-ab8c-c1e81826f9a3 · outbound

This paper cites Deep learning- based coding strategy for improved cochlear implant speech perception in noisy environments,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Deep learning- based coding strategy for improved cochlear implant speech perception in noisy environments,

Reference 3

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Observation 317eb1d7-2430-4636-8ca4-c3b3506edf5f · outbound

This paper cites Automatic speech recognition using advanced deep learning approaches: A survey,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Automatic speech recognition using advanced deep learning approaches: A survey,

Reference 4

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This paper cites Advanced data exploitation in speech analysis: An overview,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Advanced data exploitation in speech analysis: An overview,

Reference 5

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This paper cites Automatic speech recognition with bert and ctc transformers: A review,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Automatic speech recognition with bert and ctc transformers: A review,

Reference 6

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Observation 55791c68-db6a-4d57-a5cd-0d9282963346 · outbound

This paper cites Artificial intelligence for cochlear implants: Review of strategies, challenges, and perspectives,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Artificial intelligence for cochlear implants: Review of strategies, challenges, and perspectives,

Reference 7

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Observation bc20b12b-88e0-41a6-b9e1-b9393c57070d · outbound

This paper cites Adversarial example detection techniques in speech recognition systems: A review,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Adversarial example detection techniques in speech recognition systems: A review,

Reference 8

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This paper cites Noise-robust speech recognition: A comparative analysis of lstm and cnn approaches,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Noise-robust speech recognition: A comparative analysis of lstm and cnn approaches,

Reference 9

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Observation 26dde7ac-7e44-41ab-8f29-b895218ff5a5 · outbound

This paper cites Deep residual learning for image recognition,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Deep residual learning for image recognition,

Reference 10

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Observation 8c8bb144-2497-4c70-8432-f1817a0fef26 · outbound

This paper cites Why resnet works? residuals generalize,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Why resnet works? residuals generalize,

Reference 11

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Observation de9cad52-9cfa-43a7-9b8a-4c0ab3d92e80 · outbound

This paper cites The pascal chime speech separation and recognition challenge,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments The pascal chime speech separation and recognition challenge,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:50.008220Z

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This paper cites Boosted acoustic model learning and hypotheses rescoring on the chime-3 task,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Boosted acoustic model learning and hypotheses rescoring on the chime-3 task,

Reference 13

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This paper cites A summary of the reverb challenge: state-of-the-art and remaining challenges in reverberant speech processing research,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments A summary of the reverb challenge: state-of-the-art and remaining challenges in reverberant speech processing research,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:49.980313Z

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Observation 5537e96b-8930-463f-8a07-afad07df9b9f · outbound

This paper cites Design of automatic speech recognition in noisy environments en- hancement and modification,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Design of automatic speech recognition in noisy environments en- hancement and modification,

Reference 15

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This paper cites Discrete wavelet denoising into mfcc for noise suppressive in automatic speech recognition system.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Discrete wavelet denoising into mfcc for noise suppressive in automatic speech recognition system

Reference 16

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Observation 3c229dd8-a049-4bbe-8103-c5ae97e49ec6 · outbound

This paper cites Enhancing iot security with cnn and lstm-based intrusion detection systems,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Enhancing iot security with cnn and lstm-based intrusion detection systems,

Reference 17

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This paper cites Comparison of pre- trained cnns for audio classification using transfer learning,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Comparison of pre- trained cnns for audio classification using transfer learning,

Reference 18

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This paper cites Blind joint cfo and sto estimation for fbmc/oqam systems.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Blind joint cfo and sto estimation for fbmc/oqam systems

Reference 19

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This paper cites Improving pretrained yamnet for enhanced speech command detection via transfer learning,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Improving pretrained yamnet for enhanced speech command detection via transfer learning,

Reference 20

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Observation 9ef45c47-2382-4a80-9042-6b31a1acf3e1 · outbound

This paper cites A comprehensive survey on transfer learning,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments A comprehensive survey on transfer learning,

Reference 21

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This paper cites Bird call recognition using deep convolutional neural network, resnet-50,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Bird call recognition using deep convolutional neural network, resnet-50,

Reference 22

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This paper cites A transfer residual neural network based on resnet-50 for detection of steel surface defects,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments A transfer residual neural network based on resnet-50 for detection of steel surface defects,

Reference 23

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This paper cites Deep transfer learning for automatic speech recognition: Towards better generalization,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Deep transfer learning for automatic speech recognition: Towards better generalization,

Reference 24

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This paper cites Deep learning-and transfer learning- based models for covid-19 detection using radiography images,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Deep learning-and transfer learning- based models for covid-19 detection using radiography images,

Reference 25

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This paper cites Resnet based on multi-feature attention mechanism for sound classification in noisy environments,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Resnet based on multi-feature attention mechanism for sound classification in noisy environments,

Reference 26

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Observation 4b1e8ae7-7ba5-4b69-969a-831d167e0055 · outbound

This paper cites Learning noise robust resnet-based speaker em- bedding for speaker recognition,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Learning noise robust resnet-based speaker em- bedding for speaker recognition,

Reference 27

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This paper cites Deep Residual Neural Networks for Audio Spoofing Detection.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Deep Residual Neural Networks for Audio Spoofing Detection

Reference 28

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This paper cites E2e-v2sresnet: Deep residual convolutional neural networks for end-to-end video driven speech synthesis,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments E2e-v2sresnet: Deep residual convolutional neural networks for end-to-end video driven speech synthesis,

Reference 29

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Observation d458c45d-d7b9-4569-a421-00bd96f2b90d · outbound

This paper cites Environmental sound classification based on transfer-learning techniques with multiple optimizers,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Environmental sound classification based on transfer-learning techniques with multiple optimizers,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:49.775293Z

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Observation a26ef002-077c-46db-a933-3fd29a9757ef · outbound

This paper cites Acoustic model- ing with densely connected residual network for multichannel speech recognition,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Acoustic model- ing with densely connected residual network for multichannel speech recognition,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:49.762466Z

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Observation d385f856-aed1-4e1a-8ae4-f944df1ee2b8 · outbound

This paper cites A customized residual neural network and bi-directional gated recurrent unit-based automatic speech recognition model,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments A customized residual neural network and bi-directional gated recurrent unit-based automatic speech recognition model,

Reference 32

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This paper cites Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey

Reference 33

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This paper cites Machine learning and vision transformers for thyroid carcinoma diagnosis: A review,.

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Machine learning and vision transformers for thyroid carcinoma diagnosis: A review,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:49.599750Z

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Pith citing papers

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