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Paper Citation Record · LEDGER

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer

As of 11 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2501.15496.

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

pith.paper-citation-record.v1
2501.15496 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

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measured 77 of 77 standing notices

One-hop event checks from named stored sources.

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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

77 of 77 outbound references displayed

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  • verified fuzzy45
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 36ed4a95-0574-4cd2-9bf5-7251d64b32e5 · outbound

This paper cites Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups,

Reference 1

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Observation 411b1b3c-a65f-42db-be25-5777aed80af1 · outbound

This paper cites Conversational speech transcription using context-dependent deep neural networks,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Conversational speech transcription using context-dependent deep neural networks,

Reference 2

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Observation 5df40268-68fb-4d90-8f5d-22e23a6b05c3 · outbound

This paper cites A regression approach to speech enhancement based on deep neural networks,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A regression approach to speech enhancement based on deep neural networks,

Reference 3

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Observation 6e3d22fe-a1d4-4b71-a32c-dce1d0226c9f · outbound

This paper cites Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,

Reference 4

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Observation de73e844-6c14-4af2-bd41-c54dd5dbe92b · outbound

This paper cites Robust speech recognition via large-scale weak super- vision,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Robust speech recognition via large-scale weak super- vision,

Reference 5

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Observation fd343b04-2296-4fec-a6c3-0400057d9897 · outbound

This paper cites A multi-device dataset for urban acoustic scene classification.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A multi-device dataset for urban acoustic scene classification

Reference 6

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Observation bef7cf9a-8bb4-43f6-b34c-d8f8e496f71d · outbound

This paper cites Unsupervised adversarial domain adaptation for acoustic scene classification.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Unsupervised adversarial domain adaptation for acoustic scene classification

Reference 7

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Observation fa55c019-cf30-4b60-8c73-53f8e62a0718 · outbound

This paper cites Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping

Reference 8

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Observation 27a854c7-ade8-4332-bbf1-1bc7b538ef96 · outbound

This paper cites Novel augmentation schemes for device robust acoustic scene classification.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Novel augmentation schemes for device robust acoustic scene classification

Reference 9

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Observation aec46a42-dd81-459a-9662-08d80d96ec7e · outbound

This paper cites Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation

Reference 10

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Observation 4f64c216-ec2e-4029-a55f-994fc2231c00 · outbound

This paper cites Domain generalization with relaxed instance frequency-wise normalization for multi-device acoustic scene classification,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Domain generalization with relaxed instance frequency-wise normalization for multi-device acoustic scene classification,

Reference 11

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Observation 4098157c-af4e-4e07-8777-d180b4a17b43 · outbound

This paper cites Device-robust acoustic scene classification via impulse response augmentation,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Device-robust acoustic scene classification via impulse response augmentation,

Reference 12

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Observation 68a2f9b0-8324-49ad-bdf7-9d8759992795 · outbound

This paper cites Multi-level distance embedding learning for robust acoustic scene classification with unseen devices,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Multi-level distance embedding learning for robust acoustic scene classification with unseen devices,

Reference 13

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Observation 380f7bff-ae1e-4825-88f9-3931b416c3db · outbound

This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 14

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This paper cites Max- imum a posteriori adaptation of network parameters in deep models,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Max- imum a posteriori adaptation of network parameters in deep models,

Reference 15

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This paper cites Overcoming catastrophic forgetting in neural networks,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Overcoming catastrophic forgetting in neural networks,

Reference 16

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Unresolved cited work

Reference 17

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Observation 8a5c2c01-2923-44db-b0e7-22e0ff319f73 · outbound

This paper cites Why and when can deep-but not shallow-networks avoid the curse of dimension- ality: a review,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Why and when can deep-but not shallow-networks avoid the curse of dimension- ality: a review,

Reference 18

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Observation 8f85d234-ffe5-410b-90b9-43830e590feb · outbound

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Unresolved cited work

Reference 19

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This paper cites On adaptive decision rules and decision parameter adaptation for automatic speech recognition,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer On adaptive decision rules and decision parameter adaptation for automatic speech recognition,

Reference 20

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This paper cites Maximum a posteriori estimation for multivariate gaussian mixture observations of markov chains,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Maximum a posteriori estimation for multivariate gaussian mixture observations of markov chains,

Reference 21

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This paper cites Bayesian unsupervised batch and online speaker adaptation of activation function parameters in deep models for automatic speech recognition,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Bayesian unsupervised batch and online speaker adaptation of activation function parameters in deep models for automatic speech recognition,

Reference 22

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Unresolved cited work

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Joint maximum a posteriori adaptation of transformation and hmm parameters,

Reference 24

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer On-line adaptive learning of the continuous density hidden markov model based on approximate recursive bayes estimate,

Reference 25

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A structural bayes approach to speaker adaptation,

Reference 26

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Hierarchical bayesian combination of plug-in maximum a posteriori decoders in deep neural networks-based speech recognition and speaker adaptation,

Reference 27

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This paper cites Probabilistic inference using markov chain monte carlo methods,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Probabilistic inference using markov chain monte carlo methods,

Reference 28

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Unresolved cited work

Reference 29

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Variational algorithms for approximate bayesian inference,

Reference 30

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Variational Bayesian Inference with Stochastic Search

Reference 31

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Variational bayesian estimation and clustering for speech recognition,

Reference 32

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Auto-Encoding Variational Bayes

Reference 33

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This paper cites A variational bayesian approach to learning latent variables for acoustic knowledge transfer,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A variational bayesian approach to learning latent variables for acoustic knowledge transfer,

Reference 34

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Observation 0e9fb7ea-63b6-4080-833c-4f8cee9ddae1 · outbound

This paper cites Variational Information Bottleneck for Effective Low-resource Audio Classification.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Variational Information Bottleneck for Effective Low-resource Audio Classification

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 156a9e72-b5fd-469b-9450-3e152283162f · outbound

This paper cites Learning small-size dnn with output-distribution-based criteria,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Learning small-size dnn with output-distribution-based criteria,

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.429680Z digest=sha256:78ced859af83fb0546c5954e1a99995124e084dcf4c796efa00e61745a377a3a

Observation e31a564e-7acc-458b-9fbb-e07d486e716f · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Distilling the Knowledge in a Neural Network

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:18:44.434234Z digest=sha256:23a691d518b0d7ef159602765789408f2b1b6db966ae1ecaa54daeab340a4282

Observation b4a47e24-253e-4108-9446-ee7d5f297096 · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer FitNets: Hints for Thin Deep Nets

Reference 38

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source=pdf_text observed=2026-08-10T14:18:44.439186Z digest=sha256:53a5d15eede43e69908440775de29e1b6a51a7013df1ae8ae87f8ea2941fd75c

Observation 7031fadd-10f7-4ca3-a6d3-2e12cceff3f5 · outbound

This paper cites Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

Reference 39

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source=pdf_text observed=2026-08-10T14:18:44.444115Z digest=sha256:35d2bfc8131c474915721941a740b8964018c4af5cebe3140bca5e52a1d80d6a

Observation 968cf0ec-9c01-4427-ad1c-aa7843fc19c2 · outbound

This paper cites A comprehensive overhaul of feature distillation,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A comprehensive overhaul of feature distillation,

Reference 40

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raw_fallback, observed 2026-08-10T14:18:45.531148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.449011Z digest=sha256:c1376179ff05c08fb33c4a3f4905533a541df13ffe912cf47d56de454c530e04

Observation 91dd7aac-a63d-4d6c-8b8b-bb8d72e02cdc · outbound

This paper cites Practical variational inference for neural networks,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Practical variational inference for neural networks,

Reference 42

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raw_fallback, observed 2026-08-10T14:18:45.496744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.458787Z digest=sha256:028d7c47ccd6544e5b9ee4963df899915d259d5dcafea9ab8d9a3b63c52f66b3

Observation 3f234866-4359-4604-99ee-5f8d4da07c75 · outbound

This paper cites Unifying distillation and privileged information.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Unifying distillation and privileged information

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:18:44.464414Z digest=sha256:898a3b5979169a6ea02f73562efbe9add884a2beeb8ca42bd24cfd880217a193

Observation 3bb53da9-bcfe-4fcf-b5a7-e24617e19e12 · outbound

This paper cites Learning using privileged information: similarity control and knowledge transfer.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Learning using privileged information: similarity control and knowledge transfer

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-10T14:18:45.478128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.469561Z digest=sha256:270ba72a02b7885f31b64c506b2ee6279595ea4b738183c9067e030ac26e137e

Observation 59007c43-aa39-4bd5-8f9d-bf79e3f2a421 · outbound

This paper cites Large-Scale Domain Adaptation via Teacher-Student Learning.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Large-Scale Domain Adaptation via Teacher-Student Learning

Reference 45

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T14:18:44.474212Z digest=sha256:b8f0ded0ed2edef85fc27311f2f9c102bd9ba969c9f17f8b0b7307c06d0f4a20

Observation 5a744abb-92b0-4697-b263-6cebb55b8513 · outbound

This paper cites On information and sufficiency,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer On information and sufficiency,

Reference 46

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:18:44.479799Z digest=sha256:267638a407b184c50b57cb87b8b57e1fc88fbe70b2b5f8ee31ec8a3ad4236930

Observation d46aaf4e-ff17-4d0d-973a-f14a15edd6c3 · outbound

This paper cites M ´ezard, G.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer M ´ezard, G

Reference 47

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raw_fallback, observed 2026-08-10T14:18:45.451353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.484566Z digest=sha256:e162c8805e1bdd8b24af029912c31d9bec0c7f81f06cd9c7654495c906b1c14a

Observation 20c25888-f31c-4589-8c67-c4a6e1b22fc2 · outbound

This paper cites Ambjørn, B.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Ambjørn, B

Reference 48

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raw_fallback, observed 2026-08-10T14:18:45.435622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.489463Z digest=sha256:199dc0ae8617e46d439615eac5a5ac821e6aee5c9354b96bb4fb782250ca0b3b

Observation e5e408e0-1344-4948-a825-490e3abaf2c3 · outbound

This paper cites Pattern recognition,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Pattern recognition,

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-10T14:18:45.419998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.494243Z digest=sha256:f2e3f6a4ed79480d773af81406e8f4bf419c07845ae920695576dcb4e2a9b7f7

Observation 400ce7e2-269f-4d5e-9146-494c0a074b5c · outbound

This paper cites Robbins, An empirical Bayes approach to statistics.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Robbins, An empirical Bayes approach to statistics

Reference 50

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raw_fallback, observed 2026-08-10T14:18:45.404533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.499161Z digest=sha256:b4c421e4d4d5d266f39c4bed41ef588137624c0bca735f6b6524f613172eaa10

Observation c9f054ef-7808-47b3-a6e2-733a8e2b3774 · outbound

This paper cites Fixed-form variational posterior approximation through stochastic linear regression,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Fixed-form variational posterior approximation through stochastic linear regression,

Reference 51

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raw_fallback, observed 2026-08-10T14:18:45.388133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.504330Z digest=sha256:7cff3bfcc4f2a504f0ed0e62b0c22a6192554a9cb66c0312a6a7913d88578da2

Observation 8e780ea1-d208-419a-b4d8-3180dd4440d2 · outbound

This paper cites an unresolved cited work.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Unresolved cited work

Reference 52

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.508871Z digest=sha256:1ca05de0f673a9238fd7726f7bf3e778e9934932477736eea1bbdb448dc0e101

Observation 46c95360-3868-4294-8a4a-b57df2369cba · outbound

This paper cites Relational teacher student learning with neural label embedding for device adaptation in acoustic scene classification,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Relational teacher student learning with neural label embedding for device adaptation in acoustic scene classification,

Reference 53

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verified fuzzy
raw_fallback, observed 2026-08-10T14:18:45.370858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.513770Z digest=sha256:1348dc364e35dca01f727c7d9c477f3a72fcafa8fd17e7c648ffdf8efca839a7

Observation 9f4a75fc-6353-4c21-b2bd-b345b50f2a93 · outbound

This paper cites Relational knowledge distilla- tion,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Relational knowledge distilla- tion,

Reference 54

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verified fuzzy
raw_fallback, observed 2026-08-10T14:18:45.354875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.518563Z digest=sha256:d9fa332678da6762b59999438da78bdb15a199f93f7dead2a486e54c345c314f

Observation 933b771a-4bbd-4429-b072-5358e0d8c1af · outbound

This paper cites Correlation congruence for knowledge distillation,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Correlation congruence for knowledge distillation,

Reference 55

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verified fuzzy
raw_fallback, observed 2026-08-10T14:18:45.338818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.523324Z digest=sha256:3ca8d40c69a7a5bdaf418ac0f9b117af1a39dd56374421963c9b827f3cfef262

Observation ce7b9a19-4d24-40b6-9f07-d1cb622d2d1c · outbound

This paper cites Approximating the kullback leibler divergence between gaussian mixture models,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Approximating the kullback leibler divergence between gaussian mixture models,

Reference 56

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raw_fallback, observed 2026-08-10T14:18:45.321700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.527993Z digest=sha256:4b73e11b5b5f228144d6d85b62a7612405f4c9f35afa90c240bfa9ba99db998c

Observation b8004e13-d71d-45ad-a674-9fdce7146752 · outbound

This paper cites Robust estimation of a location parameter,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Robust estimation of a location parameter,

Reference 57

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verified fuzzy
raw_fallback, observed 2026-08-10T14:18:45.305224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.532945Z digest=sha256:7246893d45f01409973b63bf122a0f590f3407cf3265ed6d4659844f53b9d2e1

Observation 9d80a990-00e4-4e1e-8121-ed7c4993d7e1 · outbound

This paper cites Acoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Acoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions

Reference 58

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no resolver link, observed 2026-08-10T14:18:44.537883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:18:44.537883Z digest=sha256:6ddfa3ac2d13826827e0dedcc7747fe6748431d24d8bcdfb2294cc63a1381203

Observation d581cf99-df50-4068-955c-7e878c6a1f11 · outbound

This paper cites Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences,

Reference 59

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:18:44.543296Z digest=sha256:bfba06233b7fdf84c6298a38ad0e4c1333da92d7f504d332c5fa84b788511c4d

Observation f1ee9e6a-2e6e-4ecd-9834-e212dec349cf · outbound

This paper cites A two-stage approach to device-robust acoustic scene classification,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A two-stage approach to device-robust acoustic scene classification,

Reference 60

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raw_fallback, observed 2026-08-10T14:18:45.277385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.547926Z digest=sha256:e26b8ad9522379ae666bbd9a66c2870ecca862ea47a466589bf1d6bc2d37ce7e

Observation cbbcc743-936a-4b64-a047-a928de10661e · outbound

This paper cites A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification

Reference 61

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local_arxiv, observed 2026-08-10T14:18:44.820336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.552931Z digest=sha256:56587c05a82b39911f9b71f8629c15510788eb2619f7ff187f41854f85f15184

Observation 5b2681aa-1c6d-4fd4-8cea-a4418a353b20 · outbound

This paper cites Low-complexity acoustic scene classification for multi-device audio: analysis of DCASE 2021 Challenge systems.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Low-complexity acoustic scene classification for multi-device audio: analysis of DCASE 2021 Challenge systems

Reference 62

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local_arxiv, observed 2026-08-10T14:18:44.796142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.557861Z digest=sha256:047bd506cc31fc6f3f8a43f2d9dd53c1a79bc12c2f7847c8bc7818bf875ed7dc

Observation 7fc3ae29-a3ce-4ed6-88c9-0a67f9bfdfcb · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer mixup: Beyond Empirical Risk Minimization

Reference 63

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:18:44.562866Z digest=sha256:c9eded1f6391516f274eec2eea75e9848e6224a58288c1ca04911309628af8da

Observation 90ed51b8-2383-4dc1-a35a-3860a476e953 · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Reference 64

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no resolver link, observed 2026-08-10T14:18:44.567922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:18:44.567922Z digest=sha256:b537f0944dab66778e987a02ef2fb17e48828f41ae7c490e360ba9fd6183b98e

Observation 078e9a74-a640-4401-ba88-77e769467294 · outbound

This paper cites Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 65

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:18:44.573320Z digest=sha256:12c2836e3f6238165547c96786a319873f87901763e647124eea5e056db1ed9b

Observation 5cafa164-d172-479b-a9d6-04f838705b90 · outbound

This paper cites A neural attention model for speech command recognition.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A neural attention model for speech command recognition

Reference 66

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:18:44.578749Z digest=sha256:e7b770e47f183ce43eed89746f814e6b68d1dc85110b4144fb735a40553f9962

Observation b0daa6a1-83c9-4bc7-9571-87712157e56f · outbound

This paper cites Decentralizing feature extraction with quantum convolutional neural network for automatic speech recognition,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Decentralizing feature extraction with quantum convolutional neural network for automatic speech recognition,

Reference 67

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raw_fallback, observed 2026-08-10T14:18:45.261162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.583929Z digest=sha256:e335f78a3dab876efd0944bb148fac59ee731b21cfc8ccd5034dcf9fd6e3960a

Observation c8642166-8453-4fcd-a5e5-c18dde1096fb · outbound

This paper cites Hello Edge: Keyword Spotting on Microcontrollers.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Hello Edge: Keyword Spotting on Microcontrollers

Reference 68

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:18:44.589153Z digest=sha256:66347149134eb2be6f0a883e30dd78dc61c1d87d1061667717dec8d7ed357935

Observation 7afc03da-e7fd-4a37-816f-75635407c281 · outbound

This paper cites Single-word speech recognition with convolutional neural networks on raw waveforms,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Single-word speech recognition with convolutional neural networks on raw waveforms,

Reference 69

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raw_fallback, observed 2026-08-10T14:18:45.244726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.594244Z digest=sha256:0d15395b1814380a41a04fefa8db70e7b2feccd6ff3e1aeaa34b1738376a6605

Observation b461dcbc-a914-4d64-934d-64f10e4278df · outbound

This paper cites Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition,

Reference 70

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raw_fallback, observed 2026-08-10T14:18:45.228641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.599001Z digest=sha256:7a1e9c7580c85a83fbd37876b558b9ca314ffcd812d034cf17a178c7dbd967af

Observation 6e0fb905-9489-4035-b7e9-5799e901211c · outbound

This paper cites L-vector: Neural label embedding for domain adaptation,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer L-vector: Neural label embedding for domain adaptation,

Reference 71

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verified fuzzy
raw_fallback, observed 2026-08-10T14:18:45.212740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.603752Z digest=sha256:093194faaadfb85f09b208094fa99feff39f3c90dd32d8e7c8306fd6d949a857

Observation 0d93e0b3-5dad-41f2-99a7-20d4c31a29c8 · outbound

This paper cites Knowledge transfer via distillation of activation boundaries formed by hidden neurons,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Knowledge transfer via distillation of activation boundaries formed by hidden neurons,

Reference 72

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verified fuzzy
raw_fallback, observed 2026-08-10T14:18:45.196355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:18:44.608642Z digest=sha256:d26165f4de8928ccaafbacb91fa17619e89495ad753ed34c69458708e698068a

Observation c33b23c3-1496-4529-9e43-c7b6f10a19d3 · outbound

This paper cites Variational information distillation for knowledge transfer,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Variational information distillation for knowledge transfer,

Reference 73

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raw_fallback, observed 2026-08-10T14:18:45.178635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 1f4e1954-5e48-4d31-b270-1fa6e8bfd938 · outbound

This paper cites A gift from knowledge distillation: Fast optimization, network minimization and transfer learning,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A gift from knowledge distillation: Fast optimization, network minimization and transfer learning,

Reference 74

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Observation b4e770d5-1806-4bc3-a161-33bcc4c1e4e3 · outbound

This paper cites Similarity-preserving knowledge distillation,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Similarity-preserving knowledge distillation,

Reference 75

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Observation d0d9130e-ab2f-4e12-83f9-005e3df9439b · outbound

This paper cites Learning deep representations with proba- bilistic knowledge transfer,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Learning deep representations with proba- bilistic knowledge transfer,

Reference 76

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Observation 311e150f-c3e2-4e33-941d-9ae422b7695e · outbound

This paper cites Like What You Like: Knowledge Distill via Neuron Selectivity Transfer.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Like What You Like: Knowledge Distill via Neuron Selectivity Transfer

Reference 77

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Observation 7c37574b-af57-40d9-b47c-d6f4286e072d · outbound

This paper cites Visualizing data using t-sne.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Visualizing data using t-sne

Reference 78

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verified fuzzy
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Pith citing papers

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