Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network | Paper Citation Record

Observation bdfffeab-2380-4cbe-90eb-392036a45ebe · outbound

This paper cites Spec - trogram and lstm based infant cry detection method for infant wellness monitoring systems,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Spec - trogram and lstm based infant cry detection method for infant wellness monitoring systems,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.769426Z

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Observation b0b8595c-e159-49e8-8d11-b81cbd3fd35a · outbound

This paper cites Multi-task learning for audio-based infant cry detection and reasoning,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Multi-task learning for audio-based infant cry detection and reasoning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.761005Z

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Observation 2ff0a483-535f-49c7-9c11-e1cb74213de1 · outbound

This paper cites Fast autocorrelation feature-based infant cry detector for resource-efficient affordable edge cry sound analysis systems,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Fast autocorrelation feature-based infant cry detector for resource-efficient affordable edge cry sound analysis systems,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.753013Z

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Observation 5e266b8d-75a8-41b8-81e6-d8d315c52d5e · outbound

This paper cites Infant crying detection in real -world environments,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Infant crying detection in real -world environments,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.745861Z

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Observation 196002e6-7443-463b-aede-de1942d3bd4c · outbound

This paper cites Real-time baby crying detection in the noisy everyday environment,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Real-time baby crying detection in the noisy everyday environment,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.738963Z

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Observation 96487d2a-5ff1-4354-9cd6-41d4fe866662 · outbound

This paper cites Infant cry detection using causal temporal representation,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Infant cry detection using causal temporal representation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.731966Z

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Observation d945f281-6c31-4a52-8008-674387e8020e · outbound

This paper cites Infant speech emotion recog - nition based on channel attention mechanism with resnet-bilstm,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Infant speech emotion recog - nition based on channel attention mechanism with resnet-bilstm,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.724644Z

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Observation afd7eb1e-a663-437b-8df1-f610bacd3a3b · outbound

This paper cites Baby cry recognition based on slgan model data generation and deep feature fusion,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Baby cry recognition based on slgan model data generation and deep feature fusion,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.717287Z

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Observation 050e7288-265d-4990-b0a9-67609fbe2216 · outbound

This paper cites A multistage heterogeneous stacking ensemble model for augmented infant cry classification,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network A multistage heterogeneous stacking ensemble model for augmented infant cry classification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.710151Z

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Observation 82755293-1995-49cc-b1d4-28364298b089 · outbound

This paper cites Infant cry language analysis and recognition: an experimental approach,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Infant cry language analysis and recognition: an experimental approach,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.703304Z

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Observation 14d8df0e-8131-414e-b236-7821a0250f8d · outbound

This paper cites Infant cry classification using transfer learning,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Infant cry classification using transfer learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.696119Z

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Observation 5fa75fda-6191-4414-91f0-a7af4a994e47 · outbound

This paper cites A multi -scale convolutional at- tention neural network based on residual block downsampling for infant cry classification and detection,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network A multi -scale convolutional at- tention neural network based on residual block downsampling for infant cry classification and detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.689076Z

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Observation 303ca6ef-310e-472b-8b2a-14e64d4efa60 · outbound

This paper cites A machine learning approach to classify biomedical acoustic features for baby cries,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network A machine learning approach to classify biomedical acoustic features for baby cries,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.682071Z

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Observation 2f8d1972-5224-4a30-bfe0-b009a75f644f · outbound

This paper cites A systematic literature review of audio signal processing methods for infant cry recognition and interpretation,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network A systematic literature review of audio signal processing methods for infant cry recognition and interpretation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.675435Z

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Observation 5f6767ae-678d-4f73-99c4-9abb528a291b · outbound

This paper cites Exploring the differences between deaf and hearing infant cries,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Exploring the differences between deaf and hearing infant cries,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.667859Z

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Observation 7170353c-16e7-4149-b46c-750d4ec520dd · outbound

This paper cites Self-supervised learning for infant cry analysis,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Self-supervised learning for infant cry analysis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.660853Z

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Observation 21cd2933-4d99-4c77-8418-287a108c328e · outbound

This paper cites A system for the processing of infant cry to recognize pathologies in recently born babies with neural networks,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network A system for the processing of infant cry to recognize pathologies in recently born babies with neural networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.653377Z

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Observation d349b1f1-bc06-4ee2-92ee-3685f3cc2779 · outbound

This paper cites Rethinking depthwise separable convo- lutions: How intra-kernel correlations lead to improved mobilenets,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Rethinking depthwise separable convo- lutions: How intra-kernel correlations lead to improved mobilenets,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.646673Z

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Observation ec4c945b-f77c-4f7d-ba1e-43db7a779099 · outbound

This paper cites Low-complexity acoustic scene classification using blueprint separable convolution and knowledge distillation ,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Low-complexity acoustic scene classification using blueprint separable convolution and knowledge distillation ,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.639300Z

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Observation b21602b0-bef3-4ab8-9e91-d2c305de1835 · outbound

This paper cites Residual feature aggregation network for image super-resolution,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Residual feature aggregation network for image super-resolution,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.632140Z

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Observation 1210cbfe-a26c-43f1-a938-be7ca9bb69d7 · outbound

This paper cites Phase- aware speech enhancement with deep complex u-net,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Phase- aware speech enhancement with deep complex u-net,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.625038Z

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Observation ee1cfef3-8852-4f87-ad78-57eb110588f2 · outbound

This paper cites DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

Reference 22

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Observation a3414fe4-4b81-430c-a836-e4955bf577e9 · outbound

This paper cites Dual-path rnn: efficient long sequence modeling for time-domain single-channel speech separation,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Dual-path rnn: efficient long sequence modeling for time-domain single-channel speech separation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.617767Z

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Observation fe4ea87e-8db9-4702-9d51-bc42b88716c5 · outbound

This paper cites Cryceleb: a speaker verification dataset based on infant cry sounds,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Cryceleb: a speaker verification dataset based on infant cry sounds,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.610681Z

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Observation c8ade4e2-414f-4e51-a6db-9d0ceb950f1c · outbound

This paper cites Infant cries convey both stable and dynamic information about age and identity,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Infant cries convey both stable and dynamic information about age and identity,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.603625Z

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Observation bde7bb29-761f-4716-8ede-2a78e46ae2f3 · outbound

This paper cites iFLYTEK A.I. Developer Competition - Baby Cry Recognition Challenge,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network iFLYTEK A.I. Developer Competition - Baby Cry Recognition Challenge,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.596551Z

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Observation 0d7b839b-d06b-491f-8ba4-3c46bcce0353 · outbound

This paper cites The vox celeb speaker recognition challenge: A retrospective,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network The vox celeb speaker recognition challenge: A retrospective,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.589016Z

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Observation 9ad1d437-620c-4bc0-9d28-fd299a2d5c26 · outbound

This paper cites Esc: Dataset for environmental sound classification,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Esc: Dataset for environmental sound classification,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.581797Z

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Observation ba328ba4-c041-48a0-a52d-75be45394b00 · outbound

This paper cites Catmeows: A publicly-available dataset of cat vocaliza- tions,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Catmeows: A publicly-available dataset of cat vocaliza- tions,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.573948Z

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Observation 53231abf-f364-411b-9e72-6b9b50506109 · outbound

This paper cites DASEE A Synthetic Database of Domestic Acoustic Scenes and Events in Dementia Patients Environment.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network DASEE A Synthetic Database of Domestic Acoustic Scenes and Events in Dementia Patients Environment

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:15:07.422377Z

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Observation 7a96ea1d-0491-4895-a7ac-4516155ed996 · outbound

This paper cites Investigation of infants’ crying detection in noisy home scene with deep learning,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Investigation of infants’ crying detection in noisy home scene with deep learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.566191Z

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Observation 69a37ddf-73da-4673-aec9-4038775ac79f · outbound

This paper cites Convolutional neural networks for audio-based continuous infant cry monitoring at home,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Convolutional neural networks for audio-based continuous infant cry monitoring at home,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.559239Z

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Observation fb33a44e-7c40-411e-8003-596d92c8aa11 · outbound

This paper cites Mobile phone clustering from speech recordings using deep representation and spectral clustering,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Mobile phone clustering from speech recordings using deep representation and spectral clustering,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.552296Z

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Observation 5c6e5ac8-d6b2-4ab6-aa08-8ec479f71f72 · outbound

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

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Domestic activities clustering from audio recordings using convolutional capsule autoencoder network,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.544030Z

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Observation a754a433-6f69-4294-b2bc-5088ffadad9c · outbound

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

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Speaker clustering by co-optimizing deep representation learning and cluster estimation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.537153Z

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Observation 767d2c6a-1d1d-4628-8745-a655cb1fa27e · outbound

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

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Acoustic scene clustering using joint optimization of deep embedding learning and clustering iteration,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.530514Z

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Observation bf6e8da5-003c-4e81-8f61-93792099b8ee · outbound

This paper cites Few -shot speaker identification using lightweight prototypical network with feature grouping and interaction,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Few -shot speaker identification using lightweight prototypical network with feature grouping and interaction,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.523217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d600cb80-38fd-447a-a985-5b39ac62ccf3 · outbound

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

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Lightweight speaker verification using transformation module with feature partition and fusion,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.515970Z

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Observation 71a67c2a-a50a-487d-b6f4-703db1a674a6 · outbound

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

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Few-shot class-incremental audio classification with adaptive mitigation of forgetting and overfitting,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.508613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2a9c0d17-c2fc-477f-aa5e-b6ad240e4afd · outbound

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

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Fully few -shot class-incremental audio classification with adaptive improvement of stability and plasticity,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.501277Z

Source-reported events for the cited work

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Observation e3e75b71-a9ec-4a29-aa0f-a21b5da4f297 · outbound

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

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Few -shot class - incremental audio classification using dynamically expanded classifier with self -attention modified prototypes,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.493851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 66ad5e09-f0d3-4ea8-af0d-e40ce959a86c · outbound

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

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Acoustic scene classification using deep audio feature and BLSTM network,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.485839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 02838efe-39e6-462d-90dc-71a79bb4aa34 · outbound

This paper cites Audio augmentation for speech recognition.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Audio augmentation for speech recognition

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.478342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 554ee7f6-380b-4d9e-af9a-6deae074551c · outbound

This paper cites A study on data augmentation of reverberant speech for robust speech recognition,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network A study on data augmentation of reverberant speech for robust speech recognition,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.470093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4e6c2a19-f09e-4505-a3d8-9405c06ead09 · outbound

This paper cites Deep residual learning for image recognition,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Deep residual learning for image recognition,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.462544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e2bc62bc-d8e3-4c05-af6d-45a842297be1 · outbound

This paper cites ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T16:15:07.381552Z

Source-reported events for the cited work

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Observation 1ac5ad07-85df-435d-ae91-41ac151a355f · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.453998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b63339b2-43ec-496c-8048-c17def85d277 · outbound

This paper cites A cyclical learning rate method in deep learning training,.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network A cyclical learning rate method in deep learning training,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.446281Z

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Observation 84a44112-cbe6-43b0-bb28-e94c7b9a2499 · outbound

This paper cites Robust laughter detection in noisy environments.

Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network Robust laughter detection in noisy environments

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:15:07.437298Z

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