Paper Citation Record · LEDGER

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization

As of 22 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2508.20885.

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

pith.paper-citation-record.v1
2508.20885 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:49:42.989313Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:19:05.797308Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

verified exact9
verified fuzzy43
unresolved7
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 41206a49-d0f4-45ff-b8ea-8662a8d0c9d1 · outbound

This paper cites Speaker diarization with plda i-vector scoring and unsupervised calibration,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Speaker diarization with plda i-vector scoring and unsupervised calibration,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:44.057516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2dbc7b90-91db-4380-bb7d-72dd069b0168 · outbound

This paper cites Recurrent neural networks for voice activity detection,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Recurrent neural networks for voice activity detection,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:44.039983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f2720d1-5949-442a-8797-05968ab09bbf · outbound

This paper cites Deep belief networks based voice activity detection,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Deep belief networks based voice activity detection,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:44.022829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf4087eb-e7ed-4d62-8271-08973fa1426a · outbound

This paper cites A statistical model-based voice activity detection,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization A statistical model-based voice activity detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:44.002830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 87f61e21-83d3-49fa-aa9f-a1eb195b1db4 · outbound

This paper cites Real-life voice activity detection with LSTM Recurrent neural networks and an appli- cation to Hollywood movies,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Real-life voice activity detection with LSTM Recurrent neural networks and an appli- cation to Hollywood movies,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.985553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3db13578-2beb-401c-8294-fff79d77a4a3 · outbound

This paper cites Improvements to deep convolutional neural networks for LVCSR.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Improvements to deep convolutional neural networks for LVCSR

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:49:43.377083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a314cb5e-fe30-4cf0-bfc1-0e15b1e62d7f · outbound

This paper cites V oice activity detection for transient noisy environment based on diffusion nets,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization V oice activity detection for transient noisy environment based on diffusion nets,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.970184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9f130d50-6d99-47be-9732-5c9df7cf1986 · outbound

This paper cites Voice Activity Detection in presence of background noise using EEG.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Voice Activity Detection in presence of background noise using EEG

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:49:43.346542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f3eb3cf8-2e3f-4687-86a3-225b7d727dac · outbound

This paper cites A bin encoding training of a spiking neural network based voice activity detection,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization A bin encoding training of a spiking neural network based voice activity detection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.954696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b9685b7d-1dce-4633-ade0-3944ab38c8ff · outbound

This paper cites V oice activity detection in the wild via weakly supervised sound event detection,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization V oice activity detection in the wild via weakly supervised sound event detection,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.938689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 10b2d720-1693-4003-af34-14e7ebd62d2a · outbound

This paper cites Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.924373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1aebecaa-0757-4573-8db0-f1c05a8565f1 · outbound

This paper cites End-to-end domain-adversarial voice activity detection,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization End-to-end domain-adversarial voice activity detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.909145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1e553804-18fb-4f79-a178-a79e3a08314a · outbound

This paper cites End-to-end automatic speech recognition integrated with CTC-based voice activity detection,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization End-to-end automatic speech recognition integrated with CTC-based voice activity detection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.894154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cd92ff4a-2bcf-4404-9344-6904a011a4f8 · outbound

This paper cites V oice activity detection in the wild: A data-driven approach using teacher-student training,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization V oice activity detection in the wild: A data-driven approach using teacher-student training,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.879321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 985e4b4b-e2ea-4470-9c08-d925f4e660c1 · outbound

This paper cites Improvement of noise-robust single-channel voice activity detection with spatial pre-processing,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Improvement of noise-robust single-channel voice activity detection with spatial pre-processing,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.864033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bbca8a5e-4dbb-4ebb-9b2b-b93e339d5c45 · outbound

This paper cites A lightweight framework for online voice activity detection in the wild,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization A lightweight framework for online voice activity detection in the wild,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.849679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 16344eb1-0c78-495d-b1d0-c95af5789bd1 · outbound

This paper cites Cross-domain Voice Activity Detection with Self-Supervised Representations.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Cross-domain Voice Activity Detection with Self-Supervised Representations

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:49:43.321256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e69d231e-5623-4830-9b34-425d4dcc674b · outbound

This paper cites Adversarial Multi-Task Deep Learning for Noise-Robust Voice Activity Detection with Low Algorithmic Delay.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Adversarial Multi-Task Deep Learning for Noise-Robust Voice Activity Detection with Low Algorithmic Delay

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:49:43.296437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4ae54ad8-3159-47d4-82de-de2f1cdd8cea · outbound

This paper cites BC-VAD: A Robust Bone Conduction Voice Activity Detection.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization BC-VAD: A Robust Bone Conduction Voice Activity Detection

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:49:43.271671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f527fc5e-afca-414e-949b-df073b7f6174 · outbound

This paper cites Unsupervised voice activity detection by modeling source and system information using zero frequency filtering,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Unsupervised voice activity detection by modeling source and system information using zero frequency filtering,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.835148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation edbebfd4-177c-44fe-819a-594f8a1d9c03 · outbound

This paper cites CNN self-attention voice activity detector.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization CNN self-attention voice activity detector

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:49:43.246555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3d98060d-e406-4277-9ed6-c2cd0d7ffbe0 · outbound

This paper cites Voice Activity Detection (VAD) in Noisy Environments.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Voice Activity Detection (VAD) in Noisy Environments

Reference 22

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Source-reported events for the cited work

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Observation 8e52a4d0-086d-43f2-a670-026657c1eef3 · outbound

This paper cites Semantic V AD: Low-latency voice activity detection for speech interaction,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Semantic V AD: Low-latency voice activity detection for speech interaction,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.820132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ef9380ea-903d-4011-a8f9-0d84516f4adb · outbound

This paper cites Real-time causal spectro-temporal voice activity detection based on convolutional encoding and residual decoding,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Real-time causal spectro-temporal voice activity detection based on convolutional encoding and residual decoding,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.805427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e5d8c046-3ef0-4443-ae98-517deafa40f6 · outbound

This paper cites CLIP-VAD: Exploiting Vision-Language Models for Voice Activity Detection.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization CLIP-VAD: Exploiting Vision-Language Models for Voice Activity Detection

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:49:43.201786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e116c1cc-14a5-4e62-aad3-0cff34a938cd · outbound

This paper cites A Real-Time Voice Activity Detection Based On Lightweight Neural.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization A Real-Time Voice Activity Detection Based On Lightweight Neural

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:49:43.176117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0222f0a4-49c9-4dac-a2d2-052d6cf1e654 · outbound

This paper cites A Transformer-based voice activity detector,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization A Transformer-based voice activity detector,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.790203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a3a6b1dd-8143-4efd-ae12-fe9744aa0770 · outbound

This paper cites Robust voice activity detection using locality- sensitive hashing and residual frequency-temporal attention,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Robust voice activity detection using locality- sensitive hashing and residual frequency-temporal attention,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.773172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b3880b40-3083-4d1b-8456-2fc45190f2f8 · outbound

This paper cites Channel- combination algorithms for robust distant voice activity and overlapped speech detection,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Channel- combination algorithms for robust distant voice activity and overlapped speech detection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.756335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 98db8661-c0f8-493d-bdea-ccfb72681f32 · outbound

This paper cites sV AD: A robust, low-power, and light-weight voice activity detection with spiking neural networks,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization sV AD: A robust, low-power, and light-weight voice activity detection with spiking neural networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.741894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ddd52716-7639-427b-8378-b7969cd7659c · outbound

This paper cites Robust speech activity detection in movie audio: Data resources and experimental evaluation,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Robust speech activity detection in movie audio: Data resources and experimental evaluation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.727394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d0a1064d-94f5-4fa6-ac49-2045e305a5b8 · outbound

This paper cites MarbleNet: Deep 1D time- channel separable convolutional neural network for voice activity de- tection,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization MarbleNet: Deep 1D time- channel separable convolutional neural network for voice activity de- tection,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.712574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6dda8084-4b71-4c89-9565-42d88ffd4b56 · outbound

This paper cites SG-V AD: Stochastic gates based speech activity detection,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization SG-V AD: Stochastic gates based speech activity detection,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.698226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 87219fda-8bfc-40bf-9342-ceb9b95126a4 · outbound

This paper cites ResectNet: An efficient architecture for voice activity detection on mobile devices,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization ResectNet: An efficient architecture for voice activity detection on mobile devices,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.683484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 75ea1723-de44-4457-9665-d0db7ea690af · outbound

This paper cites Small-footprint convolutional neural network with reduced feature map for voice activity detection,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Small-footprint convolutional neural network with reduced feature map for voice activity detection,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.668467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation efc34114-a6d6-4920-b41e-1c1598bb2d21 · outbound

This paper cites A tutorial on the cross-entropy method,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization A tutorial on the cross-entropy method,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.652463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a1cb42ce-257d-4650-85d0-5d0b14776bda · outbound

This paper cites Speaker recognition from raw waveform with SincNet,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Speaker recognition from raw waveform with SincNet,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.637124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c9a173b0-f917-495a-b68b-2f025224a602 · outbound

This paper cites Learning filterbanks from raw speech for phone recogni- tion,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Learning filterbanks from raw speech for phone recogni- tion,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.621222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation acb89ee0-35ad-4b09-99b5-7a2bd63fa977 · outbound

This paper cites What do neural networks listen to? Exploring the crucial bands in speech enhancement using sinc- convolution,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization What do neural networks listen to? Exploring the crucial bands in speech enhancement using sinc- convolution,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.606115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7ef9e80b-6ba5-41dc-bd55-5664c297cdd8 · outbound

This paper cites Speaker conditional sinc-extractor for personal V AD,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Speaker conditional sinc-extractor for personal V AD,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.591213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1a9daf2f-ecb2-4a92-bdfc-5377cdd54649 · outbound

This paper cites Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f8b449d-50e9-41e7-8835-a6a9583ef32d · outbound

This paper cites AUC optimization for deep learning-based voice activity detection,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization AUC optimization for deep learning-based voice activity detection,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.575376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 54362b12-4ffd-4e54-897f-d45597d97990 · outbound

This paper cites A V A- speech: A densely labeled dataset of speech activity in movies,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization A V A- speech: A densely labeled dataset of speech activity in movies,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.559608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 84594d4c-c55e-4525-8666-456fb60d4f44 · outbound

This paper cites V oice activity detection using an adaptive context attention model,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization V oice activity detection using an adaptive context attention model,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.543533Z

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Observation ddfa9fef-7710-4bd4-857f-69950e13cb28 · outbound

This paper cites Some windows with very good sidelobe behavior,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Some windows with very good sidelobe behavior,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.527572Z

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Observation 3f3cd6b5-f731-4580-ad3d-cf9627c35950 · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Improved Regularization of Convolutional Neural Networks with Cutout

Reference 46

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This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 47

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This paper cites CSPNet: A new backbone that can enhance learning capability of CNN,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization CSPNet: A new backbone that can enhance learning capability of CNN,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.511760Z

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Observation ead2a22f-3c70-4941-bba7-ad1435ecd44d · outbound

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

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 49

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Observation ad5b5b0d-7f68-4134-b605-5646b58dbf92 · outbound

This paper cites Freesound technical demo,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Freesound technical demo,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.496559Z

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

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization ESC: Dataset for environmental sound classification,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.481344Z

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Observation 4c94215b-384e-4117-b362-57c8cf59b289 · outbound

This paper cites An overview of gradient descent optimization algorithms.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization An overview of gradient descent optimization algorithms

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T14:49:42.951225Z

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This paper cites Bag of tricks for image classification with convolutional neural networks,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Bag of tricks for image classification with convolutional neural networks,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.464971Z

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Observation 79174a5d-71b9-481b-a81c-da4c63f1fe87 · outbound

This paper cites The use of the area under the ROC curve in the evaluation of machine learning algorithms,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization The use of the area under the ROC curve in the evaluation of machine learning algorithms,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.449297Z

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Observation c80f3cc1-fda4-490c-aacc-a3e323b16508 · outbound

This paper cites A hybrid CNN-BiLSTM voice activity detector,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization A hybrid CNN-BiLSTM voice activity detector,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.433058Z

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Observation 003ba52d-3337-43e3-aa15-148607eb391a · outbound

This paper cites ADA-V AD: Unpaired adversarial domain adaptation for noise-robust voice activity detection,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization ADA-V AD: Unpaired adversarial domain adaptation for noise-robust voice activity detection,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.415346Z

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Observation 087a0ee7-f6ea-4f17-9832-bc406f8fe59a · outbound

This paper cites NAS-V AD: Neural architecture search for voice activity detection,.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization NAS-V AD: Neural architecture search for voice activity detection,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:49:43.398494Z

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Observation c78bbc80-256c-46ae-94fe-5952daa52642 · outbound

This paper cites On training targets for noise-robust voice activity detection.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization On training targets for noise-robust voice activity detection

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:49:43.058024Z

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Observation 94456352-0719-4867-9cbb-088ea2bc42a3 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 59

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Pith citing papers

Observation 7c7f35f5-a180-49c6-b2d6-56f0dccd8a09 · inbound

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment cites this paper.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization

Reference 15

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