Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T06:37:05.257817Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.11157.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T06:37:05.257817Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
43 of 43 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation fee4f39f-570a-4f93-9e52-ff4167086f75 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Complex ratio masking for monaural speech separation,
Reference 1
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Observation 1e050417-72a2-4ce9-9955-db20544a5304 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Complex spectral mapping for single-and multi-channel speech enhancement and robust asr,
Reference 2
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Observation ce539046-9d18-4b38-b3d4-868473d07f2f · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction
Reference 3
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Observation 4f6b1165-1fc8-4d90-bc0b-33ae5880dfee · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis A wavenet for speech denoising,
Reference 4
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Observation 89e63ab4-fce0-4d36-bdf7-f95d49ec8cab · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Conv-tasnet: Surpassing ideal time– frequency magnitude masking for speech separation,
Reference 5
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Observation b724993e-7241-4afc-b92e-64f6851079d7 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement
Reference 6
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Observation 3d0b05d1-1478-4794-a12b-02b9671a99c5 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Usefulness of phase spectrum in human speech perception
Reference 7
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Observation 3274d87d-dde8-4ec6-9ff9-ef35e2084639 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Phase processing for single-channel speech enhancement: History and recent advances,
Reference 8
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Observation 1f2c280a-96ae-4ff2-bd2d-32c6dd07f1c5 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement Errors on ASR
Reference 9
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Observation 896726a5-0c87-4945-8f0d-dc82ffa68044 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis When de-noising hurts: A systematic study of speech enhancement effects on modern medical asr systems,
Reference 10
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Observation efbf3436-54ef-47ae-ad2e-d734a06f5a84 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis When denoising hinders: Revisiting zero-shot asr with sam-audio and whisper,
Reference 11
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Observation 9ae39dd5-cde3-460d-8eae-23b406590bb2 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis wav2vec 2.0: A framework for self-supervised learning of speech representations,
Reference 12
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Observation 919e6e04-3b98-412c-bf38-20f0d88f618e · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Robust speech recognition via large-scale weak supervi- sion,
Reference 13
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Observation bc263471-ad0c-4b2f-90b2-5d22f2a55471 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis How does end-to-end speech recognition training impact speech enhancement artifacts?
Reference 14
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Observation 5a07b512-299c-4188-a370-dde5772db5a0 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Rethinking processing distortions: Disentangling the impact of speech enhancement errors on speech recognition performance,
Reference 15
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Observation 0007795b-5451-40ff-a2b4-2ecb9179144b · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Effect of noise suppression losses on speech distortion and asr performance,
Reference 16
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Observation f7026300-2391-4ab2-adf1-6ad38a89b9bb · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis On the compensation between magnitude and phase in speech separation,
Reference 17
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Observation b78aa9ad-aed2-4b6b-b5c9-daeb3a1c4ade · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Joint noise adaptive training for robust automatic speech recognition,
Reference 18
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Observation ab712a4e-f8d1-494c-9fa8-0136fd22a5f0 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Learning to enhance or not: Neural network-based switching of en- hanced and observed signals for overlapping speech recognition,
Reference 19
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Observation 28f4f22e-823d-40ef-96e4-8904af87bb9e · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Frcrn: Boosting feature representation using frequency recurrence for monaural speech enhancement,
Reference 20
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Observation 5d3b4b3b-380b-4f22-bebe-86577c6e27cd · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Phase- sensitive and recognition-boosted speech separation using deep recurrent neural networks,
Reference 21
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Unavailable: canonical work link unavailable.
Observation 0635132a-f31d-48d5-a5ea-cd5b993b66a7 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Task- aware warping factors in mask-based speech enhancement,
Reference 22
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Observation bf6edaaf-f2f7-4201-a330-a804957ed57e · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Mask scalar prediction for improving robust automatic speech recognition
Reference 23
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Observation dc73a535-f9b3-4617-b03d-66f1d5b45031 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis The third ‘chime’speech separation and recognition challenge: Dataset, task and baselines,
Reference 24
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Observation ba526077-3157-473b-b326-99e81ff97360 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Impact of residual noise and artifacts in speech enhancement errors on intelligibility of human and machine
Reference 25
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Observation a54843ca-78ee-460d-851b-25deeacd7547 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Too Good to Be True: A Study on Modern Automatic Speech Recognition for the Evaluation of Speech Enhancement
Reference 26
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Observation d40e4bd4-ea8c-4192-9136-88c38519960c · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis A joint training framework for robust auto- matic speech recognition,
Reference 27
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Unavailable: canonical work link unavailable.
Observation 4672954e-500a-4628-9fc7-080f2590e15f · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis SNRi Target Training for Joint Speech Enhancement and Recognition
Reference 28
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Unavailable: canonical work link unavailable.
Observation aef08702-3916-4912-b9c3-bba509a3792b · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Dual application of speech enhancement for automatic speech recognition,
Reference 29
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Unavailable: canonical work link unavailable.
Observation 14bd39c6-d696-46cf-ab8d-61929a64cc53 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Interactive feature fusion for end-to-end noise-robust speech recognition,
Reference 30
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Unavailable: canonical work link unavailable.
Observation bd3ff6d9-8c7d-4b93-b03e-1b6f860c9f05 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Enhanced spectral features for distortion- independent acoustic modeling
Reference 31
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Observation eddb54d1-45ab-4f20-b7f2-21ff67181eb8 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Should We Always Separate?: Switching Between Enhanced and Observed Signals for Overlapping Speech Recognition
Reference 32
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Observation fa4a145b-acb4-40fc-97cf-0708e335db85 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Training-Free Intelligibility-Guided Observation Addition for Noisy ASR
Reference 33
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Observation 2aacbd13-7531-434e-8ba4-5c1aaae247fa · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Mossformer2: Combining transformer and rnn-free recurrent network for enhanced time-domain monaural speech separation,
Reference 34
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Observation 007e5e11-d608-4189-b504-ab73f671d6b6 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Meanflowse: One-step generative speech enhancement via conditional mean flow,
Reference 35
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Observation e11eb73e-e443-4743-8752-51a8c564cf2f · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching
Reference 36
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Observation 62d6213e-4b2e-42cc-b5ca-3152fb8077ab · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Investigating rnn-based speech enhancement methods for noise-robust text-to-speech,
Reference 37
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Observation 34058963-da3c-4b5a-ae3e-0d1a9593b5f6 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis The diverse environments multi- channel acoustic noise database (demand): A database of multichannel environmental noise recordings,
Reference 38
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Observation f08e5579-001a-4a99-96e0-c7ceb8cf0d7d · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis ClearerVoice-Studio: Bridging Advanced Speech Processing Research and Practical Deployment
Reference 39
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Observation cba80beb-f680-4229-afd5-45fa45bdf405 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Performance measurement in blind audio source separation,
Reference 40
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Observation 8142e370-bbea-4cd8-9aab-6c5f53a6c024 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Per- ceptual evaluation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs,
Reference 41
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Observation abf8100a-1ef9-4c50-916c-c375fd98624d · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis An algorithm for intelligibility prediction of time–frequency weighted noisy speech,
Reference 42
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Unavailable: canonical work link unavailable.
Observation 7383ac42-1ec3-4643-85cf-2d5c1ced5b65 · outbound
Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis Bridging the gap: Integrating pre-trained speech enhancement and recognition models for robust speech recognition,
Reference 43
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No inbound Pith citation observations are available.