Paper Citation Record · LEDGER

NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2104.09494.

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

pith.paper-citation-record.v1
2104.09494 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:05:11.436227Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:08:37.813294Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation be99caf8-6851-409d-8e79-0bcec4553505 · inbound

Towards Improved Objective Perceptual Audio Quality Assessment -- Part 1: A Novel Data-Driven Cognitive Model cites this paper.

Towards Improved Objective Perceptual Audio Quality Assessment -- Part 1: A Novel Data-Driven Cognitive Model NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T11:30:04.920547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 772a9847-6895-4a12-a802-c361164763e7 · inbound

Overview of the Amphion Toolkit (v0.2) cites this paper.

Overview of the Amphion Toolkit (v0.2) NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-10T14:21:56.879183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be93759f-f1ab-42ed-97ef-c47e7ef11280 · inbound

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators cites this paper.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.089145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c12aaf43-7de6-45ee-adfd-7cfa2152ef9d · inbound

Metis: A Foundation Speech Generation Model with Masked Generative Pre-training cites this paper.

Metis: A Foundation Speech Generation Model with Masked Generative Pre-training NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-09T05:54:18.656523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d180f06-89bc-49a4-8a9c-4eeb242cd7b7 · inbound

Muyan-TTS: A Trainable Text-to-Speech Model Optimized for Podcast Scenarios with a $50K Budget cites this paper.

Muyan-TTS: A Trainable Text-to-Speech Model Optimized for Podcast Scenarios with a $50K Budget NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:11.436227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1926ba2a-b443-45ad-9567-ba7ca98d6dc9 · inbound

Towards Flow-Matching-based TTS without Classifier-Free Guidance cites this paper.

Towards Flow-Matching-based TTS without Classifier-Free Guidance NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T05:37:50.085103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01cb78cd-3329-4f01-bac8-a992308224c2 · inbound

RoVo: Robust Voice Protection Against Unauthorized Speech Synthesis with Embedding-Level Perturbations cites this paper.

RoVo: Robust Voice Protection Against Unauthorized Speech Synthesis with Embedding-Level Perturbations NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:33:39.467645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acce009c-0393-49ea-a7a9-d118aa8da34c · inbound

Audio Jailbreak Attacks: Exposing Vulnerabilities in SpeechGPT in a White-Box Framework cites this paper.

Audio Jailbreak Attacks: Exposing Vulnerabilities in SpeechGPT in a White-Box Framework NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:07.110867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9c1005d-6da5-4701-ad4b-a3d196cfb89f · inbound

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations cites this paper.

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 270

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:47.176541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07980a83-9295-4dc1-a55c-f5146b5b06e7 · inbound

AudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation cites this paper.

AudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T16:47:56.738747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66d5267e-3512-4829-a45e-6f977e03a8cb · inbound

Schr\"odinger Bridge Mamba for One-Step Speech Enhancement cites this paper.

Schr\"odinger Bridge Mamba for One-Step Speech Enhancement NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T09:12:59.994039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bc17981-6d85-46b7-9710-5c344c87022d · inbound

VABench: A Comprehensive Benchmark for Audio-Video Generation cites this paper.

VABench: A Comprehensive Benchmark for Audio-Video Generation NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:08:43.842814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b5c520e3-968d-4498-a4f7-828dc82af443 · inbound

GenTSE: Enhancing Target Speaker Extraction via a Coarse-to-Fine Generative Language Model cites this paper.

GenTSE: Enhancing Target Speaker Extraction via a Coarse-to-Fine Generative Language Model NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T14:20:49.194237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation accabfca-7a05-4f46-97bc-7fe84ad890bc · inbound

LLM-Guided Reinforcement Learning for Audio-Visual Speech Enhancement cites this paper.

LLM-Guided Reinforcement Learning for Audio-Visual Speech Enhancement NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T18:15:19.385299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fba3f46-deb1-4120-b68d-1e010ce83738 · inbound

Discrete Token Modeling for Multi-Stem Music Source Separation with Language Models cites this paper.

Discrete Token Modeling for Multi-Stem Music Source Separation with Language Models NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:50:58.421331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 286239c9-47a8-4c7a-ae16-bbadbbfbeb63 · inbound

Voice Mapping of Text-to-Speech Systems: A Metric-Based Approach for Voice Quality Assessment cites this paper.

Voice Mapping of Text-to-Speech Systems: A Metric-Based Approach for Voice Quality Assessment NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T01:10:09.297512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d1606140-ce0a-4f09-a6dc-4b181af79233 · inbound

JASTIN: Aligning LLMs for Zero-Shot Audio and Speech Evaluation via Natural Language Instructions cites this paper.

JASTIN: Aligning LLMs for Zero-Shot Audio and Speech Evaluation via Natural Language Instructions NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:01:08.365461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation acb0c766-be82-4ead-aa38-b0a6b470f1f4 · inbound

A Survey of Advancing Audio Super-Resolution and Bandwidth Extension from Discriminative to Generative Models cites this paper.

A Survey of Advancing Audio Super-Resolution and Bandwidth Extension from Discriminative to Generative Models NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:27:53.833743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fd924b34-dd36-43b5-8c1a-a366a3914541 · inbound

Beyond Waveform Robustness: Robust Feature-Vocoder Adversarial Attacks on Automatic Speech Recognition cites this paper.

Beyond Waveform Robustness: Robust Feature-Vocoder Adversarial Attacks on Automatic Speech Recognition NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-02T14:47:04.326382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b6454594-db1d-4567-bde7-bf1accec18b5 · inbound

Feature-Aligned Speech Watermarking for Robustness to Reconstruction Distortions cites this paper.

Feature-Aligned Speech Watermarking for Robustness to Reconstruction Distortions NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:08:08.739075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c8922d62-d0fb-4c6a-990d-4c59296eed29 · inbound

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech cites this paper.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:08:37.814833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a3de0a8f-1d1c-4804-bd6a-984d304ecd90 · inbound

CS-ETS: Chaos-Inspired Samba-Based EMG-To-Speech Synthesis with Nonlinear Chaotic Losses cites this paper.

CS-ETS: Chaos-Inspired Samba-Based EMG-To-Speech Synthesis with Nonlinear Chaotic Losses NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T14:51:46.710045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb0b5c6e-2eb4-4a5e-9dac-db672dcc5553 · inbound

CallScreenBench: Benchmarking On-Device Models as Phone Secretaries cites this paper.

CallScreenBench: Benchmarking On-Device Models as Phone Secretaries NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T00:41:58.389986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19601c4e-067d-4dc4-ac06-f51e5edc8609 · inbound

Beyond Naturalness: Probing Automated Text-To-Speech Evaluators on Linguistically Grounded Dimensions cites this paper.

Beyond Naturalness: Probing Automated Text-To-Speech Evaluators on Linguistically Grounded Dimensions NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-11T04:16:51.721966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.