Paper Citation Record · LEDGER

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling

As of 23 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 5 inbound Pith citation observations for arXiv:2502.02942.

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

pith.paper-citation-record.v1
2502.02942 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:37:03.781195Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:04:57.555362Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T13:12:18.207183Z

Reference resolution

48 of 48 outbound references displayed

verified exact4
verified fuzzy20
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06c49604-3c9a-4dd1-8f00-73114a9b30ea · outbound

This paper cites APCodec: A Neural Audio Codec with Parallel Amplitude and Phase Spectrum Encoding and Decoding.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling APCodec: A Neural Audio Codec with Parallel Amplitude and Phase Spectrum Encoding and Decoding

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.556157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f9c9a7a-a4bb-4285-bb43-bec73dc56985 · outbound

This paper cites an unresolved cited work.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-09T10:37:04.289191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 31249799-37a2-4892-b4d0-c234593b4b53 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning for Speech Recognition.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Unsupervised Cross-lingual Representation Learning for Speech Recognition

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.570902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbe90fbe-7b1b-4277-9412-1d6f0bcfd610 · outbound

This paper cites High Fidelity Neural Audio Compression.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling High Fidelity Neural Audio Compression

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.575758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92ae16bd-9663-40d1-8f3b-627c34399576 · outbound

This paper cites PolyVoice: Language Models for Speech to Speech Translation.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling PolyVoice: Language Models for Speech to Speech Translation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.580194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e841061e-bef3-4a40-b3aa-58a2eca8e5f3 · outbound

This paper cites an unresolved cited work.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-09T10:37:04.257698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 48a5a75d-e41e-476f-9180-c9c63600d22c · outbound

This paper cites Variational autoencoder for speech enhancement with a noise-aware encoder.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Variational autoencoder for speech enhancement with a noise-aware encoder

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.547934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 12139086-bc1d-4c2b-a568-7ebed5a690f8 · outbound

This paper cites Fullsubnet: A full-band and sub-band fusion model for real-time single-channel speech enhancement.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Fullsubnet: A full-band and sub-band fusion model for real-time single-channel speech enhancement

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.517963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f2468bc9-e5a0-4d90-89f6-93ce67188133 · outbound

This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Hubert: Self-supervised speech representation learning by masked prediction of hidden units

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.502747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9e98d6b6-d2a6-4112-9438-43f1561609be · outbound

This paper cites ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-09T10:37:04.145349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d5073d6b-362b-4ea3-9cd6-5d5a8f4957a7 · outbound

This paper cites Language-Codec: Bridging Discrete Codec Representations and Speech Language Models.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Language-Codec: Bridging Discrete Codec Representations and Speech Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.620875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69673469-7183-4116-9255-789da0f976fc · outbound

This paper cites Libri- light: A benchmark for asr with limited or no supervision.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Libri- light: A benchmark for asr with limited or no supervision

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.488624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 22716251-6203-4a62-82f4-731b6ca1ba61 · outbound

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

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling A study on data augmentation of reverberant speech for robust speech recognition

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.473837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 949cdf6a-c968-43eb-a060-482e25189ce8 · outbound

This paper cites Lan- guage models as controlled natural language semantic parsers for knowledge graph question an- swering.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Lan- guage models as controlled natural language semantic parsers for knowledge graph question an- swering

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.459166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 12f57c02-ea07-424d-9f4b-e8d8571dd0f1 · outbound

This paper cites Single-Codec: Single-Codebook Speech Codec towards High-Performance Speech Generation.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Single-Codec: Single-Codebook Speech Codec towards High-Performance Speech Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.648039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 873e4451-21d3-4a4d-a091-16da579da7c4 · outbound

This paper cites Noise Tokens: Learning Neural Noise Templates for Environment-Aware Speech Enhancement.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Noise Tokens: Learning Neural Noise Templates for Environment-Aware Speech Enhancement

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-09T10:37:04.059313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 76e3ce1d-53e6-45d8-9dea-2b7133e179f0 · outbound

This paper cites VoiceFixer: Toward General Speech Restoration with Neural Vocoder.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling VoiceFixer: Toward General Speech Restoration with Neural Vocoder

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.661876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b44fc7fe-1069-487b-b416-2d2cd9e14006 · outbound

This paper cites SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Sound.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Sound

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.666522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21fbec8c-b87a-481f-b3a2-7836e1134c6f · outbound

This paper cites Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.444577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 17a3139c-8abc-47f6-aac1-38c28d6113b0 · outbound

This paper cites Finite Scalar Quantization: VQ-VAE Made Simple.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Finite Scalar Quantization: VQ-VAE Made Simple

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.675402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6acf754b-dbc7-405d-9b67-22473d9c8e3c · outbound

This paper cites Dnsmos p.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Dnsmos p

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.429747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 55d42621-87a4-4fd1-9fda-f5cc23ccb46d · outbound

This paper cites Fewer-token neural speech codec with time-invariant codes.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Fewer-token neural speech codec with time-invariant codes

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.414676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fe002d0a-cc8c-41e1-a026-f26f74bb9db9 · outbound

This paper cites UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.693127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c76a641e-ac99-424b-84f4-67a3546f93d4 · outbound

This paper cites Universal Score-based Speech Enhancement with High Content Preservation.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Universal Score-based Speech Enhancement with High Content Preservation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.697677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acc77a20-f55a-4746-86b1-74de8fce3ff3 · outbound

This paper cites Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.701969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b30ab931-29a9-4a06-b78d-1c13f78ceb4b · outbound

This paper cites The voice bank corpus: Design, collection and data analysis of a large regional accent speech database.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling The voice bank corpus: Design, collection and data analysis of a large regional accent speech database

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.399196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 464655a4-19bf-40e4-abcb-5fcbbed33fcb · outbound

This paper cites WHAM!: Extending Speech Separation to Noisy Environments.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling WHAM!: Extending Speech Separation to Noisy Environments

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.716408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afa3289d-9183-4eda-a8c8-8ba17ff32094 · outbound

This paper cites Audiodec: An open-source streaming high-fidelity neural audio codec.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Audiodec: An open-source streaming high-fidelity neural audio codec

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.383185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1322981d-a653-44ed-a58f-ded95262096f · outbound

This paper cites HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.726917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9203ab6-3161-42cd-8002-275405161514 · outbound

This paper cites LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.731933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0c6c1ff-b73b-4952-93c3-ec6c44925d76 · outbound

This paper cites Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-09T10:37:03.844720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5cc50158-7a0e-45a4-ac35-9bf2cd84f3ad · outbound

This paper cites SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.741448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ef73369-47ff-47a4-8da5-f840c90aaa53 · outbound

This paper cites We discuss several common questions for the design of GenSE.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling We discuss several common questions for the design of GenSE

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.368095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation abf7d858-0d37-46c7-ad03-e6066347135e · outbound

This paper cites On the other hand, we chose XLSR as the semantic extractor due to the key advantage of its multilin- gual speech representation capabilities.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling On the other hand, we chose XLSR as the semantic extractor due to the key advantage of its multilin- gual speech representation capabilities

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.353500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c74d7a16-07f5-49f5-bded-6d167a258413 · outbound

This paper cites To address this limitation, we also conducted an ABX test to assess the perceptual quality of the enhanced speech compared to clean speech, as shown in Figure.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling To address this limitation, we also conducted an ABX test to assess the perceptual quality of the enhanced speech compared to clean speech, as shown in Figure

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.337453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3d73fd3b-356c-4181-a7f4-f86cd57c86b2 · outbound

This paper cites No Preference.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling No Preference

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.320599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 36e4c198-c62a-4e1c-a0e0-5a05278cb404 · outbound

This paper cites We also observe that finite scalar quantization (FSQ) (Mentzer et al., 2023a) demonstrates lower reconstruction quality.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling We also observe that finite scalar quantization (FSQ) (Mentzer et al., 2023a) demonstrates lower reconstruction quality

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.273771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 12ea5c2a-2b9b-40a2-965f-1b5b29361e4c · outbound

This paper cites We employ the AdamW optimizer with a learning rate of 1e-4 to optimize the codec model.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling We employ the AdamW optimizer with a learning rate of 1e-4 to optimize the codec model

Reference 128

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.305095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e5545a6d-5a73-46d4-8d01-d56cb98ebb8f · outbound

This paper cites Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.711308Z

Source-reported events for the cited work

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Observation a752c229-8f33-415f-8e9c-fcfa022b4eb1 · outbound

This paper cites Interspeech 2021 Deep Noise Suppression Challenge.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Interspeech 2021 Deep Noise Suppression Challenge

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.680242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df688006-3bb2-455e-8e55-212d5ed86908 · outbound

This paper cites Funcodec: A fundamental, reproducible and integrable open-source toolkit for neural speech codec.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Funcodec: A fundamental, reproducible and integrable open-source toolkit for neural speech codec

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.562354Z

Source-reported events for the cited work

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Observation dc161ac4-b595-45a0-b79e-f979fe65ab21 · outbound

This paper cites NU-GAN: High resolution neural upsampling with GAN.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling NU-GAN: High resolution neural upsampling with GAN

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.638921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c4c018e-0e23-4898-976b-24d6cfb1cec1 · outbound

This paper cites Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech

Reference 2019

Resolution: verified exact; local_arxiv, observed 2026-08-09T10:37:04.166692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9c711ee6-7141-46e4-a003-909bbdfd5f41 · outbound

This paper cites Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.657296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32685557-cfe0-42df-8a48-0100d4aa5dea · outbound

This paper cites Metricgan: Generative adversarial net- works based black-box metric scores optimization for speech enhancement.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Metricgan: Generative adversarial net- works based black-box metric scores optimization for speech enhancement

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.532634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 48941f34-dddc-46bc-9f8d-d1e66e99fbc8 · outbound

This paper cites SoundStorm: Efficient Parallel Audio Generation.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling SoundStorm: Efficient Parallel Audio Generation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.566091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72b5b59b-50fd-4783-9f12-2e1ab27da007 · outbound

This paper cites NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T10:37:03.625975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31880e8c-2126-42e5-8443-ce43a3992637 · outbound

This paper cites Unsupervised speech en- hancement using dynamical variational autoencoders.IEEE/ACM Transactions on Audio, Speech, and Language Processing, 30:2993–3007,.

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Unsupervised speech en- hancement using dynamical variational autoencoders.IEEE/ACM Transactions on Audio, Speech, and Language Processing, 30:2993–3007,

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:37:04.577005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 0934fbbf-1b5d-4e48-a3c9-4affd5419835 · inbound

SwitchCodec: A High-Fidelity Nerual Audio Codec With Sparse Quantization cites this paper.

SwitchCodec: A High-Fidelity Nerual Audio Codec With Sparse Quantization GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:12:18.210108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f00852ae-a811-43fc-8049-a209cc68b5ad · inbound

From Continuous to Discrete: Cross-Domain Collaborative General Speech Enhancement via Hierarchical Language Models cites this paper.

From Continuous to Discrete: Cross-Domain Collaborative General Speech Enhancement via Hierarchical Language Models GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T18:04:57.555362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fd7e768-dd26-4c45-b1b6-e75b77c43489 · 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 GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T14:20:49.180965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32b38a54-4b1a-46c1-afd9-a606c2a2009d · inbound

UniPASE: A Generative Model for Universal Speech Enhancement with High Fidelity and Low Hallucinations cites this paper.

UniPASE: A Generative Model for Universal Speech Enhancement with High Fidelity and Low Hallucinations GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:19:19.986900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0edcb4b6-3f4a-40e9-b27e-001503530b53 · inbound

UniPASE: A Generative Model for Universal Speech Enhancement with High Fidelity and Low Hallucinations cites this paper.

UniPASE: A Generative Model for Universal Speech Enhancement with High Fidelity and Low Hallucinations GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T16:16:37.017642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.