UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification | Paper Citation Record

Observation 85a3852a-957d-4274-9a2b-e7d27eafb272 · outbound

This paper cites X-vectors: Robust dnn embeddings for speaker recognition,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification X-vectors: Robust dnn embeddings for speaker recognition,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.902939Z

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Observation 69fdf2df-859d-48d8-86c6-2a745a484876 · outbound

This paper cites BUT System Description to VoxCeleb Speaker Recognition Challenge 2019.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification BUT System Description to VoxCeleb Speaker Recognition Challenge 2019

Reference 2

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Observation 2af674d3-cfd1-4a23-8f45-818e1a6d9147 · outbound

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

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.884755Z

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Observation 0d520691-329a-4c69-9cdd-5c2f536476bb · outbound

This paper cites Deep speaker embedding extraction with channel-wise feature responses and additive supervision softmax loss function.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Deep speaker embedding extraction with channel-wise feature responses and additive supervision softmax loss function

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.861685Z

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Observation 4c64aab6-9617-4d20-ae83-6fccf7ec50fc · outbound

This paper cites Frequency and temporal convolutional attention for text-independent speaker recognition,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Frequency and temporal convolutional attention for text-independent speaker recognition,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.839398Z

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Observation 4f51c61c-a466-414c-a3e2-bac613aace72 · outbound

This paper cites Multi-Frequency Information Enhanced Channel Attention Module for Speaker Representation Learning,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Multi-Frequency Information Enhanced Channel Attention Module for Speaker Representation Learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.815080Z

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Observation 6cb61983-4103-45c2-923e-dd3104997895 · outbound

This paper cites Simple attention module based speaker verification with iterative noisy label detection,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Simple attention module based speaker verification with iterative noisy label detection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.779851Z

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Observation 1cc9849b-8ce6-41f2-90ae-4df1c907a485 · outbound

This paper cites S-vectors and tesa: Speaker embeddings and a speaker authenticator based on transformer encoder,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification S-vectors and tesa: Speaker embeddings and a speaker authenticator based on transformer encoder,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.755061Z

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Observation 20395f91-b49f-43e3-8b9b-387cc61d1476 · outbound

This paper cites MFA-Conformer: Multi-scale Feature Aggregation Conformer for Au- tomatic Speaker Verification,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification MFA-Conformer: Multi-scale Feature Aggregation Conformer for Au- tomatic Speaker Verification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.731476Z

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Observation 9625136a-50a8-4cd7-af8e-b6375e656a33 · outbound

This paper cites Improving transformer-based networks with locality for automatic speaker verifica- tion,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Improving transformer-based networks with locality for automatic speaker verifica- tion,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.702471Z

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Observation 7af7a7fc-352e-4bcf-8cec-6ab0ae37d26c · outbound

This paper cites Unispeech-sat: Universal speech representation learning with speaker aware pre-training,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Unispeech-sat: Universal speech representation learning with speaker aware pre-training,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.676353Z

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Observation 13faa91c-e61d-44a9-8830-b70158829011 · outbound

This paper cites Contrastive self-supervised learning for text-independent speaker verification,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Contrastive self-supervised learning for text-independent speaker verification,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.651657Z

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Observation 3ecd39c2-1ff8-4ed9-bc30-c29810a6125e · outbound

This paper cites Self-supervised speaker verification with simple siamese network and self-supervised regularization,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Self-supervised speaker verification with simple siamese network and self-supervised regularization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.627332Z

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Observation ce559160-0546-42ad-bbd2-9043005f105e · outbound

This paper cites Generative adversarial speaker embedding networks for domain robust end-to-end speaker verification,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Generative adversarial speaker embedding networks for domain robust end-to-end speaker verification,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.604779Z

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Observation 64d972b0-3c68-4e18-91ec-0a3fbb5f0674 · outbound

This paper cites Cross-domain adaptation with discrepancy minimization for text-independent forensic speaker verification,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Cross-domain adaptation with discrepancy minimization for text-independent forensic speaker verification,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.583501Z

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Observation 444ca5bd-8982-4e19-a6f0-f4fba01537aa · outbound

This paper cites Deaan: Disentangled embedding and adversarial adaptation network for robust speaker representation learning,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Deaan: Disentangled embedding and adversarial adaptation network for robust speaker representation learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.557967Z

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Observation 37f15214-09a9-4f59-9f93-0f67c29b43d8 · outbound

This paper cites Speaker recognition by machines and humans: A tutorial review,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Speaker recognition by machines and humans: A tutorial review,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.520552Z

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Observation 1d76b549-742a-4094-b085-281f7b3d225c · outbound

This paper cites Speaker verification with short utterances: a review of challenges, trends and opportunities,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Speaker verification with short utterances: a review of challenges, trends and opportunities,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.491623Z

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Observation 0b838abb-5c2d-4eba-9b0e-78ab89e2fc0f · outbound

This paper cites Open-Set Short Utterance Forensic Speaker Verification Using Teacher-Student Network with Explicit Inductive Bias,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Open-Set Short Utterance Forensic Speaker Verification Using Teacher-Student Network with Explicit Inductive Bias,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.470784Z

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Observation 8898b0c3-6a80-4049-9d9d-d5fe3414d609 · outbound

This paper cites Multi-source domain adaptation for text- independent forensic speaker recognition,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Multi-source domain adaptation for text- independent forensic speaker recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.452996Z

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Observation 8971fecf-2cee-4d46-a7e3-778381a39164 · outbound

This paper cites Attention is all you need,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Attention is all you need,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.431983Z

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Observation 7e3f800e-52f8-4cea-a969-8909983b646d · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.413412Z

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Observation 1f7c7081-3ef7-4312-848f-7bb5ad019b86 · outbound

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

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.391908Z

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Observation 154ae312-4f5e-4f31-b068-83ddadde8558 · outbound

This paper cites Wavlm: Large-scale self-supervised pre- training for full stack speech processing,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Wavlm: Large-scale self-supervised pre- training for full stack speech processing,

Reference 24

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Observation 8442f761-86e5-4c42-8165-411377722c48 · outbound

This paper cites Parameter-efficient transfer learning for nlp,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Parameter-efficient transfer learning for nlp,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.357495Z

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Observation 1d95ea35-8f15-40e2-be2e-7a48df6a7f66 · outbound

This paper cites Efficient adapter transfer of self- supervised speech models for automatic speech recognition,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Efficient adapter transfer of self- supervised speech models for automatic speech recognition,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.333664Z

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Observation a41dd757-ebb7-4640-a891-8fcec30885e6 · outbound

This paper cites DRAFT: A Novel Framework to Reduce Domain Shifting in Self-supervised Learning and Its Application to Children’s ASR,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification DRAFT: A Novel Framework to Reduce Domain Shifting in Self-supervised Learning and Its Application to Children’s ASR,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.312452Z

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Observation 7c6fb5c0-64c9-483d-a292-d8cf0a3e2fef · outbound

This paper cites Chapter: Exploiting convolu- tional neural network adapters for self-supervised speech models,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Chapter: Exploiting convolu- tional neural network adapters for self-supervised speech models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.288385Z

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Observation 3924c716-5d31-4e9d-b932-38bb1ff08d81 · outbound

This paper cites Efficient adapter tuning of pre-trained speech models for automatic speaker verification,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Efficient adapter tuning of pre-trained speech models for automatic speaker verification,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.264279Z

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Observation 30994496-c32d-42b0-8a9e-73c5d44d14a9 · outbound

This paper cites Pre- train, prompt, and predict: A systematic survey of prompting methods in natural language processing,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Pre- train, prompt, and predict: A systematic survey of prompting methods in natural language processing,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.239264Z

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Observation 643ecb0f-ef7e-4d26-ab67-a2b65744cb00 · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Prefix-tuning: Optimizing continuous prompts for generation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.218500Z

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Observation 401a6719-c876-48a4-a93d-9ffdf7ab543e · outbound

This paper cites The power of scale for parameter-efficient prompt tuning,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification The power of scale for parameter-efficient prompt tuning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.192433Z

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Observation d9d89f5c-c8c9-41c1-90f6-bb282ecfbca5 · outbound

This paper cites Unipelt: A unified framework for parameter-efficient language model tuning,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Unipelt: A unified framework for parameter-efficient language model tuning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.155071Z

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Observation fefdc62e-a9b6-489f-8f91-30d2f4e02a76 · outbound

This paper cites Parameter-efficient transfer learning of pre-trained trans- former models for speaker verification using adapters,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Parameter-efficient transfer learning of pre-trained trans- former models for speaker verification using adapters,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.125401Z

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Observation 7c86c8ce-3f76-4e2c-8bca-12d16c3869ec · outbound

This paper cites wav2vec: Unsupervised Pre-Training for Speech Recognition,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification wav2vec: Unsupervised Pre-Training for Speech Recognition,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.096592Z

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Observation b91baee9-af3e-401d-862f-2f95bd40e414 · outbound

This paper cites Towards a unified view of parameter-efficient transfer learning,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Towards a unified view of parameter-efficient transfer learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.071098Z

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Observation 7df9a186-790b-4b0a-893b-202f6850f8c0 · outbound

This paper cites Vl-adapter: Parameter-efficient transfer learning for vision-and-language tasks,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Vl-adapter: Parameter-efficient transfer learning for vision-and-language tasks,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.046424Z

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Observation 11e1aa94-9454-4727-a0fc-0fcabaa6671f · outbound

This paper cites Adapt- former: Adapting vision transformers for scalable visual recognition,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Adapt- former: Adapting vision transformers for scalable visual recognition,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:03.017838Z

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Observation b4593ace-14c5-47d8-8641-f77425e80c01 · outbound

This paper cites Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:02.994284Z

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Observation 4885fc2d-ad2e-498e-b5c4-839ab7c044e3 · outbound

This paper cites Adapt-and-Adjust: Over- coming the Long-Tail Problem of Multilingual Speech Recognition,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Adapt-and-Adjust: Over- coming the Long-Tail Problem of Multilingual Speech Recognition,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:02.972969Z

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Observation 8b4576f4-91b2-4d72-b8f0-f902113cf809 · outbound

This paper cites Exploiting adapters for cross-lingual low-resource speech recognition,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Exploiting adapters for cross-lingual low-resource speech recognition,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:02.943105Z

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Observation 81ff481a-65fb-47d9-b804-5092a723604d · outbound

This paper cites Parameter efficient transfer learning for various speech processing tasks,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Parameter efficient transfer learning for various speech processing tasks,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:02.917577Z

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Observation 3299e1a5-a752-431c-a986-3b34a7e3d027 · outbound

This paper cites Language models are unsupervised multitask learners,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Language models are unsupervised multitask learners,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T12:35:02.184504Z

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Observation 4d9bf67e-2807-4349-ac5d-e3d4f9d639bd · outbound

This paper cites Language models are few-shot learners,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Language models are few-shot learners,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:02.880432Z

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Observation a16ea2ac-c48d-4d2a-a2aa-21317d93527e · outbound

This paper cites GPT Understands, Too.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification GPT Understands, Too

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T12:35:02.200490Z

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Observation 932e1be5-01e4-42b7-a375-3ce9c22b2516 · outbound

This paper cites P-tuning: Prompt tuning can be comparable to fine-tuning across scales and tasks,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification P-tuning: Prompt tuning can be comparable to fine-tuning across scales and tasks,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:02.856791Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6f10ee25-32d1-46ca-a19c-e49b1b509b02 · outbound

This paper cites Visual prompt tuning,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Visual prompt tuning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:02.836251Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5b27a963-e84a-4872-a40f-ec5fde3d6528 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Learning transferable visual models from natural language supervi- sion,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:02.815692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 58458dde-52a8-49e1-bd11-393b230ff054 · outbound

This paper cites Learning to prompt for vision- language models,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Learning to prompt for vision- language models,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T12:35:02.226588Z

Source-reported events for the cited work

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Observation 075bdb58-f702-4b6f-a3d3-4a9bcfa466cc · outbound

This paper cites An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:02.779529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e1bdc8f6-2db6-4f87-9948-300ae4b8451e · outbound

This paper cites SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T12:35:02.237689Z

Source-reported events for the cited work

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Observation ea5cb3e8-5630-4696-941d-b658b9f4df27 · outbound

This paper cites Integrated Parameter-Efficient Tuning for General-Purpose Audio Models.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Integrated Parameter-Efficient Tuning for General-Purpose Audio Models

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-10T12:35:02.431896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4d8c09d5-39bd-4aa9-bec0-bd34ef22584d · outbound

This paper cites Ast: Audio spectrogram trans- former,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Ast: Audio spectrogram trans- former,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:02.751007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6acc96a5-f6a3-4edc-8424-0f80b10453be · outbound

This paper cites Dual parameter-efficient fine-tuning for speaker representation via speaker prompt tuning and adapters,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Dual parameter-efficient fine-tuning for speaker representation via speaker prompt tuning and adapters,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:02.718902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 85d30695-894f-4ddb-99a5-689bab1cd62f · outbound

This paper cites SUPERB: Speech Processing Universal PERformance Benchmark,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification SUPERB: Speech Processing Universal PERformance Benchmark,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:02.692878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 21e844c3-7ccf-448d-84f2-e201266b855f · outbound

This paper cites V oxceleb: A large-scale speaker identification dataset,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification V oxceleb: A large-scale speaker identification dataset,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:02.667392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3c5dd04b-1757-49aa-8a0e-cd969cf691bc · outbound

This paper cites V oxceleb2: Deep speaker recognition,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification V oxceleb2: Deep speaker recognition,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:02.642547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b920f111-5e02-43fb-8da3-84f47736cff9 · outbound

This paper cites Cn-celeb: a challenging chinese speaker recogni- tion dataset,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Cn-celeb: a challenging chinese speaker recogni- tion dataset,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:35:02.616484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bffc105d-928c-43c5-992f-d4d8a7cd9c01 · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Understanding the difficulty of training deep feedforward neural networks,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T12:35:02.287531Z

Source-reported events for the cited work

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Observation d9017eaf-de80-4f94-a7c8-6d032c0c8cc5 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Adam: A Method for Stochastic Optimization

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T12:35:02.293798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2292dba1-c3bc-41c8-aa35-96cfd4b3ee44 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Arcface: Additive angular margin loss for deep face recognition,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T12:35:02.301524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5d1f767-50e1-475c-9571-3fc04f000d06 · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification LoRA: Low-rank adaptation of large language models,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T12:35:02.310538Z

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