HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification | Paper Citation Record

Observation ff06e62c-2d41-4854-af30-fdc95e5b0ed0 · outbound

This paper cites Optuna: A Next-generation Hyperparameter Optimization Framework.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Optuna: A Next-generation Hyperparameter Optimization Framework

Reference 1

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Observation e36f2734-ddd6-46dc-aae0-f52c8839671b · outbound

This paper cites Common V oice: A Massively-Multilingual Speech Corpus.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Common V oice: A Massively-Multilingual Speech Corpus

Reference 2

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Observation eedb6521-c831-40ae-a34c-2d47c736e457 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations.Advances in neural information processing systems, 33:12449–12460, 2020.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification wav2vec 2.0: A framework for self-supervised learning of speech representations.Advances in neural information processing systems, 33:12449–12460, 2020

Reference 3

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Observation cca498df-9210-42f1-98e1-0e094cb27da9 · outbound

This paper cites HeAR -- Health Acoustic Representations.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification HeAR -- Health Acoustic Representations

Reference 4

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This paper cites pyannote.audio: neural building blocks for speaker diarization.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification pyannote.audio: neural building blocks for speaker diarization

Reference 5

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This paper cites Iemocap: Interactive emotional dyadic motion capture database.Language resources and evaluation, 42:335–359, 2008.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Iemocap: Interactive emotional dyadic motion capture database.Language resources and evaluation, 42:335–359, 2008

Reference 6

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This paper cites GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

Reference 7

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This paper cites Wavlm: Large-scale self-supervised pre- training for full stack speech processing.IEEE Journal of Selected Topics in Signal Processing, 16(6):1505–1518, 2022.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Wavlm: Large-scale self-supervised pre- training for full stack speech processing.IEEE Journal of Selected Topics in Signal Processing, 16(6):1505–1518, 2022

Reference 8

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This paper cites Unsupervised cross-lingual representation learning for speech recognition.Interspeech 2021, 2021.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Unsupervised cross-lingual representation learning for speech recognition.Interspeech 2021, 2021

Reference 9

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HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Unresolved cited work

Reference 10

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This paper cites Number 2.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Number 2

Reference 11

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Observation 9d928774-7e8d-4760-9eb0-c03751c53f34 · outbound

This paper cites Survey on biomarkers in human vocalizations.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Survey on biomarkers in human vocalizations

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:03:36.762505Z

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This paper cites Feature Extraction Techniques in Speech Processing: A Survey.International Journal of Computer Applications, 107(5):1–8, December 2014.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Feature Extraction Techniques in Speech Processing: A Survey.International Journal of Computer Applications, 107(5):1–8, December 2014

Reference 13

Resolution: verified exact; doi, observed 2026-08-07T15:03:35.118750Z

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This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units.IEEE/ACM transactions on audio, speech, and language processing, 29:3451–3460, 2021.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Hubert: Self-supervised speech representation learning by masked prediction of hidden units.IEEE/ACM transactions on audio, speech, and language processing, 29:3451–3460, 2021

Reference 14

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This paper cites Copdvd: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset.Artificial Intelligence in Medicine, 156: 102953, 2024.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Copdvd: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset.Artificial Intelligence in Medicine, 156: 102953, 2024

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:42.077006Z

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Observation 4de8adca-81d7-4231-915c-3ef0f30dfb22 · outbound

This paper cites Speaker identification through artificial intelligence techniques: A comprehensive review and research challenges.Expert Systems with Applications, 171:114591, 2021.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Speaker identification through artificial intelligence techniques: A comprehensive review and research challenges.Expert Systems with Applications, 171:114591, 2021

Reference 16

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

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Libri-light: A benchmark for asr with limited or no supervision

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:41.500821Z

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This paper cites LightGBM: A Highly Efficient Gradient Boosting Deci- sion Tree.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification LightGBM: A Highly Efficient Gradient Boosting Deci- sion Tree

Reference 18

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HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Unresolved cited work

Reference 19

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This paper cites Phenome-wide associations of sleep characteristics in the Human Phenotype Project.Nature Medicine, 31(3):1026–1037, March 2025.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Phenome-wide associations of sleep characteristics in the Human Phenotype Project.Nature Medicine, 31(3):1026–1037, March 2025

Reference 20

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This paper cites Gender and Age Estimation Methods Based on Speech Using Deep Neural Networks.Sensors (Basel, Switzerland), 21(14):4785, July 2021.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Gender and Age Estimation Methods Based on Speech Using Deep Neural Networks.Sensors (Basel, Switzerland), 21(14):4785, July 2021

Reference 21

Resolution: verified exact; doi, observed 2026-08-07T15:03:34.624355Z

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This paper cites Covid-19 artificial intelligence diagnosis using only cough recordings.IEEE Open Journal of Engineering in Medicine and Biology, 1: 275–281, 2020.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Covid-19 artificial intelligence diagnosis using only cough recordings.IEEE Open Journal of Engineering in Medicine and Biology, 1: 275–281, 2020

Reference 22

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This paper cites Survey of deep representation learning for speech emotion recognition.IEEE Transactions on Affective Computing, 14(2):1634–1654, 2021.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Survey of deep representation learning for speech emotion recognition.IEEE Transactions on Affective Computing, 14(2):1634–1654, 2021

Reference 23

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HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Unresolved cited work

Reference 24

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This paper cites Detecting Cognitive Decline Using Speech Only: The ADReSSo Challenge.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Detecting Cognitive Decline Using Speech Only: The ADReSSo Challenge

Reference 25

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This paper cites ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development

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HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Unresolved cited work

Reference 27

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This paper cites Automatic speaker verification systems and spoof detection techniques: review and analysis.International Journal of Speech Technology, 25(1):105–134, 2022.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Automatic speaker verification systems and spoof detection techniques: review and analysis.International Journal of Speech Technology, 25(1):105–134, 2022

Reference 28

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Observation 8d725437-679f-4160-8817-7af1d1a51947 · outbound

This paper cites Study of the performance of automatic speech recognition systems in speakers with parkinson’s disease.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Study of the performance of automatic speech recognition systems in speakers with parkinson’s disease

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:39.813561Z

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HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Unresolved cited work

Reference 30

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This paper cites V oxceleb: Large-scale speaker verification in the wild.Computer Speech & Language, 60:101027, 2020.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification V oxceleb: Large-scale speaker verification in the wild.Computer Speech & Language, 60:101027, 2020

Reference 31

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This paper cites The coughvid crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms.Scientific Data, 8(1):156, 2021.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification The coughvid crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms.Scientific Data, 8(1):156, 2021

Reference 32

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This paper cites Librispeech: an asr corpus based on public domain audio books.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Librispeech: an asr corpus based on public domain audio books

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This paper cites A german database of patterns of pathological vocal fold vibration.Phonus, 3:143–153, 1997.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification A german database of patterns of pathological vocal fold vibration.Phonus, 3:143–153, 1997

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Observation 27c91a71-7075-4c38-9c84-3c05a8d17e38 · outbound

This paper cites SpeechBrain: A General-Purpose Speech Toolkit.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification SpeechBrain: A General-Purpose Speech Toolkit

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This paper cites The Third DIHARD Diarization Challenge.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification The Third DIHARD Diarization Challenge

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This paper cites Evaluation of speech and pause alterations in patients with acute and chronic heart failure.Journal of the American Heart Association, 11(21):e027023, 2022.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Evaluation of speech and pause alterations in patients with acute and chronic heart failure.Journal of the American Heart Association, 11(21):e027023, 2022

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Observation 91dad948-b8da-48bc-baf6-be3feaa7cbc6 · outbound

This paper cites Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis

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This paper cites 10 K: a large-scale prospective longitudinal study in Israel.European Journal of Epidemiology, 36(11):1187–1194, November 2021.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification 10 K: a large-scale prospective longitudinal study in Israel.European Journal of Epidemiology, 36(11):1187–1194, November 2021

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Observation e5e4bf8e-0455-4785-8340-2ca860bf1ce4 · outbound

This paper cites X-Vectors: Robust DNN Embeddings for Speaker Recognition.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification X-Vectors: Robust DNN Embeddings for Speaker Recognition

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Observation ef0aee27-88a2-4cae-968f-36fc5e49f657 · outbound

This paper cites Comparison of speech tasks and recording devices for voice based automatic classification of healthy subjects and patients with amyotrophic lateral sclerosis.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Comparison of speech tasks and recording devices for voice based automatic classification of healthy subjects and patients with amyotrophic lateral sclerosis

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:38.278926Z

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Observation 1ad11b27-5004-4f2f-9974-1f63f11f2770 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Efficientnet: Rethinking model scaling for convolutional neural networks

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Observation b4a36263-7da7-4af6-b59b-538369d5a5eb · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 43

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Observation 667e7095-a84a-45a1-b203-9a12749bc16f · outbound

This paper cites Early dementia detection using multiple spontaneous speech prompts: The process challenge.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Early dementia detection using multiple spontaneous speech prompts: The process challenge

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:37.955031Z

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Observation 5497cff9-ca9c-4d59-be1a-35501d56a60b · outbound

This paper cites Ray Dorsey, and Adam V ogel.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Ray Dorsey, and Adam V ogel

Reference 45

Resolution: verified exact; doi, observed 2026-08-07T15:03:33.930434Z

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Observation 3cfacb16-af02-45e6-9163-d43e839a6056 · outbound

This paper cites VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation

Reference 46

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Observation 0a14560d-c012-4180-9396-14040a0f2328 · outbound

This paper cites Speech Emotion Diarization: Which Emotion Appears When?.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Speech Emotion Diarization: Which Emotion Appears When?

Reference 47

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Observation 01bd70cb-f87b-4d36-9553-746c99c0a10f · outbound

This paper cites A comprehensive review of speech emotion recognition systems.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification A comprehensive review of speech emotion recognition systems

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:37.657161Z

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Observation 26ae48ae-a54d-4374-8d4c-091405627585 · outbound

This paper cites Quantifying talk: developing reliable measures of verbal productivity.Behavior research methods, 43:168–178, 2011.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Quantifying talk: developing reliable measures of verbal productivity.Behavior research methods, 43:168–178, 2011

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:37.401094Z

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 398c6fa1-ceae-4ef8-a034-6e8df484fb9a · outbound

This paper cites Superb: Speech processing universal performance benchmark.Interspeech 2021, 2021.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification Superb: Speech processing universal performance benchmark.Interspeech 2021, 2021

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:33.395624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f346085e-7d80-4562-b430-ce6fb7ade033 · outbound

This paper cites A Large-Scale Evaluation of Speech Foundation Models.

HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification A Large-Scale Evaluation of Speech Foundation Models

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:03:35.459437Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers