Recovering the Zipfian Distribution in Unsupervised Term Discovery | Paper Citation Record

Observation 33ca258e-e33c-4e5f-8f4e-a9b6dc5d3761 · outbound

This paper cites Bridging the gap between speech technology and natural language processing: An evaluation toolbox for term discovery systems,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Bridging the gap between speech technology and natural language processing: An evaluation toolbox for term discovery systems,

Reference 1

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Observation 9f22b7ae-41b3-4379-b0d2-e0c9d9988b52 · outbound

This paper cites Statistical learning by 8-month-old infants,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Statistical learning by 8-month-old infants,

Reference 2

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Observation ded4d828-2b48-492d-bfe7-da7462ace089 · outbound

This paper cites Some critical developments in acquiring native language sound organization during the first year,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Some critical developments in acquiring native language sound organization during the first year,

Reference 3

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Observation ceb80ce5-ea4a-4042-93bc-3b18665c6f2b · outbound

This paper cites At 6-9 months, human infants know the meanings of many common nouns,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery At 6-9 months, human infants know the meanings of many common nouns,

Reference 4

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Observation 01ec05e9-53b7-41fa-8ed6-5d82ff65aab1 · outbound

This paper cites Computational modeling of phonetic and lexical learning in early language acquisition: Existing models and future directions,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Computational modeling of phonetic and lexical learning in early language acquisition: Existing models and future directions,

Reference 5

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Observation 94e00d4b-e7bd-419a-85da-a9199b146de9 · outbound

This paper cites Cognitive science in the era of artificial intelligence: A roadmap for reverse-engineering the infant language-learner,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Cognitive science in the era of artificial intelligence: A roadmap for reverse-engineering the infant language-learner,

Reference 6

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Observation 475b7f92-2d77-4bea-a9e0-591adea6f8e8 · outbound

This paper cites Automatic speech recognition for under-resourced languages: A survey,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Automatic speech recognition for under-resourced languages: A survey,

Reference 7

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Observation 740c7f72-79e6-48ce-8888-660c9dc9de8a · outbound

This paper cites Unsupervised pattern discovery in speech,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Unsupervised pattern discovery in speech,

Reference 8

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Observation a0efaa93-31ae-4e25-b831-16fa033d260e · outbound

This paper cites An evaluation of graph clustering methods for unsupervised term discovery,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery An evaluation of graph clustering methods for unsupervised term discovery,

Reference 9

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Observation d21e99dc-9212-486e-9721-c95371a3cc21 · outbound

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

Recovering the Zipfian Distribution in Unsupervised Term Discovery HuBERT: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 10

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Observation db259ffe-ba4e-4df4-9c4b-2dc128e79207 · outbound

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

Recovering the Zipfian Distribution in Unsupervised Term Discovery WavLM: Large-scale self-supervised pre-training for full stack speech processing,

Reference 11

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Observation 9743702c-9042-46ae-993e-1f5466090f05 · outbound

This paper cites Unsupervised lexicon discovery from acoustic input,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Unsupervised lexicon discovery from acoustic input,

Reference 12

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Observation d541576c-7ec3-4366-97d5-7d3ce6bdb2a4 · outbound

This paper cites Unsupervised word discovery from speech using automatic segmentation into syllable-like units,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Unsupervised word discovery from speech using automatic segmentation into syllable-like units,

Reference 13

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Observation 98b226bf-3d73-43c9-9678-c0c4f096ff9d · outbound

This paper cites An embedded segmental k-means model for unsupervised segmentation and clustering of speech,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery An embedded segmental k-means model for unsupervised segmentation and clustering of speech,

Reference 14

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Observation 6139b26f-e6f8-4eb5-b80c-4c58db2d2e54 · outbound

This paper cites Self-expressing autoencoders for unsupervised spoken term discovery,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Self-expressing autoencoders for unsupervised spoken term discovery,

Reference 15

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Observation cbacb8d5-753d-4054-9b46-96130bf08a27 · outbound

This paper cites Segmental contrastive predictive coding for unsupervised word segmentation,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Segmental contrastive predictive coding for unsupervised word segmentation,

Reference 16

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Observation c043df50-e2db-49a6-bd6c-a898d98e2284 · outbound

This paper cites DP-Parse: Finding word boundaries from raw speech with an instance lexicon,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery DP-Parse: Finding word boundaries from raw speech with an instance lexicon,

Reference 17

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Observation 1e21dc2a-ac45-4870-bd9d-2fa01e38aa25 · outbound

This paper cites Contrastive prediction strategies for unsupervised segmentation and categorization of phonemes and word,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Contrastive prediction strategies for unsupervised segmentation and categorization of phonemes and word,

Reference 18

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Observation 5643fc0a-86e9-49a1-8117-3bc8800fa8a8 · outbound

This paper cites Double articulation analyzer with prosody for unsupervised word and phone discovery,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Double articulation analyzer with prosody for unsupervised word and phone discovery,

Reference 19

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Observation 25802d43-2ccb-4698-ba51-5024f5af17b9 · outbound

This paper cites Word segmentation on discovered phone units with dynamic programming and self-supervised scoring,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Word segmentation on discovered phone units with dynamic programming and self-supervised scoring,

Reference 20

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Observation 424106b9-1203-4d47-ac49-d8e6f15db1f2 · outbound

This paper cites Spoken- term discovery using discrete speech units,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Spoken- term discovery using discrete speech units,

Reference 21

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Observation 1a493fec-3931-4380-a83d-cdb25dbf27e9 · outbound

This paper cites What do self- supervised speech models know about words?,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery What do self- supervised speech models know about words?,

Reference 22

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Observation 0dc98f8a-ada3-4c61-ac96-6378eb8d917f · outbound

This paper cites Unsupervised word discovery: Boundary detection with clustering vs. dynamic programming,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Unsupervised word discovery: Boundary detection with clustering vs. dynamic programming,

Reference 23

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Observation db666415-af49-4cd5-83ae-3157c8a9186b · outbound

This paper cites Zipf’s word frequency law in natural language: a critical review and future directions.,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Zipf’s word frequency law in natural language: a critical review and future directions.,

Reference 24

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Observation 19893f16-50cb-4e00-ad08-3892c0e7a031 · outbound

This paper cites BIRCH: An efficient data clustering method for very large databases,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery BIRCH: An efficient data clustering method for very large databases,

Reference 25

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Observation b381e51d-57c9-42b9-b082-b4bccffeee85 · outbound

This paper cites A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models,

Reference 26

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Observation 3cd3632b-e9ad-4df1-8589-1982cf864822 · outbound

This paper cites an unresolved cited work.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Unresolved cited work

Reference 27

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Observation 8e5fef95-7e86-4596-acc9-e19de9e12473 · outbound

This paper cites Sylber: Syllabic embedding representation of speech from raw audio,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Sylber: Syllabic embedding representation of speech from raw audio,

Reference 28

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Observation 50d31bae-8bcb-4526-8017-1805c23b1c50 · outbound

This paper cites SyllableLM: Learning coarse semantic units for speech language models,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery SyllableLM: Learning coarse semantic units for speech language models,

Reference 29

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Observation 60df2821-221e-4fd1-a920-f47208c38474 · outbound

This paper cites ZeroSyl: Simple zero-resource syllable tokenization for spoken language modeling,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery ZeroSyl: Simple zero-resource syllable tokenization for spoken language modeling,

Reference 30

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Observation cb099901-107a-4954-af15-05b512f6acc4 · outbound

This paper cites Fixed-dimensional acoustic embeddings of variable-length segments in low-resource settings,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Fixed-dimensional acoustic embeddings of variable-length segments in low-resource settings,

Reference 31

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Observation 4e2e7ddd-f6c1-4c3d-8a3a-a8431f513de7 · outbound

This paper cites Leveraging multilingual transfer for unsu- pervised semantic acoustic word embeddings,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Leveraging multilingual transfer for unsu- pervised semantic acoustic word embeddings,

Reference 32

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Observation 17c1bd09-9974-465f-b9ae-8d97e0f96e5f · outbound

This paper cites Low-resource keyword spotting using contrastively trained transformer acoustic word embeddings.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Low-resource keyword spotting using contrastively trained transformer acoustic word embeddings

Reference 33

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Observation 9d972830-7cd2-4eff-a5cd-5a148d489585 · outbound

This paper cites From Louvain to Leiden: Guaranteeing well-connected communities,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery From Louvain to Leiden: Guaranteeing well-connected communities,

Reference 34

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Observation 8986a474-e66e-4f39-bc6a-d51a3b7a954e · outbound

This paper cites Narrow scope for resolution- limit-free community detection.,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Narrow scope for resolution- limit-free community detection.,

Reference 35

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This paper cites Fast algorithm for detecting community structure in networks,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Fast algorithm for detecting community structure in networks,

Reference 36

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Observation e32b2071-ae9f-4312-83a9-0f708cc6cf13 · outbound

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Recovering the Zipfian Distribution in Unsupervised Term Discovery Fast unfolding of communities in large networks,

Reference 37

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Observation e89dbb0c-fb5d-44bc-9655-e07ce5f113d3 · outbound

This paper cites Hierarchical clustering schemes,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Hierarchical clustering schemes,

Reference 38

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Observation 58375993-f9f2-4357-8c5b-8407f55e6d09 · outbound

This paper cites Nielsen,Introduction to HPC with MPI for Data Science, ch.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Nielsen,Introduction to HPC with MPI for Data Science, ch

Reference 39

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This paper cites Ward’s hierarchical agglomerative clustering method: Which algorithms implement Ward’s criterion?,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Ward’s hierarchical agglomerative clustering method: Which algorithms implement Ward’s criterion?,

Reference 40

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This paper cites The infinite Gaussian mixture model,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery The infinite Gaussian mixture model,

Reference 41

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Observation 525c31b1-7f7d-4633-98a8-7645afd7c0a8 · outbound

This paper cites Unsupervised lexical clustering of speech segments using fixed-dimensional acoustic embeddings,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Unsupervised lexical clustering of speech segments using fixed-dimensional acoustic embeddings,

Reference 42

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Observation a7a9538b-1414-4b94-84bb-d2de60ac377b · outbound

This paper cites LibriSpeech: An ASR corpus based on public domain audio books,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery LibriSpeech: An ASR corpus based on public domain audio books,

Reference 43

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Observation 56562858-40b1-4abd-8e2f-ad817ae92e66 · outbound

This paper cites FLEURS: Few-shot learning evaluation of universal representations of speech,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery FLEURS: Few-shot learning evaluation of universal representations of speech,

Reference 44

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Observation 0d020118-edda-434a-ba78-8330493becc1 · outbound

This paper cites The Zero Resource Speech Challenge 2017,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery The Zero Resource Speech Challenge 2017,

Reference 45

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Observation b756b031-eb97-4ce9-9c3c-c97b5f4d6550 · outbound

This paper cites Unsupervised lexicon learning from speech is limited by representations rather than clustering,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Unsupervised lexicon learning from speech is limited by representations rather than clustering,

Reference 46

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This paper cites Montreal forced aligner: Trainable text-speech alignment using kaldi,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Montreal forced aligner: Trainable text-speech alignment using kaldi,

Reference 47

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This paper cites The igraph software package for complex network research,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery The igraph software package for complex network research,

Reference 48

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This paper cites The Faiss library,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery The Faiss library,

Reference 49

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This paper cites K-means++: The advantages of careful seeding,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery K-means++: The advantages of careful seeding,

Reference 50

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Observation d0035f7b-2e91-4f33-988e-341d5dd9a278 · outbound

This paper cites Scikit-learn: Machine learning in Python,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Scikit-learn: Machine learning in Python,

Reference 51

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Observation 6369cb30-938c-4eae-ac6c-f053d584e977 · outbound

This paper cites Syllable discovery and cross-lingual generalization in a visually grounded, self- supervised speech model,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Syllable discovery and cross-lingual generalization in a visually grounded, self- supervised speech model,

Reference 52

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This paper cites SD-HuBERT: Sentence-level self-distillation induces syllabic organization in HuBERT,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery SD-HuBERT: Sentence-level self-distillation induces syllabic organization in HuBERT,

Reference 53

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This paper cites Revisiting Lexicon Evaluation in Unsupervised Word Discovery.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Revisiting Lexicon Evaluation in Unsupervised Word Discovery

Reference 54

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Observation 72eeccef-0bcf-4243-a24f-fa3728d50b12 · outbound

This paper cites The Zero Resource Speech Challenge 2020: Discover- ing discrete subword and word units,.

Recovering the Zipfian Distribution in Unsupervised Term Discovery The Zero Resource Speech Challenge 2020: Discover- ing discrete subword and word units,

Reference 55

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