CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling | Paper Citation Record

Observation a1e83528-89fe-4745-8984-5e6ce944bd51 · outbound

This paper cites Benchmarking Children's ASR with Supervised and Self-supervised Speech Foundation Models.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Benchmarking Children's ASR with Supervised and Self-supervised Speech Foundation Models

Reference 1

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Observation d9781e07-0864-4166-86d4-8601eed7fc10 · outbound

This paper cites Automatic speech recognition (asr) systems for children: A systematic literature review,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Automatic speech recognition (asr) systems for children: A systematic literature review,

Reference 2

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Observation 5076ea0f-7273-4e39-aac2-8cd05796920b · outbound

This paper cites Qwen3-ASR Technical Report.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Qwen3-ASR Technical Report

Reference 3

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Observation 21c98df7-0684-4e0a-8545-284b905b3fb4 · outbound

This paper cites Canary-1b-v2 & parakeet-tdt- 0.6b-v3: Efficient and high-performance models for multilingual asr and ast,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Canary-1b-v2 & parakeet-tdt- 0.6b-v3: Efficient and high-performance models for multilingual asr and ast,

Reference 4

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Observation 43383fbd-3be8-4038-890a-e661e56457e8 · outbound

This paper cites Robust speech recognition via large-scale weak supervi- sion,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Robust speech recognition via large-scale weak supervi- sion,

Reference 5

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Observation fb4483b9-0404-4f43-9ee8-1a86a9349e0d · outbound

This paper cites Exploring the effect of differences in the acoustic correlates of adults’ and children’s speech in the context of automatic speech recognition,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Exploring the effect of differences in the acoustic correlates of adults’ and children’s speech in the context of automatic speech recognition,

Reference 6

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Observation e8f9cecb-fad6-496a-9f97-107ca88d23a2 · outbound

This paper cites A review of asr technologies for children’s speech,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling A review of asr technologies for children’s speech,

Reference 7

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Observation 245cebf8-4e02-494f-aa1c-8762313b6bfd · outbound

This paper cites Transfer learning from adult to chil- dren for speech recognition: Evaluation, analysis and recommendations,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Transfer learning from adult to chil- dren for speech recognition: Evaluation, analysis and recommendations,

Reference 8

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Observation 1dd294de-32de-4ae9-8a6b-ad91b48786b3 · outbound

This paper cites Speech production variability in fricatives of children and adults: Results of functional data analysis,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Speech production variability in fricatives of children and adults: Results of functional data analysis,

Reference 9

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Observation b6626d5b-7de1-4307-a50e-80fdc0395a20 · outbound

This paper cites Stop consonant voicing and intraoral pressure contours in women and children,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Stop consonant voicing and intraoral pressure contours in women and children,

Reference 10

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Observation bc952c76-0c54-4a3d-83b8-615e0989b7ae · outbound

This paper cites Analysis of children’s speech: Duration, pitch and formants,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Analysis of children’s speech: Duration, pitch and formants,

Reference 11

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Observation 6697e24d-39ee-4a51-90ac-3de8bc392b4a · outbound

This paper cites Acoustics of children’s speech: Developmental changes of tem- poral and spectral parameters,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Acoustics of children’s speech: Developmental changes of tem- poral and spectral parameters,

Reference 12

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Observation d3d5cd9a-f03f-4cef-bbd5-4bc01002ae63 · outbound

This paper cites V owel acoustic space development in children: A synthesis of acoustic and anatomic data,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling V owel acoustic space development in children: A synthesis of acoustic and anatomic data,

Reference 13

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Observation c837983b-1073-44e2-be36-b5ad47ff419c · outbound

This paper cites Ticl: Text- embedding knn for speech in-context learning unlocks speech recogni- tion abilities of large multimodal models,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Ticl: Text- embedding knn for speech in-context learning unlocks speech recogni- tion abilities of large multimodal models,

Reference 14

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Observation 757425fc-85d3-4761-b5b5-3bfacae61d5c · outbound

This paper cites Ticl+: A case study on speech in-context learning for children’s speech recognition,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Ticl+: A case study on speech in-context learning for children’s speech recognition,

Reference 15

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Observation 6ca85725-1e1f-4b5c-9fc7-3a6a155b0768 · outbound

This paper cites MetaSICL: Adapting Audiroty LLM via Meta Speech In-Context Learning.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling MetaSICL: Adapting Audiroty LLM via Meta Speech In-Context Learning

Reference 16

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Observation 64788853-d44f-4683-9f8e-9a7dc9575e1c · outbound

This paper cites FSA-GRPO: Teaching Auditory LLMs to Use Few-shot Demonstrations.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling FSA-GRPO: Teaching Auditory LLMs to Use Few-shot Demonstrations

Reference 17

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Observation cf1645f8-3434-461a-8948-80afd9fc8bd5 · outbound

This paper cites Benchmarking Training Paradigms, Dataset Composition, and Model Scaling for Child ASR in ESPnet.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Benchmarking Training Paradigms, Dataset Composition, and Model Scaling for Child ASR in ESPnet

Reference 18

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Observation 9d7d82cb-5f36-4840-b1d1-07cd311cce38 · outbound

This paper cites Age-Aware Adapter Tuning for Children's Speech Recognition.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Age-Aware Adapter Tuning for Children's Speech Recognition

Reference 19

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Observation 1f356347-e8f2-4821-a670-f2a2dec7f103 · outbound

This paper cites Adapta- tion of whisper models to child speech recognition,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Adapta- tion of whisper models to child speech recognition,

Reference 20

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Observation a5fa2184-e235-4884-bdf9-981fbaa5269b · outbound

This paper cites Kid- whisper: Towards bridging the performance gap in automatic speech recognition for children vs. adults,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Kid- whisper: Towards bridging the performance gap in automatic speech recognition for children vs. adults,

Reference 21

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Observation d364dd24-520a-4802-aed7-ba9d68c942ff · outbound

This paper cites Sparsely shared lora on whisper for child speech recognition,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Sparsely shared lora on whisper for child speech recognition,

Reference 22

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Observation e6eea29a-0f02-4711-b49e-46504bfec4e2 · outbound

This paper cites Mind the shift: Using delta ssl embeddings to enhance child asr,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Mind the shift: Using delta ssl embeddings to enhance child asr,

Reference 23

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Observation d0cf11e4-c80b-4f40-9872-d593be6c74f5 · outbound

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

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling DRAFT: A Novel Framework to Reduce Domain Shifting in Self-supervised Learning and Its Application to Children's ASR

Reference 24

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Observation e27b6f5a-3719-422d-8a9a-c9b369dcee6d · outbound

This paper cites Towards better domain adaptation for self-supervised models: A case study of child asr,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Towards better domain adaptation for self-supervised models: A case study of child asr,

Reference 25

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Observation c4ec6e42-ef45-49c5-adf3-78af585a0e37 · outbound

This paper cites A wav2vec2-based experimental study on self-supervised learning methods to improve child speech recognition,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling A wav2vec2-based experimental study on self-supervised learning methods to improve child speech recognition,

Reference 26

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Observation cc6dff50-6964-4903-89e5-d14399fb5ae7 · outbound

This paper cites MacWhinney,The CHILDES Project: Tools for Analyzing Talk, 3rd ed.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling MacWhinney,The CHILDES Project: Tools for Analyzing Talk, 3rd ed

Reference 27

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Observation 0372b923-6ddf-4fb5-b3f0-4a49e9ceb7e2 · outbound

This paper cites Montreal Forced Aligner: Trainable text-speech alignment using Kaldi,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Montreal Forced Aligner: Trainable text-speech alignment using Kaldi,

Reference 28

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Observation 10db3fde-f1e0-4ce7-a1ea-aa0756afa508 · outbound

This paper cites Scaling Speech Technology to 1,000+ Languages.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Scaling Speech Technology to 1,000+ Languages

Reference 29

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Observation fe52b86c-87a6-441f-ac0a-5789e6da6947 · outbound

This paper cites A recursive algorithm for the forced alignment of very long audio segments,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling A recursive algorithm for the forced alignment of very long audio segments,

Reference 30

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Observation d2054911-28b0-4924-85da-c28ed5d8cb28 · outbound

This paper cites CTC- Segmentation of large corpora for german end-to-end speech recogni- tion,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling CTC- Segmentation of large corpora for german end-to-end speech recogni- tion,

Reference 31

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Observation c0ad31d2-13b6-4412-81a7-215ef6771313 · outbound

This paper cites ALISA: An automatic lightly supervised speech segmentation and alignment tool,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling ALISA: An automatic lightly supervised speech segmentation and alignment tool,

Reference 32

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Observation 2868958a-e78a-4300-a523-ed68dca3a9d1 · outbound

This paper cites A linear memory CTC-based algorithm for text-to-voice alignment of very long audio recordings,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling A linear memory CTC-based algorithm for text-to-voice alignment of very long audio recordings,

Reference 33

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Observation 361e5e16-74c5-47ae-8b3e-ea557c63ff95 · outbound

This paper cites WhisperX: Time-Accurate Speech Transcription of Long-Form Audio.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling WhisperX: Time-Accurate Speech Transcription of Long-Form Audio

Reference 34

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Observation 137f1b7d-6156-464a-9c22-2fe1155205f8 · outbound

This paper cites FASA: a Flexible and Automatic Speech Aligner for Extracting High-quality Aligned Children Speech Data.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling FASA: a Flexible and Automatic Speech Aligner for Extracting High-quality Aligned Children Speech Data

Reference 35

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Observation 4ab0584c-1527-4ab4-9135-b0aa1dd0ff87 · outbound

This paper cites Kids: a database of children’s speech,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Kids: a database of children’s speech,

Reference 36

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This paper cites The ogi kids’ speech corpus and recognizers,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling The ogi kids’ speech corpus and recognizers,

Reference 37

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Observation e77428ba-619e-4700-8a0d-b00b4983d70a · outbound

This paper cites Multi-task learning for speech attribute detection of children’s speech.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Multi-task learning for speech attribute detection of children’s speech

Reference 38

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This paper cites Tidigits,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Tidigits,

Reference 39

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Observation c918ce5c-cb6f-4dd7-96e9-1fd550dfa13b · outbound

This paper cites Diagnostic accuracy of sentence recall and past tense measures for identifying children’s language impairments,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Diagnostic accuracy of sentence recall and past tense measures for identifying children’s language impairments,

Reference 40

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Observation 56738040-fe85-4093-8b05-ca2823401a80 · outbound

This paper cites My science tutor (myst)–a large corpus of children’s conversational speech,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling My science tutor (myst)–a large corpus of children’s conversational speech,

Reference 41

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Observation b1fee90d-852a-4d8b-a88a-5590c11d4cd0 · outbound

This paper cites Children’s speech recognition with application to interactive books and tutors,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Children’s speech recognition with application to interactive books and tutors,

Reference 42

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Observation 25740fac-9170-42c6-b108-189a31d876f2 · outbound

This paper cites Word-minimality, epenthesis and coda licensing in the early acquisition of english,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Word-minimality, epenthesis and coda licensing in the early acquisition of english,

Reference 43

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Observation f8b4f434-7997-4a46-a68b-d5bb3578039b · outbound

This paper cites The pf-star british english childrens speech corpus,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling The pf-star british english childrens speech corpus,

Reference 44

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Observation a7c23b33-c117-4e8d-9e9b-a0edb811bcc9 · outbound

This paper cites The pf star children’s speech corpus,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling The pf star children’s speech corpus,

Reference 45

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Observation f43aae98-6b5d-4792-994d-cab74be4ac31 · outbound

This paper cites Tball data collection: the making of a young children’s speech corpus,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Tball data collection: the making of a young children’s speech corpus,

Reference 46

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Observation 23982a50-fc91-4a06-a6df-2ee947950e9f · outbound

This paper cites The kaldi speech recognition toolkit,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling The kaldi speech recognition toolkit,

Reference 47

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Observation ae4f7b59-57e0-437d-a786-9881aaf174bb · outbound

This paper cites Automation of Language Sample Analysis,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Automation of Language Sample Analysis,

Reference 48

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Observation 24ef8e9f-a56f-4161-b95b-b5ae0b6e5b7a · outbound

This paper cites Sailalign: Robust long speech-text alignment,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Sailalign: Robust long speech-text alignment,

Reference 49

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Observation 70e2ea42-bee0-4fc8-a0e2-9d903dfdb965 · outbound

This paper cites Automatic long audio alignment and confidence scoring for conversational arabic speech,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Automatic long audio alignment and confidence scoring for conversational arabic speech,

Reference 50

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Observation 419608c9-df5b-4d43-a2be-1219c68c41fb · outbound

This paper cites A post-processing system to yield reduced word error rates: Recognizer output voting error reduction (rover),.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling A post-processing system to yield reduced word error rates: Recognizer output voting error reduction (rover),

Reference 51

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Observation 7dc3eb10-507c-4b9c-8309-8f6895fa5132 · outbound

This paper cites Ensemble methods in machine learning,.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Ensemble methods in machine learning,

Reference 52

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Observation 11badae8-27a5-4036-ab28-cf3e05c5420b · outbound

This paper cites Efficient Sequence Transduction by Jointly Predicting Tokens and Durations.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Efficient Sequence Transduction by Jointly Predicting Tokens and Durations

Reference 53

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Observation df653451-76cf-4596-bad0-1ab5861d3ae5 · outbound

This paper cites Granite-speech: open-source speech-aware LLMs with strong English ASR capabilities.

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling Granite-speech: open-source speech-aware LLMs with strong English ASR capabilities

Reference 54

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