How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures | Paper Citation Record

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This paper cites Automatic speaker, age-group and gender identifi- cation from children’s speech,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Automatic speaker, age-group and gender identifi- cation from children’s speech,

Reference 1

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Observation e360ff93-f709-4277-b387-a5f96d61a2e9 · outbound

This paper cites Automated prediction of children’s age from voice acoustics,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Automated prediction of children’s age from voice acoustics,

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This paper cites Children’s age and gender recognition from raw speech waveform using dnn,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Children’s age and gender recognition from raw speech waveform using dnn,

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This paper cites Automated speech analysis tools for children’s speech production: A systematic literature review,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Automated speech analysis tools for children’s speech production: A systematic literature review,

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This paper cites Modeling the perception of children’s age from speech acoustics,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Modeling the perception of children’s age from speech acoustics,

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Observation bfefabab-58d4-4294-8378-bf53397deeff · outbound

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

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Speech production variability in fricatives of children and adults: Results of functional data analysis,

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Observation 475c5d3a-677c-403a-abf8-3fe64d862563 · outbound

This paper cites Analysis of disfluency in children’s speech,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Analysis of disfluency in children’s speech,

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This paper cites Vowel acoustic space development in children: a synthesis of acoustic and anatomic data.,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Vowel acoustic space development in children: a synthesis of acoustic and anatomic data.,

Reference 8

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Observation 1a4f0e8f-6c9f-4b23-98fd-bc3d760199db · outbound

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

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Acoustics of children’s speech: Developmental changes of temporal and spectral parameters,

Reference 9

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This paper cites On the difficulties of automatic speech recognition for kindergarten- aged children,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures On the difficulties of automatic speech recognition for kindergarten- aged children,

Reference 10

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Observation 405dc1ed-f519-44a2-8ef8-ea38eca3f6ef · outbound

This paper cites A survey about databases of children’s speech.,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures A survey about databases of children’s speech.,

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Observation 5ad9c506-56b7-493e-98fa-ed572f4c4d12 · outbound

This paper cites Automatic speaker age and gender recognition using acoustic and prosodic level information fusion,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Automatic speaker age and gender recognition using acoustic and prosodic level information fusion,

Reference 12

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This paper cites Roleofacousticsandprosodicfeatures for children’s age classification,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Roleofacousticsandprosodicfeatures for children’s age classification,

Reference 13

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Observation 7d3f06dd-49f5-4e88-bdeb-849368564bea · outbound

This paper cites Age and gender recognition based on multiple systems-early vs. late fusion.,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Age and gender recognition based on multiple systems-early vs. late fusion.,

Reference 14

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Observation 75e1a3b1-0088-40b6-8cd4-751d31e0fb7b · outbound

This paper cites Combining short-term cepstral and long-term pitch features for automatic recognition of speaker age.,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Combining short-term cepstral and long-term pitch features for automatic recognition of speaker age.,

Reference 15

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Observation c4890bb5-1c87-4d81-8e75-9da8e66ff384 · outbound

This paper cites Age and gender detection in the i-dash project,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Age and gender detection in the i-dash project,

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Observation f1f74e5e-9bfe-4546-99d7-1b23d2781073 · outbound

This paper cites Identification of age-group from children’s speech by computers and humans.,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Identification of age-group from children’s speech by computers and humans.,

Reference 17

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Observation 80958c0c-0c71-4bb1-afc3-3b0f50998e67 · outbound

This paper cites Emotion, age, and gender classification in children’s speech by humans and machines,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Emotion, age, and gender classification in children’s speech by humans and machines,

Reference 18

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Observation eaaaf56c-5034-4c3b-8b2e-7eb9417d0050 · outbound

This paper cites Children age and gender classification based on speech using convnets,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Children age and gender classification based on speech using convnets,

Reference 19

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Observation 3b9a800f-affa-4ed2-a8de-e732144cdee4 · outbound

This paper cites Analyzing features for automatic age estimation on cross-sectional data.,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Analyzing features for automatic age estimation on cross-sectional data.,

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Observation 468f3279-5a76-4889-8eb4-17f79dff0e4f · outbound

This paper cites Calibration of probabilistic age recognition,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Calibration of probabilistic age recognition,

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Observation 0b16b553-3208-44f5-ae4d-b8cfccb97032 · outbound

This paper cites Speaker age estimation using age-dependent insensitive loss,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Speaker age estimation using age-dependent insensitive loss,

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This paper cites Speaker recognition for children’s speech,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Speaker recognition for children’s speech,

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Observation a0aef69c-55ce-4a2d-9f6f-d8ef42f2bfab · outbound

This paper cites Gender and age estimation methods based on speech using deep neural networks,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Gender and age estimation methods based on speech using deep neural networks,

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Observation 284da73a-2a57-478e-a32a-64867f00e34d · outbound

This paper cites Age group classification and gender recognition from speech with temporal convolutional neural networks,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Age group classification and gender recognition from speech with temporal convolutional neural networks,

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This paper cites Automatic speaker and age identification of children from raw speech using sincnet over erb scale,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Automatic speaker and age identification of children from raw speech using sincnet over erb scale,

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This paper cites wav2vec2.0: Aframeworkfor self-supervised learning of speech representations,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures wav2vec2.0: Aframeworkfor self-supervised learning of speech representations,

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

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

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Observation 2bf5c73e-7538-412d-8152-d62390c1d778 · outbound

This paper cites Data2vec: A general framework for self-supervised learning in speech, vision and language,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Data2vec: A general framework for self-supervised learning in speech, vision and language,

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

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Wavlm: Large-scale self-supervised pre-training for full stack speech processing,

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This paper cites Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings

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Observation 9794c1a9-7d9e-4864-a6ba-efa0441520a4 · outbound

This paper cites Effect of speech modification on wav2vec2 models for children speech recognition,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Effect of speech modification on wav2vec2 models for children speech recognition,

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This paper cites Wav2vec2- based paralinguistic systems to recognise vocalised emotions and stuttering,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Wav2vec2- based paralinguistic systems to recognise vocalised emotions and stuttering,

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This paper cites Two-stage finetuning of wav2vec 2.0 for speech emotion recognition with asr and gender pretraining,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Two-stage finetuning of wav2vec 2.0 for speech emotion recognition with asr and gender pretraining,

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This paper cites A noise-robust self-supervised pre-training model based speech representation learning for automatic speech recogni- tion,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures A noise-robust self-supervised pre-training model based speech representation learning for automatic speech recogni- tion,

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This paper cites Exploring wav2vec 2.0 on speaker verification and language identification,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Exploring wav2vec 2.0 on speaker verification and language identification,

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How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Speech emotion recognition using self-supervised features,

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This paper cites Harnessing the power of wav2vec2 and cnns for robust speaker identification on the voxceleb and librispeech datasets,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Harnessing the power of wav2vec2 and cnns for robust speaker identification on the voxceleb and librispeech datasets,

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How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures On the robustness of wav2vec 2.0 based speaker recognition systems,

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How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Uti- lizing wav2vec in database-independent voice disorder detection,

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This paper cites Pre-trained models for detection and severity level classification of dysarthria from speech,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Pre-trained models for detection and severity level classification of dysarthria from speech,

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Observation 9c789694-dcf1-49e3-8db3-b943dabada2b · outbound

This paper cites Exploring the impact of fine-tuning the wav2vec2 model in database-independent detection of dysarthric speech,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Exploring the impact of fine-tuning the wav2vec2 model in database-independent detection of dysarthric speech,

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Observation ea03b40a-04cb-420e-a730-4b519e49c6e3 · outbound

This paper cites Svldl: Improved speaker age estimation using selective variance label distribution learning,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Svldl: Improved speaker age estimation using selective variance label distribution learning,

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Observation e2b9d72b-f628-4b0c-b728-c15981c13c08 · outbound

This paper cites What are differ- ences? comparing dnn and human by their performance and characteristics in speaker age estimation,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures What are differ- ences? comparing dnn and human by their performance and characteristics in speaker age estimation,

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Observation a70100e7-e047-4d6e-a3f6-8890a8618fa0 · outbound

This paper cites Layer-wise analysis of self-supervised representations for age and gender clas- sification in children’s speech,.

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures Layer-wise analysis of self-supervised representations for age and gender clas- sification in children’s speech,

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

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures The pf-star british english childrens speech corpus,

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How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures The cmu kids corpus,

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