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1
A Bottleneck Auto-Encoder for F0 Transformations on Speech and Singing Voice
In: ISSN: 2078-2489 ; Information ; https://hal.archives-ouvertes.fr/hal-03599085 ; Information, MDPI, 2022, 13 (3), pp.102. ⟨10.3390/info13030102⟩ (2022)
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Neural Vocoding for Singing and Speaking Voices with the Multi-Band Excited WaveNet
In: ISSN: 2078-2489 ; Information ; https://hal.archives-ouvertes.fr/hal-03599076 ; Information, MDPI, 2022, 13 (3), pp.103. ⟨10.3390/info13030103⟩ (2022)
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Évaluation de la perception des sons de parole chez les populations pédiatriques : réflexion sur les épreuves existantes
In: ISSN: 0298-6477 ; EISSN: 2117-7155 ; Glossa ; https://hal.archives-ouvertes.fr/hal-03646757 ; Glossa, UNADREO - Union NAtionale pour le Développement de la Recherche en Orthophonie, 2022, 132, pp.1-27 ; https://www.glossa.fr/index.php/glossa/article/view/1043 (2022)
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Learning and controlling the source-filter representation of speech with a variational autoencoder
In: https://hal.archives-ouvertes.fr/hal-03650569 ; 2022 (2022)
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5
Domestic Ubimus
In: EISSN: 2409-9708 ; EAI Endorsed Transactions on Creative Technologies ; https://hal-hprints.archives-ouvertes.fr/hprints-03602695 ; EAI Endorsed Transactions on Creative Technologies, EAI - European Alliance for Innovation, 2022, ⟨10.4108/eai.22-2-2022.173493⟩ (2022)
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6
A comparative study of several parameterizations for speaker recognition ...
Faundez-Zanuy, Marcos. - : arXiv, 2022
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7
Speaker verification in mismatch training and testing conditions ...
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8
Speech Segmentation Optimization using Segmented Bilingual Speech Corpus for End-to-end Speech Translation ...
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9
A New Amharic Speech Emotion Dataset and Classification Benchmark ...
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10
The Norwegian Parliamentary Speech Corpus ...
Solberg, Per Erik; Ortiz, Pablo. - : arXiv, 2022
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11
Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
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12
LPC Augment: An LPC-Based ASR Data Augmentation Algorithm for Low and Zero-Resource Children's Dialects ...
Abstract: This paper proposes a novel linear prediction coding-based data aug-mentation method for children's low and zero resource dialect ASR. The data augmentation procedure consists of perturbing the formant peaks of the LPC spectrum during LPC analysis and reconstruction. The method is evaluated on two novel children's speech datasets with one containing California English from the Southern CaliforniaArea and the other containing a mix of Southern American English and African American English from the Atlanta, Georgia area. We test the proposed method in training both an HMM-DNN system and an end-to-end system to show model-robustness and demonstrate that the algorithm improves ASR performance, especially for zero resource dialect children's task, as compared to common data augmentation methods such as VTLP, Speed Perturbation, and SpecAugment. ... : 5 pages, 2 figures ...
Keyword: 14J60 Primary 14F05, 14J26 Secondary; Audio and Speech Processing eess.AS; F.2.2; I.2.7; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD
URL: https://dx.doi.org/10.48550/arxiv.2202.09529
https://arxiv.org/abs/2202.09529
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13
Automatic Dialect Density Estimation for African American English ...
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14
LINGUIST List Resources for Salish, Southern Puget Sound
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15
Variation in Spanish/s: Overview and New Perspectives
In: World Languages and Literatures Faculty Publications and Presentations (2022)
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16
End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system ...
Zhang, Zhengyi; Zhou, Pan. - : arXiv, 2022
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17
Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems ...
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18
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation ...
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19
Automatic Detection of Speech Sound Disorder in Child Speech Using Posterior-based Speaker Representations ...
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20
Towards a Perceptual Model for Estimating the Quality of Visual Speech ...
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