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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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2
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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3
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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4
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 ...
Abstract: Speech segmentation, which splits long speech into short segments, is essential for speech translation (ST). Popular VAD tools like WebRTC VAD have generally relied on pause-based segmentation. Unfortunately, pauses in speech do not necessarily match sentence boundaries, and sentences can be connected by a very short pause that is difficult to detect by VAD. In this study, we propose a speech segmentation method using a binary classification model trained using a segmented bilingual speech corpus. We also propose a hybrid method that combines VAD and the above speech segmentation method. Experimental results revealed that the proposed method is more suitable for cascade and end-to-end ST systems than conventional segmentation methods. The hybrid approach further improved the translation performance. ... : Submitted to INTERSPEECH 2022 ...
Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD
URL: https://arxiv.org/abs/2203.15479
https://dx.doi.org/10.48550/arxiv.2203.15479
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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 ...
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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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