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How are visemes and graphemes integrated with speech sounds during spoken word recognition? ERP evidence for supra-additive responses during audiovisual compared to auditory speech processing
In: ISSN: 0093-934X ; EISSN: 1090-2155 ; Brain and Language ; https://hal.archives-ouvertes.fr/hal-03472191 ; Brain and Language, Elsevier, 2022, 225, ⟨10.1016/j.bandl.2021.105058⟩ (2022)
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Multistream neural architectures for cued-speech recognition using a pre-trained visual feature extractor and constrained CTC decoding
In: ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-03578503 ; ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapour, Singapore (2022)
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3
Investigating the locus of transposed-phoneme effects using cross-modal priming
In: ISSN: 0001-6918 ; EISSN: 1873-6297 ; Acta Psychologica ; https://hal.archives-ouvertes.fr/hal-03619856 ; Acta Psychologica, Elsevier, 2022, 226, pp.103578. ⟨10.1016/j.actpsy.2022.103578⟩ (2022)
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4
Potential of automatic speech processing technologies for early detection of oral language disorders: a meta-analytic review ...
Bonnet, Camille. - : Open Science Framework, 2022
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5
A comparative study of several parameterizations for speaker recognition ...
Faundez-Zanuy, Marcos. - : arXiv, 2022
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6
Speaker verification in mismatch training and testing conditions ...
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7
Speech Segmentation Optimization using Segmented Bilingual Speech Corpus for End-to-end Speech Translation ...
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8
Estimating Vocal Tract Resonances of Synthesized High-Pitched Vowels Using CNN ...
Mikusova, Ivana. - : TU Wien, 2022
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9
A New Amharic Speech Emotion Dataset and Classification Benchmark ...
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10
Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks ...
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11
The Norwegian Parliamentary Speech Corpus ...
Solberg, Per Erik; Ortiz, Pablo. - : arXiv, 2022
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12
Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
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13
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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14
Automatic Dialect Density Estimation for African American English ...
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15
Data From: A Protracted Developmental Trajectory for English-Learning Children’s Detection of Consonant Mispronunciations in Newly Learned Words
In: Speech and Hearing Sciences Faculty Datasets (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
Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition ...
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