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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)
Abstract: International audience ; This paper proposes a simple and effective approach for automatic recognition of Cued Speech (CS), a visual communication tool that helps people with hearing impairment to understand spoken language with the help of hand gestures that can uniquely identify the uttered phonemes in complement to lipreading. The proposed approach is based on a pre-trained hand and lips tracker used for visual feature extraction and a phonetic decoder based on a multistream recurrent neural network trained with connectionist temporal classification loss and combined with a pronunciation lexicon. The proposed system is evaluated on an updated version of the French CS dataset CSF18 for which the phonetic transcription has been manually checked and corrected. With a decoding accuracy at the phonetic level of 70.88%, the proposed system outperforms our previous CNN-HMM decoder and competes with more complex baselines.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; cued speech; hearing impairment; multi-modality; neural network; Visual speech
URL: https://hal.archives-ouvertes.fr/hal-03578503v2/file/Practical%20ACSR.pdf
https://hal.archives-ouvertes.fr/hal-03578503v2/document
https://hal.archives-ouvertes.fr/hal-03578503
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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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A comparative study of several parameterizations for speaker recognition ...
Faundez-Zanuy, Marcos. - : arXiv, 2022
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Speaker verification in mismatch training and testing conditions ...
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Estimating Vocal Tract Resonances of Synthesized High-Pitched Vowels Using CNN ...
Mikusova, Ivana. - : TU Wien, 2022
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8
A New Amharic Speech Emotion Dataset and Classification Benchmark ...
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9
The Norwegian Parliamentary Speech Corpus ...
Solberg, Per Erik; Ortiz, Pablo. - : arXiv, 2022
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10
LPC Augment: An LPC-Based ASR Data Augmentation Algorithm for Low and Zero-Resource Children's Dialects ...
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11
Automatic Dialect Density Estimation for African American English ...
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12
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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13
Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition ...
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Learning and controlling the source-filter representation of speech with a variational autoencoder ...
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Correcting Misproducted Speech using Spectrogram Inpainting ...
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Repeat after me: Self-supervised learning of acoustic-to-articulatory mapping by vocal imitation ...
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Can Social Robots Effectively Elicit Curiosity in STEM Topics from K-1 Students During Oral Assessments? ...
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Expression-preserving face frontalization improves visually assisted speech processing ...
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Synthesizing Dysarthric Speech Using Multi-talker TTS for Dysarthric Speech Recognition ...
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20
A Hierarchical Model for Spoken Language Recognition ...
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