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1
A comparative study of several parameterizations for speaker recognition ...
Faundez-Zanuy, Marcos. - : arXiv, 2022
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2
A Neural Pairwise Ranking Model for Readability Assessment ...
Lee, Justin; Vajjala, Sowmya. - : arXiv, 2022
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3
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators ...
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4
Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
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5
ClassSPLOM -- A Scatterplot Matrix to Visualize Separation of Multiclass Multidimensional Data ...
Aupetit, Michael; Ali, Ahmed. - : arXiv, 2022
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6
A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets ...
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7
Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition ...
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8
Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns ...
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9
Learning and controlling the source-filter representation of speech with a variational autoencoder ...
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10
Correcting Misproducted Speech using Spectrogram Inpainting ...
Abstract: Learning a new language involves constantly comparing speech productions with reference productions from the environment. Early in speech acquisition, children make articulatory adjustments to match their caregivers' speech. Grownup learners of a language tweak their speech to match the tutor reference. This paper proposes a method to synthetically generate correct pronunciation feedback given incorrect production. Furthermore, our aim is to generate the corrected production while maintaining the speaker's original voice. The system prompts the user to pronounce a phrase. The speech is recorded, and the samples associated with the inaccurate phoneme are masked with zeros. This waveform serves as an input to a speech generator, implemented as a deep learning inpainting system with a U-net architecture, and trained to output a reconstructed speech. The training set is composed of unimpaired proper speech examples, and the generator is trained to reconstruct the original proper speech. We evaluated the ... : under submission to Interspeech 2022 ...
Keyword: Audio and Speech Processing eess.AS; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Machine Learning cs.LG
URL: https://dx.doi.org/10.48550/arxiv.2204.03379
https://arxiv.org/abs/2204.03379
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11
WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language ...
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12
A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ...
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13
Including Facial Expressions in Contextual Embeddings for Sign Language Generation ...
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14
Statistical and Spatio-temporal Hand Gesture Features for Sign Language Recognition using the Leap Motion Sensor ...
Bird, Jordan J.. - : arXiv, 2022
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15
Vision-Based American Sign Language Classification Approach via Deep Learning ...
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16
Exploring Sub-skeleton Trajectories for Interpretable Recognition of Sign Language ...
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17
Sign Language Recognition System using TensorFlow Object Detection API ...
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18
pNLP-Mixer: an Efficient all-MLP Architecture for Language ...
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19
Multilingual Abusiveness Identification on Code-Mixed Social Media Text ...
Ranjan, Ekagra; Poddar, Naman. - : arXiv, 2022
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20
hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification ...
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