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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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2
DeepFry: Identifying Vocal Fry Using Deep Neural Networks ...
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3
Using automated acoustic analysis to explore the link between planning and articulation in second language speech production ...
Goldrick, Matthew; Shrem, Yosi; Kilbourn-Ceron, Oriana. - : Taylor & Francis, 2020
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4
Using automated acoustic analysis to explore the link between planning and articulation in second language speech production ...
Goldrick, Matthew; Shrem, Yosi; Kilbourn-Ceron, Oriana. - : Taylor & Francis, 2020
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5
Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation ...
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6
Phoneme Boundary Detection using Learnable Segmental Features ...
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7
Phonetics of Baus, Costa, and Carreiras (2013) ...
Goldrick, Matthew; Kilbourn-Ceron, Oriana; Baus, Cristina. - : Open Science Framework, 2020
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8
The influence of lexical selection disruptions on articulation
In: J Exp Psychol Learn Mem Cogn (2018)
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9
Automatic Measurement of Pre-aspiration ...
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10
Learning Similarity Functions for Pronunciation Variations ...
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11
SEQUENCE SEGMENTATION USING JOINT RNN AND STRUCTURED PREDICTION MODELS
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Sequence Segmentation Using Joint RNN and Structured Prediction Models ...
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13
Automatic measurement of vowel duration via structured prediction ...
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14
Automatic measurement of vowel duration via structured prediction
Adi, Yossi; Keshet, Joseph; Cibelli, Emily. - : Acoustical Society of America, 2016
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15
VOWEL DURATION MEASUREMENT USING DEEP NEURAL NETWORKS
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16
Discriminative Keyword Spotting
In: http://infoscience.epfl.ch/record/146043 (2010)
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17
A Proposal for a Kernel-based Algorithm for Large Vocabulary Continuous Speech Recognition
In: http://infoscience.epfl.ch/record/146084 (2010)
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18
Discriminative keyword spotting
In: Speech communication. - Amsterdam [u.a.] : Elsevier 51 (2009) 4, 317-329
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OLC Linguistik
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19
Discriminative keyword spotting
In: Speech communication. - Amsterdam [u.a.] : Elsevier 51 (2009) 4, 317-329
OLC Linguistik
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20
Automatic speech and speaker recognition : large margin and kernel methods
Grangier, David; Bach, Francis R.; Crammer, Koby. - Chichester : Wiley, 2009
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UB Frankfurt Linguistik
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