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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...50 Hits 1 – 20 of 989 1 A comparative study of several parameterizations for speaker recognition ... Faundez-Zanuy, Marcos. - : arXiv, 2022 BASE Show details 2 Speaker verification in mismatch training and testing conditions ... Faundez-Zanuy, Marcos; Slupinski, Adam. - : arXiv, 2022 BASE Show details 3 Speech Segmentation Optimization using Segmented Bilingual Speech Corpus for End-to-end Speech Translation ... Fukuda, Ryo; Sudoh, Katsuhito; Nakamura, Satoshi. - : arXiv, 2022 BASE Show details 4 A New Amharic Speech Emotion Dataset and Classification Benchmark ... Retta, Ephrem A.; Almekhlafi, Eiad; Sutcliffe, Richard. - : arXiv, 2022 BASE Show details 5 Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks ... Moisio, Anssi; Porjazovski, Dejan; Rouhe, Aku. - : arXiv, 2022 BASE Show details 6 The Norwegian Parliamentary Speech Corpus ... Solberg, Per Erik; Ortiz, Pablo. - : arXiv, 2022 BASE Show details 7 Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ... Lee, Hung-Shin; Tsao, Yu; Jeng, Shyh-Kang. - : arXiv, 2022 BASE Show details 8 LPC Augment: An LPC-Based ASR Data Augmentation Algorithm for Low and Zero-Resource Children's Dialects ... Johnson, Alexander; Fan, Ruchao; Morris, Robin. - : arXiv, 2022 BASE Show details 9 Automatic Dialect Density Estimation for African American English ... Johnson, Alexander; Everson, Kevin; Ravi, Vijay. - : arXiv, 2022 BASE Show details 10 End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system ... Zhang, Zhengyi; Zhou, Pan. - : arXiv, 2022 BASE Show details 11 Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems ... Wang, Xiaoqiang; Liu, Yanqing; Li, Jinyu. - : arXiv, 2022 BASE Show details 12 SHAS: Approaching optimal Segmentation for End-to-End Speech Translation ... Tsiamas, Ioannis; Gállego, Gerard I.; Fonollosa, José A. R.. - : arXiv, 2022 BASE Show details 13 Automatic Detection of Speech Sound Disorder in Child Speech Using Posterior-based Speaker Representations ... Ng, Si-Ioi; Ng, Cymie Wing-Yee; Wang, Jiarui. - : arXiv, 2022 BASE Show details 14 Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition ... Lian, Jiachen; Black, Alan W; Goldstein, Louis. - : arXiv, 2022 BASE Show details 15 Telepractice treatment of rhotics (Peterson et al., 2022) ... Peterson, Laura; Savarese, Christian; Campbell, Twylah. - : ASHA journals, 2022 BASE Show details 16 Telepractice treatment of rhotics (Peterson et al., 2022) ... Peterson, Laura; Savarese, Christian; Campbell, Twylah. - : ASHA journals, 2022 BASE Show details 17 Towards a Perceptual Model for Estimating the Quality of Visual Speech ... Aldeneh, Zakaria; Fedzechkina, Masha; Seto, Skyler. - : arXiv, 2022 BASE Show details 18 Learning and controlling the source-filter representation of speech with a variational autoencoder ... Sadok, Samir; Leglaive, Simon; Girin, Laurent. - : arXiv, 2022 BASE Show details 19 Correcting Misproducted Speech using Spectrogram Inpainting ... Ben-Simon, Talia; Kreuk, Felix; Awwad, Faten; Cohen, Jacob T.; Keshet, Joseph. - : arXiv, 2022 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 BASE Hide details 20 Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals ... Lee, Keon-Woo; Lee, Dae-Hyeok; Kim, Sung-Jin. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5...50

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