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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; Getman, Yaroslav; Virkkunen, Anja; Grósz, Tamás; Lindén, Krister; Kurimo, Mikko. - : arXiv, 2022 Abstract: The Donate Speech campaign has so far succeeded in gathering approximately 3600 hours of ordinary, colloquial Finnish speech into the Lahjoita puhetta (Donate Speech) corpus. The corpus includes over twenty thousand speakers from all the regions of Finland and from all age brackets. The primary goals of the collection were to create a representative, large-scale resource to study spontaneous spoken Finnish and to accelerate the development of language technology and speech-based services. In this paper, we present the collection process and the collected corpus, and showcase its versatility through multiple use cases. The evaluated use cases include: automatic speech recognition of spontaneous speech, detection of age, gender, dialect and topic and metadata analysis. We provide benchmarks for the use cases, as well down loadable, trained baseline systems with open-source code for reproducibility. One further use case is to verify the metadata and transcripts given in this corpus itself, and to suggest ... : Submitted to Language Resources and Evaluation ... Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering URL: https://dx.doi.org/10.48550/arxiv.2203.12906 https://arxiv.org/abs/2203.12906 BASE Hide 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. - : arXiv, 2022 BASE Show 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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