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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...23 Hits 1 – 20 of 442 1 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 2 A New Amharic Speech Emotion Dataset and Classification Benchmark ... Retta, Ephrem A.; Almekhlafi, Eiad; Sutcliffe, Richard. - : arXiv, 2022 BASE Show details 3 Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks ... Moisio, Anssi; Porjazovski, Dejan; Rouhe, Aku. - : arXiv, 2022 BASE Show details 4 The Norwegian Parliamentary Speech Corpus ... Solberg, Per Erik; Ortiz, Pablo. - : arXiv, 2022 BASE Show details 5 Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ... Lee, Hung-Shin; Tsao, Yu; Jeng, Shyh-Kang. - : arXiv, 2022 BASE Show details 6 Automatic Dialect Density Estimation for African American English ... Johnson, Alexander; Everson, Kevin; Ravi, Vijay; Gladney, Anissa; Ostendorf, Mari; Alwan, Abeer. - : arXiv, 2022 Abstract: In this paper, we explore automatic prediction of dialect density of the African American English (AAE) dialect, where dialect density is defined as the percentage of words in an utterance that contain characteristics of the non-standard dialect. We investigate several acoustic and language modeling features, including the commonly used X-vector representation and ComParE feature set, in addition to information extracted from ASR transcripts of the audio files and prosodic information. To address issues of limited labeled data, we use a weakly supervised model to project prosodic and X-vector features into low-dimensional task-relevant representations. An XGBoost model is then used to predict the speaker's dialect density from these features and show which are most significant during inference. We evaluate the utility of these features both alone and in combination for the given task. This work, which does not rely on hand-labeled transcripts, is performed on audio segments from the CORAAL database. We show ... : 5 pages, 2 figures ... Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; F.2.2, I.2.7; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD URL: https://arxiv.org/abs/2204.00967 https://dx.doi.org/10.48550/arxiv.2204.00967 BASE Hide details 7 End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system ... Zhang, Zhengyi; Zhou, Pan. - : arXiv, 2022 BASE Show details 8 Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems ... Wang, Xiaoqiang; Liu, Yanqing; Li, Jinyu. - : arXiv, 2022 BASE Show details 9 SHAS: Approaching optimal Segmentation for End-to-End Speech Translation ... Tsiamas, Ioannis; Gállego, Gerard I.; Fonollosa, José A. R.. - : arXiv, 2022 BASE Show details 10 Repeat after me: Self-supervised learning of acoustic-to-articulatory mapping by vocal imitation ... Georges, Marc-Antoine; Diard, Julien; Girin, Laurent. - : arXiv, 2022 BASE Show details 11 Synthesizing Dysarthric Speech Using Multi-talker TTS for Dysarthric Speech Recognition ... Soleymanpour, Mohammad; Johnson, Michael T.; Soleymanpour, Rahim. - : arXiv, 2022 BASE Show details 12 A Hierarchical Model for Spoken Language Recognition ... Ferrer, Luciana; Castan, Diego; McLaren, Mitchell. - : arXiv, 2022 BASE Show details 13 Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition ... Liu, Qianying; Yang, Yuhang; Gong, Zhuo. - : arXiv, 2022 BASE Show details 14 Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition ... Hernandez, Abner; Pérez-Toro, Paula Andrea; Nöth, Elmar. - : arXiv, 2022 BASE Show details 15 Multilingual Simultaneous Speech Translation ... Subramanya, Shashank; Niehues, Jan. - : arXiv, 2022 BASE Show details 16 Code-Switching Text Augmentation for Multilingual Speech Processing ... Hussein, Amir; Chowdhury, Shammur Absar; Abdelali, Ahmed. - : arXiv, 2022 BASE Show details 17 Multilingual and Multimodal Abuse Detection ... Sharon, Rini; Shah, Heet; Mukherjee, Debdoot. - : arXiv, 2022 BASE Show details 18 Self-supervised Learning with Random-projection Quantizer for Speech Recognition ... Chiu, Chung-Cheng; Qin, James; Zhang, Yu. - : arXiv, 2022 BASE Show details 19 BEA-Base: A Benchmark for ASR of Spontaneous Hungarian ... Mihajlik, P.; Balog, A.; Gráczi, T. E.. - : arXiv, 2022 BASE Show details 20 CVSS Corpus and Massively Multilingual Speech-to-Speech Translation ... Jia, Ye; Ramanovich, Michelle Tadmor; Wang, Quan. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5...23

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