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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 6 7 8 9...50 Hits 81 – 100 of 989 81 Common Phone: A Multilingual Dataset for Robust Acoustic Modelling ... Klumpp, Philipp; Arias-Vergara, Tomás; Pérez-Toro, Paula Andrea. - : arXiv, 2022 BASE Show details 82 Polyphone disambiguation and accent prediction using pre-trained language models in Japanese TTS front-end ... Hida, Rem; Hamada, Masaki; Kamada, Chie. - : arXiv, 2022 BASE Show details 83 Low-dimensional representation of infant and adult vocalization acoustics ... Pagliarini, Silvia; Schneider, Sara; Kello, Christopher T.. - : arXiv, 2022 BASE Show details 84 Dual-Decoder Transformer For end-to-end Mandarin Chinese Speech Recognition with Pinyin and Character ... Yang, Zhao; Xi, Wei; Wang, Rui. - : arXiv, 2022 BASE Show details 85 Importance of Different Temporal Modulations of Speech: A Tale of Two Perspectives ... Sadhu, Samik; Hermansky, Hynek. - : arXiv, 2022 BASE Show details 86 Leveraging Phone Mask Training for Phonetic-Reduction-Robust E2E Uyghur Speech Recognition ... Ma, Guodong; Hu, Pengfei; Kang, Jian. - : arXiv, 2022 BASE Show details 87 Similarity and Content-based Phonetic Self Attention for Speech Recognition ... Shim, Kyuhong; Sung, Wonyong. - : arXiv, 2022 BASE Show details 88 BERT-LID: Leveraging BERT to Improve Spoken Language Identification ... Nie, Yuting; Zhao, Junhong; Zhang, Wei-Qiang. - : arXiv, 2022 BASE Show details 89 Chain-based Discriminative Autoencoders for Speech Recognition ... Lee, Hung-Shin; Huang, Pin-Tuan; Cheng, Yao-Fei. - : arXiv, 2022 BASE Show details 90 Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis ... Wang, Zexun; Le, Yuquan; Zhu, Yi. - : arXiv, 2022 BASE Show details 91 STRATA: Word Boundaries & Phoneme Recognition From Continuous Urdu Speech using Transfer Learning, Attention, & Data Augmentation ... Naeem, Saad; Beg, Omer. - : arXiv, 2022 BASE Show details 92 Three-Module Modeling For End-to-End Spoken Language Understanding Using Pre-trained DNN-HMM-Based Acoustic-Phonetic Model ... Wang, Nick J. C.; Wang, Lu; Sun, Yandan. - : arXiv, 2022 BASE Show details 93 Speech segmentation using multilevel hybrid filters ... Faundez-Zanuy, Marcos; Vallverdu-Bayes, Francesc. - : arXiv, 2022 BASE Show details 94 On the relevance of language in speaker recognition ... Satue-Villar, Antonio; Faundez-Zanuy, Marcos. - : arXiv, 2022 BASE Show details 95 Improving speaker de-identification with functional data analysis of f0 trajectories ... Tavi, Lauri; Kinnunen, Tomi; Hautamäki, Rosa González. - : arXiv, 2022 BASE Show details 96 Unsupervised word-level prosody tagging for controllable speech synthesis ... Guo, Yiwei; Du, Chenpeng; Yu, Kai. - : arXiv, 2022 BASE Show details 97 Filter-based Discriminative Autoencoders for Children Speech Recognition ... Tai, Chiang-Lin; Lee, Hung-Shin; Tsao, Yu. - : arXiv, 2022 BASE Show details 98 Transducer-based language embedding for spoken language identification ... Shen, Peng; Lu, Xugang; Kawai, Hisashi. - : arXiv, 2022 BASE Show details 99 Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0 ... Bayerl, Sebastian P.; Wagner, Dominik; Nöth, Elmar; Riedhammer, Korbinian. - : arXiv, 2022 Abstract: Stuttering is a varied speech disorder that harms an individual's communication ability. Persons who stutter (PWS) often use speech therapy to cope with their condition. Improving speech recognition systems for people with such non-typical speech or tracking the effectiveness of speech therapy would require systems that can detect dysfluencies while at the same time being able to detect speech techniques acquired in therapy. This paper shows that fine-tuning wav2vec 2.0 for the classification of stuttering on a sizeable English corpus containing stuttered speech, in conjunction with multi-task learning, boosts the effectiveness of the general-purpose wav2vec 2.0 features for detecting stuttering in speech; both within and across languages. We evaluate our method on Fluencybank and the German therapy-centric Kassel State of Fluency (KSoF) dataset by training Support Vector Machine classifiers using features extracted from the fine-tuned models for six different stuttering-related events types: blocks, ... : Submitted to Interspeech 2022 ... 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.2204.03417 https://arxiv.org/abs/2204.03417 BASE Hide details 100 Multi-sequence Intermediate Conditioning for CTC-based ASR ... Fujita, Yusuke; Komatsu, Tatsuya; Kida, Yusuke. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5 6 7 8 9...50

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