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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...91 Hits 61 – 80 of 1.811 61 CTA-RNN: Channel and Temporal-wise Attention RNN Leveraging Pre-trained ASR Embeddings for Speech Emotion Recognition ... Chen, Chengxin; Zhang, Pengyuan. - : arXiv, 2022 BASE Show details 62 Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model ... Shen, Ying; Yang, Huiyu; Lin, Lin. - : arXiv, 2022 BASE Show details 63 Fine-grained Noise Control for Multispeaker Speech Synthesis ... Nikitaras, Karolos; Vamvoukakis, Georgios; Ellinas, Nikolaos. - : arXiv, 2022 BASE Show details 64 Emotion Intensity and its Control for Emotional Voice Conversion ... Zhou, Kun; Sisman, Berrak; Rana, Rajib. - : arXiv, 2022 BASE Show details 65 Automatic Speech recognition for Speech Assessment of Preschool Children ... Abaskohi, Amirhossein; Mortazavi, Fatemeh; Moradi, Hadi. - : arXiv, 2022 BASE Show details 66 The HCCL-DKU system for fake audio generation task of the 2022 ICASSP ADD Challenge ... Chen, Ziyi; Hua, Hua; Zhang, Yuxiang. - : arXiv, 2022 BASE Show details 67 Dawn of the transformer era in speech emotion recognition: closing the valence gap ... Wagner, Johannes; Triantafyllopoulos, Andreas; Wierstorf, Hagen. - : arXiv, 2022 BASE Show details 68 Deep Speech Based End-to-End Automated Speech Recognition (ASR) for Indian-English Accents ... Dubey, Priyank; Shah, Bilal. - : arXiv, 2022 BASE Show details 69 KazakhTTS2: Extending the Open-Source Kazakh TTS Corpus With More Data, Speakers, and Topics ... Mussakhojayeva, Saida; Khassanov, Yerbolat; Varol, Huseyin Atakan. - : arXiv, 2022 BASE Show details 70 Automated speech tools for helping communities process restricted-access corpora for language revival efforts ... San, Nay; Bartelds, Martijn; Ògúnrèmí, Tolúlopé. - : arXiv, 2022 BASE Show details 71 Classifying Autism from Crowdsourced Semi-Structured Speech Recordings: A Machine Learning Approach ... Chi, Nathan A.; Washington, Peter; Kline, Aaron. - : arXiv, 2022 BASE Show details 72 Learning English with Peppa Pig ... Nikolaus, Mitja; Alishahi, Afra; Chrupała, Grzegorz. - : arXiv, 2022 BASE Show details 73 Language-Independent Speaker Anonymization Approach using Self-Supervised Pre-Trained Models ... Miao, Xiaoxiao; Wang, Xin; Cooper, Erica. - : arXiv, 2022 BASE Show details 74 Separate What You Describe: Language-Queried Audio Source Separation ... Liu, Xubo; Liu, Haohe; Kong, Qiuqiang. - : arXiv, 2022 BASE Show details 75 A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition ... Du, Ye-Qian; Zhang, Jie; Zhu, Qiu-Shi. - : arXiv, 2022 BASE Show details 76 DRSpeech: Degradation-Robust Text-to-Speech Synthesis with Frame-Level and Utterance-Level Acoustic Representation Learning ... Saeki, Takaaki; Tachibana, Kentaro; Yamamoto, Ryuichi. - : arXiv, 2022 BASE Show details 77 Arabic Text-To-Speech (TTS) Data Preparation ... Masri, Hala Al; Za'ter, Muhy Eddin. - : arXiv, 2022 Abstract: People may be puzzled by the fact that voice over recordings data sets exist in addition to Text-to-Speech (TTS), Synthesis system advancements, albeit this is not the case. The goal of this study is to explain the relevance of TTS as well as the data preparation procedures. TTS relies heavily on recorded data since it can have a substantial influence on the outcomes of TTS modules. Furthermore, whether the domain is specialized or general, appropriate data should be developed to address all predicted language variants and domains. Different recording methodologies, taking into account quality and behavior, may also be advantageous in the development of the module. In light of the lack of Arabic language in present synthesizing systems, numerous variables that impact the flow of recorded utterances are being considered in order to manipulate an Arabic TTS module. In this study, two viewpoints will be discussed: linguistics and the creation of high-quality recordings for TTS. The purpose of this work is to ... Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD URL: https://dx.doi.org/10.48550/arxiv.2204.03255 https://arxiv.org/abs/2204.03255 BASE Hide details 78 Hedy Lamarr and Frequency Hopping ... Đurić D., Miloš. - : Zenodo, 2022 BASE Show details 79 Impact of Naturalistic Field Acoustic Environments on Forensic Text-independent Speaker Verification System ... Wang, Zhenyu; Hansen, John H. L.. - : arXiv, 2022 BASE Show details 80 Inferring Pitch from Coarse Spectral Features ... Ma, Danni; Ryant, Neville; Liberman, Mark. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5 6 7 8...91

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