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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; Li, Ming; Zhang, Pengyuan. - : arXiv, 2022 Abstract: The voice conversion task is to modify the speaker identity of continuous speech while preserving the linguistic content. Generally, the naturalness and similarity are two main metrics for evaluating the conversion quality, which has been improved significantly in recent years. This paper presents the HCCL-DKU entry for the fake audio generation task of the 2022 ICASSP ADD challenge. We propose a novel ppg-based voice conversion model that adopts a fully end-to-end structure. Experimental results show that the proposed method outperforms other conversion models, including Tacotron-based and Fastspeech-based models, on conversion quality and spoofing performance against anti-spoofing systems. In addition, we investigate several post-processing methods for better spoofing power. Finally, we achieve second place with a deception success rate of 0.916 in the ADD challenge. ... Keyword: Audio and Speech Processing eess.AS; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD URL: https://dx.doi.org/10.48550/arxiv.2201.12567 https://arxiv.org/abs/2201.12567 BASE Hide 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 BASE Show 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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