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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...50 Hits 41 – 60 of 989 41 Unsupervised Data Selection via Discrete Speech Representation for ASR ... Lu, Zhiyun; Wang, Yongqiang; Zhang, Yu. - : arXiv, 2022 BASE Show details 42 Analysis of Voice Conversion and Code-Switching Synthesis Using VQ-VAE ... Das, Shuvayanti; Williams, Jennifer; Lai, Catherine. - : arXiv, 2022 BASE Show details 43 CVSS Corpus and Massively Multilingual Speech-to-Speech Translation ... Jia, Ye; Ramanovich, Michelle Tadmor; Wang, Quan. - : arXiv, 2022 BASE Show details 44 ADIMA: Abuse Detection In Multilingual Audio ... Gupta, Vikram; Sharon, Rini; Sawhney, Ramit. - : arXiv, 2022 BASE Show details 45 Improving the fusion of acoustic and text representations in RNN-T ... Zhang, Chao; Li, Bo; Lu, Zhiyun; Sainath, Tara N.; Chang, Shuo-yiin. - : arXiv, 2022 Abstract: The recurrent neural network transducer (RNN-T) has recently become the mainstream end-to-end approach for streaming automatic speech recognition (ASR). To estimate the output distributions over subword units, RNN-T uses a fully connected layer as the joint network to fuse the acoustic representations extracted using the acoustic encoder with the text representations obtained using the prediction network based on the previous subword units. In this paper, we propose to use gating, bilinear pooling, and a combination of them in the joint network to produce more expressive representations to feed into the output layer. A regularisation method is also proposed to enable better acoustic encoder training by reducing the gradients back-propagated into the prediction network at the beginning of RNN-T training. Experimental results on a multilingual ASR setting for voice search over nine languages show that the joint use of the proposed methods can result in 4%--5% relative word error rate reductions with only a few ... : Paper to appear at ICASSP 2022 ... Keyword: Artificial Intelligence cs.AI; 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.2201.10240 https://arxiv.org/abs/2201.10240 BASE Hide details 46 Data and knowledge-driven approaches for multilingual training to improve the performance of speech recognition systems of Indian languages ... Madhavaraj, A.; Ganesan, Ramakrishnan Angarai. - : arXiv, 2022 BASE Show details 47 Frequency-Directional Attention Model for Multilingual Automatic Speech Recognition ... Dobashi, Akihiro; Leow, Chee Siang; Nishizaki, Hiromitsu. - : arXiv, 2022 BASE Show details 48 Tackling data scarcity in speech translation using zero-shot multilingual machine translation techniques ... Dinh, Tu Anh; Liu, Danni; Niehues, Jan. - : arXiv, 2022 BASE Show details 49 AVQVC: One-shot Voice Conversion by Vector Quantization with applying contrastive learning ... Tang, Huaizhen; Zhang, Xulong; Wang, Jianzong. - : arXiv, 2022 BASE Show details 50 Multimodal Clustering with Role Induced Constraints for Speaker Diarization ... Flemotomos, Nikolaos; Narayanan, Shrikanth. - : arXiv, 2022 BASE Show details 51 Cross-view Brain Decoding ... Oota, Subba Reddy; Arora, Jashn; Gupta, Manish. - : arXiv, 2022 BASE Show details 52 Freeform Body Motion Generation from Speech ... Xu, Jing; Zhang, Wei; Bai, Yalong. - : arXiv, 2022 BASE Show details 53 Linguistic-Acoustic Similarity Based Accent Shift for Accent Recognition ... Shao, Qijie; Yan, Jinghao; Kang, Jian. - : arXiv, 2022 BASE Show details 54 Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset ... Yu, Tiezheng; Frieske, Rita; Xu, Peng. - : arXiv, 2022 BASE Show details 55 WavThruVec: Latent speech representation as intermediate features for neural speech synthesis ... Siuzdak, Hubert; Dura, Piotr; van Rijn, Pol. - : arXiv, 2022 BASE Show details 56 Knowledge Transfer from Large-scale Pretrained Language Models to End-to-end Speech Recognizers ... Kubo, Yotaro; Karita, Shigeki; Bacchiani, Michiel. - : arXiv, 2022 BASE Show details 57 The VoicePrivacy 2022 Challenge Evaluation Plan ... Tomashenko, Natalia; Wang, Xin; Miao, Xiaoxiao. - : arXiv, 2022 BASE Show details 58 A Character-level Span-based Model for Mandarin Prosodic Structure Prediction ... Chen, Xueyuan; Song, Changhe; Zhou, Yixuan. - : arXiv, 2022 BASE Show details 59 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 60 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 Page: 1 2 3 4 5 6 7...50

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