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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 Hits 1 – 2 of 2 1 Additional Shared Decoder on Siamese Multi-view Encoders for Learning Acoustic Word Embeddings ... Jung, Myunghun; Lim, Hyungjun; Goo, Jahyun. - : arXiv, 2019 BASE Show details 2 Learning acoustic word embeddings with phonetically associated triplet network ... Lim, Hyungjun; Kim, Younggwan; Jung, Youngmoon; Jung, Myunghun; Kim, Hoirin. - : arXiv, 2018 Abstract: Previous researches on acoustic word embeddings used in query-by-example spoken term detection have shown remarkable performance improvements when using a triplet network. However, the triplet network is trained using only a limited information about acoustic similarity between words. In this paper, we propose a novel architecture, phonetically associated triplet network (PATN), which aims at increasing discriminative power of acoustic word embeddings by utilizing phonetic information as well as word identity. The proposed model is learned to minimize a combined loss function that was made by introducing a cross entropy loss to the lower layer of LSTM-based triplet network. We observed that the proposed method performs significantly better than the baseline triplet network on a word discrimination task with the WSJ dataset resulting in over 20% relative improvement in recall rate at 1.0 false alarm per hour. Finally, we examined the generalization ability by conducting the out-of-domain test on the RM ... : 5 pages, 4 figures, submitted to ICASSP 2019 ... 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; Signal Processing eess.SP; Sound cs.SD URL: https://arxiv.org/abs/1811.02736 https://dx.doi.org/10.48550/arxiv.1811.02736 BASE Hide details

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