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Large-Context Pointer-Generator Networks for Spoken-to-Written Style Conversion., , and . ICASSP, page 8189-8193. IEEE, (2020)Use of latent words language models in ASR: A sampling-based implementation., , , , and . ICASSP, page 8445-8449. IEEE, (2013)Latent Words Recurrent Neural Network Language Models for Automatic Speech Recognition., , , , and . IEICE Trans. Inf. Syst., 102-D (12): 2557-2567 (2019)Domain Adaptation Based on Mixture of Latent Words Language Models for Automatic Speech Recognition., , , , , and . IEICE Trans. Inf. Syst., 101-D (6): 1581-1590 (2018)Audio Visual Scene-Aware Dialog Generation with Transformer-based Video Representations., , , , and . CoRR, (2022)Downstream Task Agnostic Speech Enhancement with Self-Supervised Representation Loss., , , , , , , , , and 1 other author(s). CoRR, (2023)Training a Language Model Using Webdata for Large Vocabulary Japanese Spontaneous Speech Recognition., , and . INTERSPEECH, page 1465-1468. ISCA, (2011)Joint Maximization Decoder with Neural Converters for Fully Neural Network-Based Japanese Speech Recognition., , , , , , and . INTERSPEECH, page 4410-4414. ISCA, (2019)Prosody Aware Word-Level Encoder Based on BLSTM-RNNs for DNN-Based Speech Synthesis., , , and . INTERSPEECH, page 764-768. ISCA, (2017)Hierarchical LSTMs with Joint Learning for Estimating Customer Satisfaction from Contact Center Calls., , , , and . INTERSPEECH, page 1716-1720. ISCA, (2017)