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The NAIST ASR system for the 2015 Multi-Genre Broadcast challenge: On combination of deep learning systems using a rank-score function.

, , , , , and . ASRU, page 654-659. IEEE, (2015)

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Tensor Decomposition for Compressing Recurrent Neural Network., , and . IJCNN, page 1-8. IEEE, (2018)Multi-Scale Alignment and Contextual History for Attention Mechanism in Sequence-to-Sequence Model., , and . SLT, page 648-655. IEEE, (2018)Multi-Modal Multi-Task Deep Learning For Speaker And Emotion Recognition Of TV-Series Data., , , , and . O-COCOSDA, page 37-42. IEEE, (2018)Construction of English-French Multimodal Affective Conversational Corpus from TV Dramas., , , , and . LREC, European Language Resources Association (ELRA), (2018)Phoneme-level speaking rate variation on waveform generation using GAN-TTS., , and . O-COCOSDA, page 1-7. IEEE, (2019)Sequence-to-Sequence Learning via Attention Transfer for Incremental Speech Recognition., , , and . CoRR, (2020)An Isotropy Analysis for Self-Supervised Acoustic Unit Embeddings on the Zero Resource Speech Challenge 2021 Framework., and . ICASSP, page 1-5. IEEE, (2023)An Enhanced Electrolarynx with Automatic Fundamental Frequency Control based on Statistical Prediction., , , , and . ASSETS, page 435-436. ACM, (2015)Instance-Level Heterogeneous Domain Adaptation for Limited-Labeled Sketch-to-Photo Retrieval., , , , , and . IEEE Trans. Multim., (2021)Eliciting Cooperative Persuasive Dialogue by Multimodal Emotional Robot., , , , and . IWSDS, volume 943 of Lecture Notes in Electrical Engineering, page 143-158. Springer, (2021)