← Authors

Ryu Takeda

10 papers · 2016–2024 · 3 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (29) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) πŸƒ Academic Marathon (8) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (55) πŸ’Ž Century Club (10) πŸ”₯ Unstoppable (5)

Conferences

INTERSPEECH (7) COLING (2) IJCNLP (1)

Top co-authors

Kazunori Komatani (9) Kazuhiro Nakadai (2) Hokuto Munakata (2) Yui Sudo (1) Shun Katada (1) Takahiro Hara (1) Zhi Li (1)

Keywords

acoustic model (2) unsupervised learning (2) sound source separation (2) contrastive learning (1) blind source separation (1) sentiment analysis (1) variational inference (1) speech processing (1) word segmentation (1) automatic speech recognition (1) deep learning (1) affective computing (1) pitman-yor process (1) stick-breaking process (1) probability distribution (1) data augmentation (1) posterior probability (1) online learning (1) latent variable model (1) model compression (1)

Papers

Collecting Human-Agent Dialogue Dataset with Frontal Brain Signal toward Capturing Unexpressed Sentiment COLING 2024
Meta-domain Adversarial Contrastive Learning for Alleviating Individual Bias in Self-sentiment Predictions INTERSPEECH 2023
Recursive Sound Source Separation with Deep Learning-based Beamforming for Unknown Number of Sources INTERSPEECH 2023
Training Data Generation with DOA-based Selecting and Remixing for Unsupervised Training of Deep Separation Models INTERSPEECH 2022
Empirical Sampling from Latent Utterance-wise Evidence Model for Missing Data ASR based on Neural Encoder-Decoder Model INTERSPEECH 2022
Age Estimation with Speech-Age Model for Heterogeneous Speech Datasets INTERSPEECH 2021
Frame-Wise Online Unsupervised Adaptation of DNN-HMM Acoustic Model from Perspective of Robust Adaptive Filtering INTERSPEECH 2020
Node Pruning Based on Entropy of Weights and Node Activity for Small-Footprint Acoustic Model Based on Deep Neural Networks INTERSPEECH 2017
Unsupervised Segmentation of Phoneme Sequences based on Pitman-Yor Semi-Markov Model using Phoneme Length Context IJCNLP 2017
Bayesian Language Model based on Mixture of Segmental Contexts for Spontaneous Utterances with Unexpected Words COLING 2016