自然言語処理分野のトップカンファレンス EMNLP 2023にて、ソニーの研究開発を紹介
Dialogue Generation Conditional on Predefined Stories: Preliminary Results
Self-supervised audio encoder with contrastive pretraining for Respiratory Anomaly Detection
Distortion Audio Effects: Learning How to Recover the Clean Signal
Automatic Music Mixing with Deep Learning and Out-of-Domain Data
Secondary channel estimation in spatial active noise control systems using a single moving higher order microphone
360 Virtual Mixing Environment
Fast Convergent Method for Active Noise Control Over Spatial Region with Causal Constraint
Hierarchical disentangled representation learning for singing voice conversion
Sound directivity by PT-symmetric acoustic dipoles
PT-symmetric Helmholtz resonator dipoles for sound directivity
Sound Quality Improvement of MPEG-H 3D Audio Encoder
Similarity-and-Independence-Aware Beamformer: Method for Target Source Extraction using Magnitude Spectrogram as Reference
Analytic error control methods for efficient rotation in dynamic binaural rendering of Ambisonics
Directional Dependency of Subjective Sound Pressure Perception on Three-Dimensional Sound
Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events
Improving Voice Separation by Incorporating End-To-End Speech Recognition
Array-Geometry-Aware Spatial Active Noise Control Based on Direction-of-Arrival Weighting