TF-MoE: Time-Frequency Mixture-of-Experts for Efficient Speech Separation
cs.SD, cs.AI
Submitted: 2026-06-28
Updated: 2026-09-07
Comments: Accepted to Interspeech 2026
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- The VoicePrivacy 2024 Challenge Evaluation Plan
- TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation
- TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids
- Searching for Activation Functions
- Decoupled Weight Decay Regularization
- SGDR: Stochastic Gradient Descent with Warm Restarts
- An efficient encoder-decoder architecture with top-down attention for speech separation
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