Gfanc-rl: Reinforcement learning-based generative fixed-filter active noise control
Abstract The recent Generative Fixed-filter Active Noise Control (GFANC) method achieves
a good trade-off between noise reduction performance and system stability. However …
a good trade-off between noise reduction performance and system stability. However …
STFT-domain neural speech enhancement with very low algorithmic latency
Deep learning based speech enhancement in the short-time Fourier transform (STFT)
domain typically uses a large window length such as 32 ms. A larger window can lead to …
domain typically uses a large window length such as 32 ms. A larger window can lead to …
Non-stationary prediction for addressing the non-causality problem in fixed-filter ANC headphones for speech reduction
In some situations, speech can be a disturbing source of ambient noise. Active noise control
(ANC) systems have difficulties in dealing with speech due to its non-stationary nature when …
(ANC) systems have difficulties in dealing with speech due to its non-stationary nature when …
Adaptive Sparse Linear Prediction in Fixed-Filter ANC Headphone Applications for Multi-Speaker Speech Reduction
In some cases, speech can be a disturbing source of ambient noise. Active noise control
(ANC) systems have difficulties in dealing with speech due to its non-stationary nature and …
(ANC) systems have difficulties in dealing with speech due to its non-stationary nature and …
Ultra-Low Latency Speech Enhancement-A Comprehensive Study
Speech enhancement models should meet very low latency requirements typically smaller
than 5 ms for hearing assistive devices. While various low-latency techniques have been …
than 5 ms for hearing assistive devices. While various low-latency techniques have been …