Enhancing Speech Quality in Noisy and Reverberant Environments using a Progressive Approach with Speech Enhancement and Generative Codec Modules
A novel progressive learning pipeline that combines a lightweight speech enhancement module and a generative codec module to effectively denoise, dereverberate, and restore speech quality in challenging acoustic environments.
Wav2Vec2 Embeddings for On-Device Single-Channel Speech Enhancement: Investigating Utility and Limitations
SSL representations have limited value in improving on-device speech enhancement systems under low-SNR conditions.
Multichannel Long-Term Streaming Neural Speech Enhancement for Static and Moving Speakers
The author proposes an online SpatialNet for long-term streaming speech enhancement, utilizing variants like masked SA, Retention, and Mamba. A short-signal training plus long-signal fine-tuning strategy is introduced to improve length extrapolation ability.
CMGAN: Conformer-based Metric GAN for Speech Enhancement
The author proposes CMGAN for speech enhancement using conformer blocks and a metric discriminator to optimize evaluation scores, outperforming previous models on the Voice Bank+DEMAND dataset.
Unified Generative and Predictive Speech Enhancement Model
The author proposes a unified system that integrates generative and predictive decoders to enhance speech quality, demonstrating improved performance in terms of speed, convergence, and overall enhancement.
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