4 articles tagged with #speech-enhancement. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
Researchers have developed a new audio-visual speech enhancement framework that uses Large Language Models and reinforcement learning to improve speech quality. The method outperforms existing baselines by using LLM-generated natural language feedback as rewards for model training, providing more interpretable optimization compared to traditional scalar metrics.
Researchers have developed MeanFlowSE, a new generative AI model for speech enhancement that performs single-step inference instead of requiring multiple computational steps. The method achieves strong audio quality with substantially lower computational costs, making it suitable for real-time applications without needing knowledge distillation or external teachers.
VoiceBridge is a new AI model that can restore high-quality 48kHz speech from various types of audio distortions using a single one-step process. The model uses a latent bridge approach with an energy-preserving variational autoencoder and transformer architecture to handle multiple speech restoration tasks simultaneously.
CodecFlow is a new neural codec-based framework for speech bandwidth extension that efficiently reconstructs high-quality audio in compact latent space. The system uses conditional flow matching and residual vector quantization to improve speech clarity by restoring high-frequency content from low-bandwidth audio.
