In this work, we exploit speech enhancement for improving a re-current neural network transducer (RNN-T) based ASR system. We employ a dense convolutional recurrent network (DCRN) for complex spectral ...

Our ECoG to Speech decoding framework is initially described in A Neural Speech Decoding Framework Leveraging Deep Learning and Speech Synthesis. We present a novel deep learning-based neural speech ...

audio python nlp machine-learning natural-language-processing deep-learning pytorch transformer speech-recognition glm pretrained-models hacktoberfest gemma vlm pytorch-transformers model-hub llm qwen ...

In this paper we propose a robust loudspeaker beamforming algorithm which is used to enhance the performance of voice driven applications in scenarios where the loudspeakers introduce the majority of ...