Audio Stream

Audio stream processing focuses on efficiently and reliably manipulating digital audio data in real-time, addressing challenges like noise reduction, voice activity detection, and the detection of manipulated or degraded audio. Current research emphasizes lightweight neural network architectures, such as convolutional and recurrent networks, for tasks including deepfake detection, packet loss concealment, and keyword spotting, often incorporating techniques like conditional denoising and successive refinement to improve accuracy and robustness. These advancements have significant implications for improving the quality and security of audio communication, particularly in applications like live fact-checking, voice conversion, and enhancing compressed audio.