Audio processing stands as a cornerstone of modern engineering and multimedia applications, bridging the transition from analogue methods to sophisticated digital techniques. Advances in digital ...

Audio signal processing has experienced rapid evolution in recent years, driven largely by developments in deep learning. Modern approaches now harness neural network architectures to extract ...

Lossless data compression of digital audio signals is useful when it is necessary to minimize the storage space or transmission bandwidth of audio data while still maintaining archival quality.

Applications for audio-event and speech recognition in smart-home devices, including audio source classification. Benefits of processing audio on the edge. Approaches for solving audio-event ...

The audio processing industry is witnessing a dynamic shift as leading players like OpenAI, ElevenLabs, and DeepGram compete to establish dominance. This competition is driving a concerted effort to ...