Xen.AI Audio is an Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning based customizable solution for Audio data processing and related applications.
Audio Processing is one of most challenging and interesting domains of artificial intelligence (AI). It allows extracting useful metadata, sentiment and knowledge hidden in the waveform content in speech, ambient sounds and music, and helps to make decisions based on this embedded information. This technology is evolving, but there has been used in several ways in some of the most cutting-edge applications in media delivery, health, entertainment and using linguistic, transcription, translation and emotion recommendation.
Xen.AI Audio platform is based on analysis of audio signals, sampling, tones and are used in a variety of different applications to improve customer satisfaction and simplify life for system users by making predictions on recommendation systems with the metadata and text generated from audio signals. Industries such as health, entertainment, and education can further benefit tremendously from using audio processing. Various algorithms such as convolutional neural networks (CNNs), GRU (Gated Recurrent Units), GAN (Generative Adversarial Networks) and LSTMs (Long Short-Term Memory) are built-in to solve several problems faced today.