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.

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 ...

Technologies such as Digital Television (DTV), DVD, Direct Broadcast Satellite (DBS), and Digital Cable use compression techniques to deliver extremely high-quality programming to consumers. With the ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...

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 ...

In iOS 18, Apple's Notes and Voice Memos apps get a new audio transcription feature. Here's everything you need to know about the different types of audio transcription, how they compare, and what ...

“First of all, 90% of your HD listeners are going to be in vehicles,” said Mike Pappas, vice president of global sales for Orban Labs. “This means that as you set up your processing, you will need to ...

On its own, your computer can't make a sound. Digital data from audio and video files needs to be turned into something that our ears can hear, and this requires specialized hardware and sophisticated ...

BOSTON--(BUSINESS WIRE)--As consumer intrigue and demand for accessible health wearables grows, the convergence of voice artificial intelligence (AI) and proactive health tools is setting the standard ...