AI Briefing#audio-processing
The latest AI and developer news about #audio-processing, with the original source and a short summary.
The latest AI and developer news about #audio-processing, with the original source and a short summary.
The character-level model outperforms all tested aligners across 29 languages and handles real-world noise with 57 ms average error.
Voice Activity Detection (VAD) classifies audio frames as speech or silence in real-time, enabling efficient transcription, telephony, and voice agent interactions.
Europe-based Desert Ant Labs has released 18 specialized small models, including audio and vision, that run on-device without cloud dependency.
Speaker diarization is a technology that identifies who spoke when in an audio recording.
audio.cpp version 0.6 has been released, supporting five new model families including MiniMax-H3 and a WebUI.
Samsung R&D Institute has unveiled LAFUFU, a technology that dramatically speeds up high-resolution speech restoration by leveraging Latent Space.
Released a rule-based audio alert detector built in Go.
ElevenLabs has launched the Voice Isolator API, which removes background noise from audio to extract clear dialogue.
New documentation and features for processing audio and image data have been added to the Hugging Face Datasets library.
This explains how to leverage the characteristics of the CTC architecture to perform high-quality speech recognition on long audio files without memory issues.
Resolved Safari compatibility issues and latency with HTMLAudioElement by using the BufferSource node of the Web Audio API.