SAA decides whether speech was meant for a device before it reaches the voice AI stack, so agents respond only when ...

So, as the title suggests, I have built a local "transcription + speaker diarization" environment on my MacBook Air (M3+24GB). Since I have almost zero foundational knowledge, I had Gemini support me ...

Imagine trying to make sense of a chaotic conversation where multiple voices overlap, each contributing to a critical discussion. Without the ability to distinguish “who said what,” the audio becomes ...

I got this when I try to run audio in Malay language. (whisper-diarization) C:\MyAI\whisper-diarization>python diarize.py -a audio.wav --whisper-model large-v3-turbo --suppress_numerals --no-stem ...

Have you ever been in a conversation where everyone talks at once, and it’s nearly impossible to figure out who said what? Or maybe you’ve tried using a voice assistant, only to be frustrated when it ...

AssemblyAI updates its Speaker Diarization model for better accuracy and multilingual support, alongside new tutorials for developers. AssemblyAI has recently unveiled significant updates to its ...

AssemblyAI announces major improvements to its Speaker Diarization service, enhancing accuracy by up to 13% and adding support for five new languages. AssemblyAI has announced significant upgrades to ...