Hello, everyone. Have you ever wanted to keep only the parts of a recording where someone is...
Hello, everyone.
Have you ever wanted to keep only the parts of a recording where someone is speaking?
Finding silence before transcription can reduce downstream work and divide a long recording into more manageable pieces.
Today, I will use the ONNX model from Silero VAD to detect speech in a roughly 14-second conversation and extract each segment as a WAV file.
What I Tested
Hello, everyone. When listening to a conversation, we naturally keep track of who is speaking. A...
A Blog post by Adalat AI on Hugging Face
I built NOVA-VAD — a lightweight, explainable Voice Activity Detector that beats every major open...
TL;DR We're building a script that takes a video in English and produces the same video...
Building a Scalable Audio Transcription Pipeline with Faster-Whisper Modern audio...
A complete walkthrough of speech transcription, LLM inference, tokenization, and 4-bit quantization....
