Earshot is a fast voice activity detection library.

For more details, see VoiceActivityDetector.

use earshot::{VoiceActivityDetector, VoiceActivityProfile};

let mut vad = VoiceActivityDetector::new(VoiceActivityProfile::VERY_AGGRESSIVE);

while let Some(frame) = stream.next() {
	let is_speech_detected = vad.predict_16khz(&frame).unwrap();
	# assert_eq!(is_speech_detected, false);
}

Earshot

Ridiculously fast, only slightly bad voice activity detection in pure Rust. Port of the famous WebRTC VAD.

Features

• #![no_std], doesn't even require alloc
  • Internal buffers can get pretty big when stored on the stack, so the alloc feature is enabled by default, which allocates them on the heap instead.
• Stupidly fast; uses only fixed-point arithmetic
  • Achieves an RTF of ~3e-4 with 30 ms 48 KHz frames, ~3e-5 with 30 ms 8 KHz frames.
  • Comparatively, Silero VAD v4 w/ ort achieves an RTF of ~3e-3 with 60 ms 16 KHz frames.
• Okay accuracy
  • Great at distinguishing between silence and noise, but not between noise and speech.
  • Earshot provides alternative models with slight accuracy gains compared to the base WebRTC model.