---
configs:
  - config_name: work
    data_dir: work
  - config_name: call_center
    data_dir: call_center
  - config_name: phone_calls
    data_dir: phone_calls
license: cc-by-nc-4.0
task_categories:
  - audio-classification
tags:
  - voice-isolation
  - speech
  - noise-reduction
pretty_name: Voice Isolation Benchmark - Processed Audios
---

# Voice Isolation Benchmark – Processed Audios

Audio samples processed by four Krisp Voice Isolation models. Each scenario folder contains subfolders for every model, with one processed `.wav` file per original sample.

## Voice Isolation Models

### VI 2.5 Default (`vi_2_5_default`)

The main Voice Isolation model. Strongest at removing noise and other speakers. Goes fully silent when only a bystander is talking.

### VI 2.5 Balanced (`vi_2_5_balanced`)

Strongly removes noise and background voices while applying lighter processing when the main speaker is talking. This keeps their voice sounding natural, but a small amount of background sound may still come through.

### VI 2.5 Lite (`vi_2_5_lite`)

Part of the 2.5 family, requiring about a third of the compute. While the full VI 2.5 Default remains the recommended choice for the hardest cases, Lite provides comparable quality on average, cutting errors by ~68% on the full benchmark.

### VI 2.5 HD (`vi_2_5_hd`)

Similar to VI 2.5 Default, but designed for 32 kHz high-fidelity audio streams (such as WebRTC or WebSocket applications) rather than narrowband telephony codecs.

## Audio Format

All processed files are uncompressed WAV (PCM 16-bit signed little-endian), mono channel.
Default, Balanced, and Lite models operate on 16 kHz sampling rate. HD processes the full 32 kHz stream, preserving the original sample rate.

## What is released

This dataset contains the output of four Krisp Voice Isolation models applied to every recording in the [Voice Isolation Benchmark Dataset](https://huggingface.co/datasets/Krisp-AI/VoiceIsolation-Benchmark-Dataset). Benchmark results across 11 STT configurations are published as a [Space](https://huggingface.co/spaces/Krisp-AI/VoiceIsolation-Benchmark), where the evaluation methodology (corpus-level WER via `jiwer`, DNSMOS-C NISQA on primary segments) is documented.

## Folder Structure

```
Processed_Audios/
├── call_center/
│   ├── metadata.jsonl
│   ├── vi_2_5_default/
│   ├── vi_2_5_balanced/
│   ├── vi_2_5_lite/
│   └── vi_2_5_hd/
├── phone_calls/
│   ├── metadata.jsonl
│   ├── vi_2_5_default/
│   ├── vi_2_5_balanced/
│   ├── vi_2_5_lite/
│   └── vi_2_5_hd/
└── work/
    ├── metadata.jsonl
    ├── vi_2_5_default/
    ├── vi_2_5_balanced/
    ├── vi_2_5_lite/
    └── vi_2_5_hd/


```