Datasets:
File size: 2,795 Bytes
ec4d4bb 9566d15 ec4d4bb 9566d15 8759715 9566d15 8759715 9566d15 8759715 9566d15 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 | ---
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/
```
|