| --- |
| 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/ |
| |
| |
| ``` |
|
|
