# ASR reliability selection on JASMIN Dutch Dialogue Material

Source: [ASR reliability selection on JASMIN Dutch Dialogue Material](<https://www.sota2.com/research/sota/asr-reliability-selection-on-jasmin-dutch-dialogue-material>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-04-23T06:16:46.339Z

Evaluation of ASR reliability selection performance on the JASMIN Dutch Dialogue Material dataset, measured using Precision (P), Recall (R), F1 score, and Matthews Correlation Coefficient (MCC).

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | ASR reliability selection |
| Dataset (including any stated split) | JASMIN Dutch Dialogue Material |
| Metric | Precision |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Precision](<https://www.sota2.com/research/sota/asr-reliability-selection-on-jasmin-dutch-dialogue-material.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/asr-reliability-selection-on-jasmin-dutch-dialogue-material.md?metric=Recall>): Higher is better; unit: PERCENT.

- [F1 Score](<https://www.sota2.com/research/sota/asr-reliability-selection-on-jasmin-dutch-dialogue-material.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

- [MCC](<https://www.sota2.com/research/sota/asr-reliability-selection-on-jasmin-dutch-dialogue-material.md?metric=MCC>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Precision | Result date | Report paper |
| --- | --- | --- | --- |
| Agreement Whisper-V2 and Whisper-FT | 97.4 | Not recorded | 69e9a76455a3c32af89f6ec2 |
| Whisper-FT | 88.9 | Not recorded | 69e9a76455a3c32af89f6ec2 |
| Whisper-V2 | 62.1 | Not recorded | 69e9a76455a3c32af89f6ec2 |

### Agreement Whisper-V2 and Whisper-FT

Precision: 97.4. Result ID: 69e9b8e947f34ce924d03996.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a76455a3c32af89f6ec2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69e9a76455a3c32af89f6ec2.md>)

Recorded evaluation configuration: {"Selection Logic":"\[LLM-classification\]","LLM Model":"ChatGPT-5 (gpt-5-2025-08-07)"}. This record does not assert independent reproduction.

### Whisper-FT

Precision: 88.9. Result ID: 69e9b8e947f34ce924d03995.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a76455a3c32af89f6ec2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69e9a76455a3c32af89f6ec2.md>)

Recorded evaluation configuration: {"Selection Logic":"\[LLM-classification\]","LLM Model":"ChatGPT-5 (gpt-5-2025-08-07)"}. This record does not assert independent reproduction.

### Whisper-V2

Precision: 62.1. Result ID: 69e9b8e947f34ce924d03994.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a76455a3c32af89f6ec2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69e9a76455a3c32af89f6ec2.md>)

Recorded evaluation configuration: {"Selection Logic":"\[LLM-classification\]","LLM Model":"ChatGPT-5 (gpt-5-2025-08-07)"}. This record does not assert independent reproduction.

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