# Automatic Speech Recognition on Telephony short (test)

Source: [Automatic Speech Recognition on Telephony short (test)](<https://www.sota2.com/research/sota/automatic-speech-recognition-on-telephony-short-test>)

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

Data updated: 2026-02-26T06:08:36.903Z

Evaluation of Automatic Speech Recognition performance on the test split of the Telephony short dataset, typically measured using Word Error Rate (WER).

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 | Automatic Speech Recognition |
| Dataset (including any stated split) | Telephony short (test) |
| Metric | WER (%) |
| Unit | PERCENT |
| Direction | Lower is better |
| Results loaded | 7 of 7 |
| 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

- [WER (%)](<https://www.sota2.com/research/sota/automatic-speech-recognition-on-telephony-short-test.md?metric=WER%20(%25)>): Lower is better; unit: PERCENT.

## Recorded results

| Method | WER (%) | Result date | Report paper |
| --- | --- | --- | --- |
| ConformerXL-RNNT-PS (Fine-tuned) | 21.24 | Not recorded | 68fa6d111e209131cea376a1 |
| ConformerXL-RNNT-P | 22.24 | Not recorded | 68fa6d111e209131cea376a1 |
| Streaming Model (Fine-tuned) | 22.45 | Not recorded | 68fa6d111e209131cea376a1 |
| Streaming Model (Fine-tuned) | 22.64 | Not recorded | 68fa6d111e209131cea376a1 |
| Student Streaming Model | 22.97 | Not recorded | 68fa6d111e209131cea376a1 |
| ConformerXL-RNNT-PS (Baseline) | 27.2 | Not recorded | 68fa6d111e209131cea376a1 |
| Streaming Model (Baseline) | 33.11 | Not recorded | 68fa6d111e209131cea376a1 |

### ConformerXL-RNNT-PS (Fine-tuned)

WER (%): 21.24. Result ID: 698f738e3a6c314849f8a9ad.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d111e209131cea376a1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d111e209131cea376a1.md>)

Recorded evaluation configuration: {"Fine-tuning Mixture (Telephony)":"0.8","Fine-tuning Mixture (Video)":"0.2","Fine-tuning Mixture (NST)":"N/A"}. This record does not assert independent reproduction.

### ConformerXL-RNNT-P

WER (%): 22.24. Result ID: 698f738e3a6c314849f8a9ab.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d111e209131cea376a1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d111e209131cea376a1.md>)

Recorded evaluation configuration: {"Fine-tuning Mixture (Telephony)":"0.8","Fine-tuning Mixture (Video)":"0.2","Fine-tuning Mixture (NST)":"N/A"}. This record does not assert independent reproduction.

### Streaming Model (Fine-tuned)

WER (%): 22.45. Result ID: 698f738e3a6c314849f8a9a9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d111e209131cea376a1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65191e209131cea08533.md>)

Recorded evaluation configuration: {"Fine-tuning Mixture (Telephony)":"1.0","Fine-tuning Mixture (Video)":"N/A","Fine-tuning Mixture (NST)":"N/A"}. This record does not assert independent reproduction.

### Streaming Model (Fine-tuned)

WER (%): 22.64. Result ID: 698f738e3a6c314849f8a9aa.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d111e209131cea376a1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65191e209131cea08533.md>)

Recorded evaluation configuration: {"Fine-tuning Mixture (Telephony)":"0.8","Fine-tuning Mixture (Video)":"0.2","Fine-tuning Mixture (NST)":"N/A"}. This record does not assert independent reproduction.

### Student Streaming Model

WER (%): 22.97. Result ID: 698f738e3a6c314849f8a9ae.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d111e209131cea376a1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d111e209131cea376a1.md>)

Recorded evaluation configuration: {"Fine-tuning Mixture (Telephony)":"0.8","Fine-tuning Mixture (Video)":"0.2","Fine-tuning Mixture (NST)":"0.2"}. This record does not assert independent reproduction.

### ConformerXL-RNNT-PS (Baseline)

WER (%): 27.2. Result ID: 698f738e3a6c314849f8a9ac.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d111e209131cea376a1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d111e209131cea376a1.md>)

Recorded evaluation configuration: {"Fine-tuning Mixture (Telephony)":"N/A","Fine-tuning Mixture (Video)":"N/A","Fine-tuning Mixture (NST)":"N/A"}. This record does not assert independent reproduction.

### Streaming Model (Baseline)

WER (%): 33.11. Result ID: 698f738e3a6c314849f8a9a8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d111e209131cea376a1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65191e209131cea08533.md>)

Recorded evaluation configuration: {"Fine-tuning Mixture (Telephony)":"N/A","Fine-tuning Mixture (Video)":"N/A","Fine-tuning Mixture (NST)":"N/A"}. This record does not assert independent reproduction.

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