Automatic Speech Recognition
Transformers
Safetensors
German
Swiss German
whisper
swiss-german
dialect
asr
speech-recognition
fine-tuned
Eval Results (legacy)
Instructions to use Flix-AI/flix-swissgerman-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Flix-AI/flix-swissgerman-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Flix-AI/flix-swissgerman-full")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Flix-AI/flix-swissgerman-full") model = AutoModelForSpeechSeq2Seq.from_pretrained("Flix-AI/flix-swissgerman-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -1,36 +1,36 @@
|
|
| 1 |
---
|
| 2 |
language:
|
| 3 |
-
|
| 4 |
-
|
| 5 |
license: apache-2.0
|
| 6 |
library_name: transformers
|
| 7 |
pipeline_tag: automatic-speech-recognition
|
| 8 |
tags:
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
| 14 |
-
|
| 15 |
datasets:
|
| 16 |
-
|
| 17 |
model-index:
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
|
| 22 |
-
|
| 23 |
-
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
|
| 28 |
-
|
| 29 |
-
|
| 30 |
-
|
| 31 |
-
|
| 32 |
-
|
| 33 |
-
|
| 34 |
---
|
| 35 |
|
| 36 |
# flix-swissgerman-full
|
|
@@ -145,7 +145,10 @@ The training data covers all major Swiss German dialect regions:
|
|
| 145 |
title={Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Benchmark Contamination, Convention Mismatch, and an Honest Baseline at 25.6\% WER (13.8\% cWER)},
|
| 146 |
author={Akeret, Felix},
|
| 147 |
year={2026},
|
| 148 |
-
url={https://
|
|
|
|
|
|
|
|
|
|
| 149 |
}
|
| 150 |
```
|
| 151 |
|
|
|
|
| 1 |
---
|
| 2 |
language:
|
| 3 |
+
- de
|
| 4 |
+
- gsw
|
| 5 |
license: apache-2.0
|
| 6 |
library_name: transformers
|
| 7 |
pipeline_tag: automatic-speech-recognition
|
| 8 |
tags:
|
| 9 |
+
- whisper
|
| 10 |
+
- swiss-german
|
| 11 |
+
- dialect
|
| 12 |
+
- asr
|
| 13 |
+
- speech-recognition
|
| 14 |
+
- fine-tuned
|
| 15 |
datasets:
|
| 16 |
+
- i4ds/spc_r
|
| 17 |
model-index:
|
| 18 |
+
- name: flix-swissgerman-full
|
| 19 |
+
results:
|
| 20 |
+
- task:
|
| 21 |
+
type: automatic-speech-recognition
|
| 22 |
+
name: Speech Recognition
|
| 23 |
+
dataset:
|
| 24 |
+
name: ASGDTS (All Swiss German Dialects Test Set)
|
| 25 |
+
type: custom
|
| 26 |
+
config: full
|
| 27 |
+
split: test
|
| 28 |
+
args:
|
| 29 |
+
samples: 5750
|
| 30 |
+
metrics:
|
| 31 |
+
- type: wer
|
| 32 |
+
value: 25.6
|
| 33 |
+
name: WER
|
| 34 |
---
|
| 35 |
|
| 36 |
# flix-swissgerman-full
|
|
|
|
| 145 |
title={Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Benchmark Contamination, Convention Mismatch, and an Honest Baseline at 25.6\% WER (13.8\% cWER)},
|
| 146 |
author={Akeret, Felix},
|
| 147 |
year={2026},
|
| 148 |
+
url={https://arxiv.org/abs/2606.07608},
|
| 149 |
+
eprint={2606.07608},
|
| 150 |
+
archivePrefix={arXiv},
|
| 151 |
+
primaryClass={cs.CL}
|
| 152 |
}
|
| 153 |
```
|
| 154 |
|