Instructions to use SpireLab/spire_respin_baselines_espnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use SpireLab/spire_respin_baselines_espnet with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "SpireLab/spire_respin_baselines_espnet" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
Add Vaani-Benchmark-V1.0 eval results
#2
by PranavdbhatArtpark - opened
.eval_results/ARTPARK-IISc-Vaani-Benchmark-V1-0.yaml
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- dataset:
|
| 2 |
+
id: ARTPARK-IISc/Vaani-Benchmark-V1.0
|
| 3 |
+
task_id: Hindi_WER
|
| 4 |
+
date: '2026-07-29'
|
| 5 |
+
value: 45.2
|