# Whisper-Medium-KsponSpeech

The Whisper-medium Model finetunned with [KsponSpeech](https://huggingface.co/datasets/Murple/ksponspeech)


### Model Description

<!-- Provide a longer summary of what this model is. -->



- **Developed by :** [yw0nam](https://github.com/yw0nam)
- **Shared by :** [yw0nam](https://github.com/yw0nam)
- **Model type :** ASR
- **License:** [apache-2.0]

## Uses

```

processor = WhisperProcessor.from_pretrained("openai/whisper-medium", language="ko", task="transcribe")
model = WhisperForConditionalGeneration.from_pretrained('spow12/whisper-medium-zeroth_korean').cuda()

data, _ = librosa.load(wav_path, sr=16000)
input_features = processor(data, sampling_rate=16000, return_tensors="pt").input_features.cuda()

predicted_ids = model.generate(input_features)
transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)[0]

```

### Metrics

Metric | result |
--- | --- | 
 WER | 3.96 |
 CER | 1.71 |
{"language": ["ko"], "license": "apache-2.0", "datasets": ["Bingsu/zeroth-korean"], "metrics": ["cer", "wer"], "pipeline_tag": "automatic-speech-recognition"}
transformers pytorch whisper automatic-speech-recognition ko dataset:Bingsu/zeroth-korean license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #whisper #automatic-speech-recognition #ko #dataset-Bingsu/zeroth-korean #license-apache-2.0 #endpoints_compatible #region-us 

Whisper-Medium-KsponSpeech
==========================


The Whisper-medium Model finetunned with KsponSpeech


### Model Description


* Developed by : yw0nam
* Shared by : yw0nam
* Model type : ASR
* License: [apache-2.0]


Uses
----


### Metrics




### Model Description


* Developed by : yw0nam
* Shared by : yw0nam
* Model type : ASR
* License: [apache-2.0]


Uses
---- ### Metrics
TAGS
#transformers #pytorch #whisper #automatic-speech-recognition #ko #dataset-Bingsu/zeroth-korean #license-apache-2.0 #endpoints_compatible #region-us 
 ### Model Description


* Developed by : yw0nam
* Shared by : yw0nam
* Model type : ASR
* License: [apache-2.0]


Uses
---- ### Metrics