# Wav2Vec2 Accent Japanese
Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Japanese accent dataset 
When using this model, make sure that your speech input is sampled at 16kHz.

## Test Result
WER: 15.82%  
{"language": ["ja"], "license": "apache-2.0", "tags": ["audio", "automatic-speech-recognition", "speech"], "datasets": ["Japanese accent datasets"], "metrics": ["wer"], "model-index": [{"name": "Wav2vec2 Accent Japanese", "results": [{"task": {"type": "Speech Recognition", "name": "automatic-speech-recognition"}, "dataset": {"name": "Japanese accent datasets", "type": "accent_voice", "args": "ja"}, "metrics": [{"type": "wer", "value": 15.82, "name": "Test WER"}]}]}]}
transformers pytorch safetensors wav2vec2 automatic-speech-recognition audio speech ja doi:10.57967/hf/0343 license:apache-2.0 model-index endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #wav2vec2 #automatic-speech-recognition #audio #speech #ja #doi-10.57967/hf/0343 #license-apache-2.0 #model-index #endpoints_compatible #region-us 

# Wav2Vec2 Accent Japanese
Fine-tuned facebook/wav2vec2-large-xlsr-53 on Japanese accent dataset 
When using this model, make sure that your speech input is sampled at 16kHz.

## Test Result
WER: 15.82%  
# Wav2Vec2 Accent Japanese
Fine-tuned facebook/wav2vec2-large-xlsr-53 on Japanese accent dataset 
When using this model, make sure that your speech input is sampled at 16kHz. ## Test Result
WER: 15.82%
TAGS
#transformers #pytorch #safetensors #wav2vec2 #automatic-speech-recognition #audio #speech #ja #doi-10.57967/hf/0343 #license-apache-2.0 #model-index #endpoints_compatible #region-us 
 # Wav2Vec2 Accent Japanese
Fine-tuned facebook/wav2vec2-large-xlsr-53 on Japanese accent dataset 
When using this model, make sure that your speech input is sampled at 16kHz. ## Test Result
WER: 15.82%
passage: TAGS
#transformers #pytorch #safetensors #wav2vec2 #automatic-speech-recognition #audio #speech #ja #doi-10.57967/hf/0343 #license-apache-2.0 #model-index #endpoints_compatible #region-us 
# Wav2Vec2 Accent Japanese
Fine-tuned facebook/wav2vec2-large-xlsr-53 on Japanese accent dataset 
When using this model, make sure that your speech input is sampled at 16kHz.## Test Result
WER: 15.82%