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wav2vec2-large-pitch-recognition

Automatic Speech Recognition

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	---
	language:
	- ja
	license: apache-2.0
	tags:
	- audio
	- automatic-speech-recognition
	- speech
	datasets:
	- Japanese accent datasets
	metrics:
	- wer

	# Optional. Add this if you want to encode your eval results in a structured way.
	model-index:
	- name: Wav2vec2 Accent Japanese
	results:
	- task:
	type: Speech Recognition # Required. Example: automatic-speech-recognition
	name: automatic-speech-recognition # Optional. Example: Speech Recognition
	dataset:
	type: accent_voice
	name: Japanese accent datasets
	args: ja
	metrics:
	- type: wer # Required.
	value: 15.82 # Required.
	name: Test WER
	---
	# 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%