wav2vec2-large-xlsr-53-chinese-zh-cn
Maintainer: jonatasgrosman
73
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
wav2vec2-large-xlsr-53-chinese-zh-cn is a fine-tuned version of the Facebook/wav2vec2-large-xlsr-53 model for speech recognition in Chinese. The model was fine-tuned on the train and validation splits of Common Voice 6.1, CSS10, and ST-CMDS datasets. This model can be used for transcribing Chinese speech audio that is sampled at 16kHz.
Model inputs and outputs
Inputs
- Audio files: The model takes in audio files sampled at 16kHz.
Outputs
- Transcripts: The model outputs transcripts of the input speech audio in Chinese.
Capabilities
The wav2vec2-large-xlsr-53-chinese-zh-cn model demonstrates strong performance for speech recognition in the Chinese language. It was fine-tuned on a diverse set of Chinese speech datasets, allowing it to handle a variety of accents and domains.
What can I use it for?
This model can be used to transcribe Chinese speech audio for a variety of applications, such as automated captioning, voice interfaces, and speech-to-text pipelines. It could be particularly useful for developers building Chinese language products or services that require speech recognition capabilities.
Things to try
One interesting thing to try with this model is to compare its performance on different Chinese speech datasets or audio samples. This could help identify areas where the model excels or struggles, and inform future fine-tuning or model development efforts. Additionally, combining this model with language models or other components in a larger speech processing pipeline could lead to interesting applications.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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