facebook/wav2vec2-lv-60-espeak-cv-ft

automatic-speech-recognition model by facebook

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This checkpoint leverages the pretrained checkpoint wav2vec2-large-lv60 and is fine-tuned on CommonVoice to recognize phonetic labels in multiple languages. When using the model make sure that your speech input is sampled at 16kHz. Note that the model outputs a string of phonetic labels. A dictionary mapping phonetic labels to words has to be used to map the phonetic output labels to output words. Paper: Simple and Effective Zero-shot Cross-lingual Phoneme Recognition Authors: Qiantong Xu, Alexei Baevski, Michael Auli Abstract Recent progress in self-training, self-supervised pretraining and unsupervised learning enabled well performing speech recognition systems without any labeled data. However, in many cases there is labeled data available for related languages which is not utilized by these methods. This paper extends previous…

facebook/wav2vec2-lv-60-espeak-cv-ft on Hugging Face A short preview, not the full document.

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Model overview

facebook/wav2vec2-lv-60-espeak-cv-ft is a automatic-speech-recognition model repository published by facebook on Hugging Face. The source reports the transformers library.

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Model facts

Task: automatic-speech-recognition
Library: transformers
Recent downloads (30 days): 284,963
Cumulative likes: 72
Hugging Face trending score: 2
Reported safetensors parameters: Not reported
Architecture: Wav2Vec2ForCTC
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2022-03-02T23:29:05.000Z
Last modified: 2023-10-31T13:13:45.000Z

Compatibility and lineage

Reported languages: multilingual

Base-model lineage was not included.

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