asr-wav2vec2-commonvoice-15-fr : LeBenchmark/wav2vec2-FR-7K-large fine-tuned on CommonVoice 15.0 French

asr-wav2vec2-commonvoice-15-fr is an Automatic Speech Recognition model fine-tuned on CommonVoice 15.0 French set with LeBenchmark/wav2vec2-FR-7K-large as the pretrained wav2vec2 model.

Model Details

Model Description

• Developed by: Cécile Macaire
• Funded by [optional]: GENCI-IDRIS (Grant 2023-AD011013625R1) PROPICTO ANR-20-CE93-0005
• Language(s) (NLP): French
• License: Apache-2.0
• Finetuned from model [optional]: LeBenchmark/wav2vec2-FR-7K-large

Model Sources [optional]

• Repository: https://github.com/macairececile/speech-to-pictograms.
• Paper [optional]:

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

• Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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• Hours used: [More Information Needed]
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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

BibTeX:

@inproceedings{macaire24_interspeech, title = {Towards Speech-to-Pictograms Translation}, author = {Cécile Macaire and Chloé Dion and Didier Schwab and Benjamin Lecouteux and Emmanuelle Esperança-Rodier}, year = {2024}, booktitle = {Interspeech 2024}, pages = {857--861}, doi = {10.21437/Interspeech.2024-490}, issn = {2958-1796}, }